Software Engineering Conference Papers from the 2020s

This webpage is an attempt to assemble a ranking of top-cited software engineering conference papers from the 2020s. The ranking has been created based on citations of papers published at top software engineering venues. More details are available here.

Top conference papers of the 2020s normalized by age ⌄

  1. 1
    Islem Bouzenia, Premkumar T. Devanbu, and Michael Pradel:
    RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.
    International Conference on Software Engineering (ICSE), 2025
    438 cites at Semantic Scholar
    6386% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, and Yizheng Chen:
    Vulnerability Detection with Code Language Models: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    313 cites at Semantic Scholar
    4535% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang:
    Demystifying LLM-Based Software Engineering Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    248 cites at Semantic Scholar
    3572% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, and Brad A. Myers:
    Using an LLM to Help With Code Understanding.
    International Conference on Software Engineering (ICSE), 2024
    669 cites at Semantic Scholar
    3414% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, and Zibin Zheng:
    LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    218 cites at Semantic Scholar
    3128% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Michael Fu and Chakkrit Tantithamthavorn:
    LineVul: A Transformer-Based Line-Level Vulnerability Prediction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    🏆 Distinguished Paper
    566 cites at Semantic Scholar
    2221% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, and Lingming Zhang:
    Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    408 cites at Semantic Scholar
    2211% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang:
    Automated Program Repair in the Era of Large Pre-Trained Language Models.
    International Conference on Software Engineering (ICSE), 2023
    402 cites at Semantic Scholar
    2177% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, and Xin Xia:
    Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    145 cites at Semantic Scholar
    2047% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, and Mayur Naik:
    Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    141 cites at Semantic Scholar
    1988% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury:
    AutoCodeRover: Autonomous Program Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    391 cites at Semantic Scholar
    1954% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chunqiu Steven Xia and Lingming Zhang:
    Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each Using ChatGPT.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    379 cites at Semantic Scholar
    1891% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, and Alexey Svyatkovskiy:
    InferFix: End-to-End Program Repair with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    342 cites at Semantic Scholar
    1837% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    Large Language Models Are Few-Shot Testers: Exploring LLM-Based General Bug Reproduction.
    International Conference on Software Engineering (ICSE), 2023
    332 cites at Semantic Scholar
    1780% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, and Yang Liu:
    Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Haifeng Ruan, Yuntong Zhang, and Abhik Roychoudhury:
    SpecRover: Code Intent Extraction via LLMs.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang:
    Fuzz4All: Universal Fuzzing with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    349 cites at Semantic Scholar
    1733% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, and Michael R. Lyu:
    Loghub: A Large Collection of System Log Datasets for AI-Driven Log Analytics.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    314 cites at Semantic Scholar
    1678% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiahao Fan, Yi Li, Shaohua Wang, and Tien N. Nguyen:
    A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    685 cites at Semantic Scholar
    1663% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou:
    Evaluating Large Language Models in Class-Level Code Generation.
    International Conference on Software Engineering (ICSE), 2024
    335 cites at Semantic Scholar
    1660% above average of year
    Visited: Sep-2026
    Paper: DOI

Most frequent authors in the 2020s top 100 ⌄

  1. 1
    Chunqiu Steven Xia
    8 papers in this ranking
  2. 2
    Lingming Zhang
    8 papers in this ranking
  3. 3
    Michael Pradel
    6 papers in this ranking
  4. 4
    Abhik Roychoudhury
    4 papers in this ranking
  5. 5
    Gabriele Bavota
    4 papers in this ranking
  6. 6
    Ge Li
    4 papers in this ranking
  7. 7
    Lin Tan
    4 papers in this ranking
  8. 8
    Premkumar T. Devanbu
    4 papers in this ranking
  9. 9
    Thibaud Lutellier
    4 papers in this ranking
  10. 10
    Toufique Ahmed
    4 papers in this ranking
  11. 11
    Xin Peng
    4 papers in this ranking
  12. 12
    Alexey Svyatkovskiy
    3 papers in this ranking
  13. 13
    Antonio Mastropaolo
    3 papers in this ranking
  14. 14
    Chakkrit Tantithamthavorn
    3 papers in this ranking
  15. 15
    Chunyang Chen
    3 papers in this ranking
  16. 16
    Cuiyun Gao
    3 papers in this ranking
  17. 17
    Hongyu Zhang
    3 papers in this ranking
  18. 18
    Islem Bouzenia
    3 papers in this ranking
  19. 19
    Michael R. Lyu
    3 papers in this ranking
  20. 20
    Nan Jiang
    3 papers in this ranking

Top conference papers from 2026 normalized by age ⌄

  1. 1
    Ahmed Fawzy, Amjed Tahir, and Kelly Blincoe:
    Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    67 cites at Semantic Scholar
    4394% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shanchao Liang, Spandan Garg, and Roshanak Zilouchian Moghaddam:
    The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    48 cites at Semantic Scholar
    3120% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, and Qing Wang:
    ExpeRepair: Dual-Memory Enhanced LLM-Based Repository-Level Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    43 cites at Semantic Scholar
    2784% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yuan-An Xiao, Pengfei Gao, Chao Peng, and Yingfei Xiong:
    Reducing Cost of LLM Agents with Trajectory Reduction.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    40 cites at Semantic Scholar
    2583% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Aarya Doshi, Yining Hong, Congying Xu, Eunsuk Kang, Alexandros Kapravelos, and Christian Kästner:
    Towards Verifiably Safe Tool Use for LLM Agents.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    37 cites at Semantic Scholar
    2382% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Chaofan Wang, Tingrui Yu, Beijun Shen, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Chen Xie, and Xiaodong Gu:
    EvoC2Rust: A Skeleton-Guided Framework for Project-Level C-to-Rust Translation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    35 cites at Semantic Scholar
    2248% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Hao He, Courtney Miller, Shyam Agarwal, Christian Kästner, and Bogdan Vasilescu:
    Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Hao Li, Haoxiang Zhang, and Ahmed E. Hassan:
    AIDev: Studying AI Coding Agents on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Ying Xiao, Tianlin Li, Weisong Sun, Yang Liu, Yiling Lou, and Xuanzhe Liu:
    Fairness Testing of Large Language Models in Role-Playing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Deniz Simsek, Aryaz Eghbali, and Michael Pradel:
    PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Seyedmoein Mohsenimofidi, Matthias Galster, Christoph Treude, and Sebastian Baltes:
    Context Engineering for AI Agents in Open-Source Software.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    23 cites at Semantic Scholar
    1443% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Christoph Bühler, Matteo Biagiola, Luca Di Grazia, and Guido Salvaneschi:
    AgentBound: Securing Execution Boundaries of AI Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jiawei Shen, Chengcheng Wan, Ruoyi Qiao, Jiazhen Zou, Hang Xu, Yuchen Shao, Yueling Zhang, Weikai Miao, and Geguang Pu:
    Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, and Xiaodong Gu:
    In Line with Context: Repository-Level Code Generation via Context Inlining.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    19 cites at Semantic Scholar
    1175% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiaoqi Li, Yingjie Mao, Zexin Lu, Wenkai Li, and Zongwei Li:
    SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    17 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, and Preetha Chatterjee:
    Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Romain Robbes, Théo Matricon, Thomas Degueule, Andre Hora, and Stefano Zacchiroli:
    Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shan Jiang, Pranoy Kovuri, David Tao, and Zhixun Tan:
    CASCADE: LLM-Powered JavaScript Deobfuscator at Google.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    14 cites at Semantic Scholar
    839% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, and Ying Li:
    Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Shyam Agarwal, Hao He, and Bogdan Vasilescu:
    AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Ahmed Fawzy, Amjed Tahir, and Kelly Blincoe:
    Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    67 cites at Semantic Scholar
    4394% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shanchao Liang, Spandan Garg, and Roshanak Zilouchian Moghaddam:
    The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    48 cites at Semantic Scholar
    3120% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Aarya Doshi, Yining Hong, Congying Xu, Eunsuk Kang, Alexandros Kapravelos, and Christian Kästner:
    Towards Verifiably Safe Tool Use for LLM Agents.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    37 cites at Semantic Scholar
    2382% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chaofan Wang, Tingrui Yu, Beijun Shen, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Chen Xie, and Xiaodong Gu:
    EvoC2Rust: A Skeleton-Guided Framework for Project-Level C-to-Rust Translation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    35 cites at Semantic Scholar
    2248% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiaoqi Li, Yingjie Mao, Zexin Lu, Wenkai Li, and Zongwei Li:
    SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    17 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Shan Jiang, Pranoy Kovuri, David Tao, and Zhixun Tan:
    CASCADE: LLM-Powered JavaScript Deobfuscator at Google.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    14 cites at Semantic Scholar
    839% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, and Ying Li:
    Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Xueying Du, Jiayi Feng, Yi Zou, Wei Xu, Jie Ma, Wei Zhang, Sisi Liu, Xin Peng, and Yiling Lou:
    Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Xiaoqi Li, Zongwei Li, Wenkai Li, Zeng Zhang, and Lei Xie:
    AtomGraph: Tackling Atomicity Violation in Smart Contracts Using Multimodal GCNs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Mengxi Jia, and Ying Li:
    Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xiaoqi Li, Hailu Kuang, Wenkai Li, Zongwei Li, and Shipeng Ye:
    CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mara Ulloa, Jenna L. Butler, Sankeerti Haniyur, Courtney Miller, Barrett Amos, Advait Sarkar, and Margaret-Anne D. Storey:
    Product Manager Practices for Delegating Work to Generative AI: "Accountability Must Not Be Delegated to Non-Human Actors".
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xiaoqi Li, Lei Xie, Wenkai Li, and Zongwei Li:
    USCSA: Evolution-Aware Security Analysis for Proxy-Based Upgradeable Smart Contracts.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    David Williams, Maria Kechagia, Max Hort, Aldeida Aleti, Justyna Petke, and Federica Sarro:
    Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Prithwish Jana, Sam Davidson, Bhavana Bhasker, Andrey Kan, Anoop Deoras, and Laurent Callot:
    TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Chakkrit Kla Tantithamthavorn, Yaotian Zou, Andy Wong, Michael Gupta, Zhe Wang, Mike Buller, Ryan Jiang, Matthew Watson, Minwoo Jeong, Kun Chen, and Ming Wu:
    RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-Based Code Review Automation at Atlassian.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zixuan Feng, Sadia Afroz, and Anita Sarma:
    From Gains to Strains: Modeling Developer Burnout with GenAI Adoption.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Charlotte Brandebusemeyer, Tobias Schimmer, and Bert Arnrich:
    Developers' Experience with Generative AI - First Insights from an Empirical Mixed-Methods Field Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Heiko Koziolek, Thilo Braun, Virendra Ashiwal, Sofia Linsbauer, Marthe Ahlgreen Hansen, and Karoline Grotterud:
    Spec2Control: Automating PLC/DCS Control-Logic Engineering from Natural Language Requirements with LLMs - A Multi-Plant Evaluation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Moritz Beller, Amanda Park, Karim Nakad, Akshay Patel, Sarita Mohanty, Ford Garberson, Henri Verroken, Andrew Kennedy, Ian G. Malone, Vaishali Garg, and Pavel Avgustinov:
    What's DAT? Three Case Studies of Measuring Software Development Productivity at Meta With Diff Authoring Time.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Aarya Doshi, Yining Hong, Congying Xu, Eunsuk Kang, Alexandros Kapravelos, and Christian Kästner:
    Towards Verifiably Safe Tool Use for LLM Agents.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    37 cites at Semantic Scholar
    2382% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Xiaoqi Li, Yingjie Mao, Zexin Lu, Wenkai Li, and Zongwei Li:
    SCLA: Automated Smart Contract Summarization via LLMs and Control Flow Prompt.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    17 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Pei Xiao, and Ying Li:
    Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xiaoqi Li, Zongwei Li, Wenkai Li, Zeng Zhang, and Lei Xie:
    AtomGraph: Tackling Atomicity Violation in Smart Contracts Using Multimodal GCNs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiaoqi Li, Hailu Kuang, Wenkai Li, Zongwei Li, and Shipeng Ye:
    CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xiaoqi Li, Lei Xie, Wenkai Li, and Zongwei Li:
    USCSA: Evolution-Aware Security Analysis for Proxy-Based Upgradeable Smart Contracts.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    David Williams, Maria Kechagia, Max Hort, Aldeida Aleti, Justyna Petke, and Federica Sarro:
    Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Anatoly A. Krasnovsky:
    Model Discovery and Graph Simulation: A Lightweight Gateway to Chaos Engineering.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, and David Lo:
    PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Marco Alecci, Jordan Samhi, Tegawendé F. Bissyandé, and Jacques Klein:
    Replacing Training with Reasoning: Reinterpreting Classic ML Pipelines with LLMs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yan Liu, Jun Huang, Abdelwahab Hamou-Lhadj, and Zheng Li:
    Redundancy as the Shadow of Explainability: A Trade-Off Principle for AI-Intensive Systems.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nikolaos Louloudakis and Ajitha Rajan:
    A Selective Quantization Tuner for ONNX Models.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Brahim Mahmoudi, Zacharie Chenail-Larcher, Naouel Moha, Quentin Stiévenart, and Florent Avellaneda:
    Specification and Detection of LLM Code Smells.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at OpenAlex
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Willem Meijer, Kristian Sandahl, and Dániel Varró:
    Data-Aware Static Analysis: Improving Semantic Fault Detection in Machine Learning Code Using Data Characteristics.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Tiffani Nevels, Sanjay Podder, and Adam P. Burden:
    SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ciprian Teodorov, Joeri Exelmans, Salvador Martínez, Sylvain Guérin, and Hans Vangheluwe:
    The Design Multiverse: A Scientific Model for Design Evolution and Co-Evolution.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Max Unterbusch and Andreas Vogelsang:
    Context-Adaptive Requirements Defect Prediction Through Human-LLM Collaboration.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xinlong Zhao, Tong Jia, Minghua He, and Ying Li:
    Generality Is Not Enough: Zero-Label Cross-System Log-Based Anomaly Detection via Knowledge-Level Collaboration.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jie Zou, Simon Burton, Radu Calinescu, Ioannis Stefanakos, and Roger Rivett:
    Structural Causal World Models: Towards An Assurance Framework for Safety-Critical Systems and Safeguarded AI.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Elijah Kayode Adejumo, Mariam Guizani, Fatemeh Vares, and Brittany Johnson:
    Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Qiaolin Qin, Ronnie de Souza Santos, and Rodrigo O. Spínola:
    On the Role and Impact of GenAI Tools in Software Engineering Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Elizaveta Artser, Daniil Karol, Anna Potriasaeva, Aleksei Rostovskii, Katsiaryna Dzialets, Ekaterina Koshchenko, Xiaotian Su, April Yi Wang, and Anastasiia Birillo:
    Enhancing Debugging Skills With AI-Powered Assistance: A Real-Time Tool for Debugging Support.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Kiev Gama, Filipe Calegario, Victoria Jackson, Alexander Nolte, Luiz Augusto Morais, and Vinicius Cardoso Garcia:
    "Can You Feel the Vibes?": An Exploration of Novice Programmer Engagement with Vibe Coding.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Alif Al Hasan, Subarna Saha, and Mia Mohammad Imran:
    Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on R/learnprogramming.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Maximilian Sölch and Stephan Krusche:
    Scaling Assessment of Student Models with LLMs: Integrating Feedback into Practice.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wardah Naeem Awan, Maria Paasivaara, and Peter A. Gloor:
    When Emotions Matter: Speech-Based Emotion Detection in Capstone Project Retrospective Meetings While Working Hybrid.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Maria Clara Ribeiro de Menezes, Pedro Henrique Dias Valle, and Alessandreia Marta de Oliveira:
    Two Decades of Software Architecture Education: State of the Art, Challenges, and Future Directions.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Wardah Naeem Awan, Maria Paasivaara, and Peter A. Gloor:
    From Struggle to Success: Unveiling Students' Emotional Journeys During Capstone Projects.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ruzanna Chitchyan and Niki Mahmoudi:
    Embedding Sustainability in Software Engineering Curriculum: A Case Study.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Benedikt Fein, Gordon Fraser, and Steffen Herbold:
    AI-Driven Software Development: A New Course Concept and Assessment Model for the Era of Large Language Models.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Matthias Linhuber, Jan Philip Bernius, and Stephan Krusche:
    On-Premise Kubernetes in Software Engineering Education: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Walid Maalej:
    On Fun for Teaching Large Programming Courses.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Priscila Santiesteban, Emma Shedden, Madeline Endres, and Westley Weimer:
    An Empirical Study of Anonymous, Unmoderated, and Online Peer-to-Peer Programming Tutoring Conversations.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Wajdi Aljedaani, P. D. Parthasarathy, and Ahmed Aljohani:
    Who Teaches AI Ethics? Understanding the Gaps in AI Ethics Education in Computing Programs.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Chetan Arora, Ajanie Kodagoda Bammanna Arachchige, Jinchun Du, Muhammad Aamir Cheema, Aster Cosmos, Antonette Shibani, Vasudha Malhotra, Naeem Janjua, and Afaq Shah:
    GenEDIt: A Context-Aware Equity, Diversity and Inclusion Principles Integration Tool for Software Engineering Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tiago Piperno Bonetti, Matheus Molina Dias, Williamson Silva, and Thelma Elita Colanzi:
    EXEMPLIFY-SEE: A Structured Approach and Portal for Example-Based Learning in Software Engineering Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Claus Brabrand and Sue Sentance:
    Use-Modify-Create Turned "Upside Down" by AI: Towards Higher-Level Competences via the Scientific Method.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Nathan Cassee, Sankarsh Ravi, Ítalo Santos, Igor Steinmacher, and Alexander Serebrenik:
    What Barriers Do Students Experience When Trying to Contribute to Open Source Software Projects?
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jose Maria Zuzarte Reis Claver, Mahbod Tajdini, and Mauricio Verano Merino:
    The Clash of Codes: From Peer-to-Peer Duplication to AI-Generation in Introductory Programming Assignments.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Robert Alan Clements and Nicolas Thiebaut:
    But Have You Ever Deployed a Model to Production? Experiences with Teaching Machine Learning Operations in a Data Science Curriculum.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Ahmed Fawzy, Amjed Tahir, and Kelly Blincoe:
    Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    67 cites at Semantic Scholar
    4394% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shanchao Liang, Spandan Garg, and Roshanak Zilouchian Moghaddam:
    The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    48 cites at Semantic Scholar
    3120% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chaofan Wang, Tingrui Yu, Beijun Shen, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Chen Xie, and Xiaodong Gu:
    EvoC2Rust: A Skeleton-Guided Framework for Project-Level C-to-Rust Translation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    35 cites at Semantic Scholar
    2248% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shan Jiang, Pranoy Kovuri, David Tao, and Zhixun Tan:
    CASCADE: LLM-Powered JavaScript Deobfuscator at Google.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    14 cites at Semantic Scholar
    839% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xueying Du, Jiayi Feng, Yi Zou, Wei Xu, Jie Ma, Wei Zhang, Sisi Liu, Xin Peng, and Yiling Lou:
    Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Leyi Pan, Chiming Duan, Minghua He, Mengxi Jia, and Ying Li:
    Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Mara Ulloa, Jenna L. Butler, Sankeerti Haniyur, Courtney Miller, Barrett Amos, Advait Sarkar, and Margaret-Anne D. Storey:
    Product Manager Practices for Delegating Work to Generative AI: "Accountability Must Not Be Delegated to Non-Human Actors".
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Prithwish Jana, Sam Davidson, Bhavana Bhasker, Andrey Kan, Anoop Deoras, and Laurent Callot:
    TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chakkrit Kla Tantithamthavorn, Yaotian Zou, Andy Wong, Michael Gupta, Zhe Wang, Mike Buller, Ryan Jiang, Matthew Watson, Minwoo Jeong, Kun Chen, and Ming Wu:
    RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-Based Code Review Automation at Atlassian.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Charlotte Brandebusemeyer, Tobias Schimmer, and Bert Arnrich:
    Developers' Experience with Generative AI - First Insights from an Empirical Mixed-Methods Field Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Heiko Koziolek, Thilo Braun, Virendra Ashiwal, Sofia Linsbauer, Marthe Ahlgreen Hansen, and Karoline Grotterud:
    Spec2Control: Automating PLC/DCS Control-Logic Engineering from Natural Language Requirements with LLMs - A Multi-Plant Evaluation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Moritz Beller, Amanda Park, Karim Nakad, Akshay Patel, Sarita Mohanty, Ford Garberson, Henri Verroken, Andrew Kennedy, Ian G. Malone, Vaishali Garg, and Pavel Avgustinov:
    What's DAT? Three Case Studies of Measuring Software Development Productivity at Meta With Diff Authoring Time.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    José Cambronero, Michele Tufano, Sherry Shi, Renyao Wei, Grant Uy, Runxiang Cheng, Chin-Jung Liu, Shiying Pan, Satish Chandra, and Pat Rondon:
    Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Valerie Chen, Jasmyn He, Behnjamin Williams, Jason Valentino, and Ameet Talwalkar:
    Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna L. Butler, Robert DeLine, and Brian Houck:
    AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alexander Berndt, Thomas Bach, Rainer Gemulla, Marcus Kessel, and Sebastian Baltes:
    On the Flakiness of LLM-Generated Tests for Industrial and Open-Source Database Management Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ke Mao, Timotej Kapus, Cons T. Åhs, Matteo Marescotti, Daniel Ip, Ákos Hajdu, Sopot Cela, and Aparup Banerjee:
    WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Rangeet Pan, Tyler Stennett, Raju Pavuluri, Nate Levin, Alessandro Orso, and Saurabh Sinha:
    Hamster: A Large-Scale Study and Characterization of Developer-Written Tests.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali, and Thomas Peyrucain:
    Vision Language Model-Based Testing of Industrial Autonomous Mobile Robots.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yongxin Zhao, Shenglin Zhang, Yuxin Sun, Wenwei Gu, Yongqian Sun, Luping Wang, Li Shi, Cheng Huang, Guodong Yang, Liping Zhang, and Dan Pei:
    When LLMs Listen to Experts: Accurate Failure Diagnosis in Operating Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Zixuan Feng, Sadia Afroz, and Anita Sarma:
    From Gains to Strains: Modeling Developer Burnout with GenAI Adoption.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Dalal Alrajeh, Vesna Nowack, Patrick Benjamin, Katie Thomas, William Hobson, Carolina Gutierrez Muñoz, Catherine Hamilton-Giachritsis, Juliane A. Kloess, Jessica Woodhams, Daniel Butler, Mark Law, Ralph Morton, Benjamin Costello, Amy Burrell, Tim D. Grant, Prachiben Shah, Frances Adriana Laureano de Leon, and Mark Lee:
    Data-Dependent Goal Modeling for ML-Enabled Law Enforcement Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Alessio Bucaioni, Antonio Cicchetti, Gordana Dodig Crnkovic, Romina Spalazzese, Emma Söderberg, and Dániel Varró:
    Engineering Future Critical CPSs with Trustworthy GenAI Across the Lifecycle.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ricarda Anna-Lena Fischer, Ioana Visescu, Kezia Devathasan, Daniela Damian, and Emitzá Guzmán:
    From Inclusion to Action: The Role of Allyship for Women in Software Teams.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Bruno Guindani, Matteo Camilli, Livia Lestingi, and Marcello Maria Bersani:
    Agentic Generation of Structured Clinical Specifications for Digital Healthcare Services.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhinuan (Otto) Guo, Chushu Gao, and Justus Bogner:
    On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Omar Haggag, John C. Grundy, and Mohan Baruwal Chhetri:
    Click, Scroll, Consent: Uncovering Australia's Privacy Knowledge Crisis.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Thayssa Águila da Rocha, Luciano Arruda Teran, Marcelle Pereira Mota, Cleidson Ronald Botelho de Souza, Kiev Santos da Gama, and Gustavo Henrique Lima Pinto:
    Challenges and Enablers: Remote Work for People with Disabilities in Software Development Teams.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Giordano d'Aloisio, Max Hort, Rebecca Moussa, and Federica Sarro:
    FairRF: Multi-Objective Search for Single and Intersectional Software Fairness.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Muneera Bano, Rashina Hoda, and Didar Zowghi:
    Exploring Societal Biases in Generative AI Using Social Science Constructs and Theories.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Ann Barcomb, Mariana P. Bento, Giuseppe Destefanis, Sherlock A. Licorish, Cleyton Vanut Cordeiro de Magalhães, Ronnie de Souza Santos, and Mairieli Wessel:
    How Fair Is Software Fairness Testing?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Isabella Graßl:
    Beyond the Binary: Motivations, Challenges, and Strategies of Transgender and Non-Binary Software Engineering Students.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Amelia Kalecinska, Panagiotis Fotopoulos, and Emitzá Guzmán:
    From Big Tech to Big Politics: Users' Discourse on the Politicization of Technology Companies.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Mohamad Kassab:
    Cyberbullying Safety Engineering by Patent: Trends, Solution Paradigms, and Societal Impacts.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Hans Hassan Katib, Sree Pragnya Kota, and Emitzá Guzmán:
    Scrolling with Caution: Perceptions of Older Adults on Ethical Issues in Social Media.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yeqian Li and Kousar Aslam:
    Navigating Ethical Issues in Video Game Development: Insights from Practitioners.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lara Lima, Victor Anthony Alves, Carla I. M. Bezerra, and Diana Braga:
    Connecting Generations Through Code: GABI, A Community-Driven Framework for Engineering Inclusive Financial Software for the Elderly.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Melika Mirzaseyedi, Paula Lago, Laurie Anne Laberge, and Abdelwahab Hamou-Lhadj:
    Technohealth: A Modular Framework for Reproducible Research in Precision Healthcare with Heterogeneous Wearable Data.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Gianluca De Ninno, Martina De Sanctis, Paola Inverardi, Romina Spalazzese, and Christos Tsigkanos:
    Developers' Blind Spot: Designing Systems to Enable Stakeholders' Understanding of Ethical Qualities.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Lauren Olson, Emitzá Guzmán, and Florian Kunneman:
    PerspectiveCoach: Exploring LLMs for Developer Reflection.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, and Qing Wang:
    ExpeRepair: Dual-Memory Enhanced LLM-Based Repository-Level Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    43 cites at Semantic Scholar
    2784% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuan-An Xiao, Pengfei Gao, Chao Peng, and Yingfei Xiong:
    Reducing Cost of LLM Agents with Trajectory Reduction.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    40 cites at Semantic Scholar
    2583% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Ying Xiao, Tianlin Li, Weisong Sun, Yang Liu, Yiling Lou, and Xuanzhe Liu:
    Fairness Testing of Large Language Models in Role-Playing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Deniz Simsek, Aryaz Eghbali, and Michael Pradel:
    PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Christoph Bühler, Matteo Biagiola, Luca Di Grazia, and Guido Salvaneschi:
    AgentBound: Securing Execution Boundaries of AI Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jiawei Shen, Chengcheng Wan, Ruoyi Qiao, Jiazhen Zou, Hang Xu, Yuchen Shao, Yueling Zhang, Weikai Miao, and Geguang Pu:
    Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, and Xiaodong Gu:
    In Line with Context: Repository-Level Code Generation via Context Inlining.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    19 cites at Semantic Scholar
    1175% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Xin Peng, Zhenpeng Chen, and Yiling Lou:
    TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jing Liu, Seongmin Lee, Eleonora Losiouk, and Marcel Böhme:
    Evaluating LLM-Based Regression Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, and Shikun Zhang:
    SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yi-Hung Chou, Boyuan Jiang, Yi Wen Chen, Mingyue Weng, Victoria Jackson, Thomas Zimmermann, and James A. Jones:
    Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Wei Liu, Chao Peng, Pengfei Gao, Aofan Liu, Wei Zhang, Haiyan Zhao, and Zhi Jin:
    GraphLocator: Graph-Guided Causal Reasoning for Issue Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yang Chen, Toufique Ahmed, Reyhaneh Jabbarvand, and Martin Hirzel:
    Can Old Tests Do New Tricks for Resolving SWE Issues?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Aoyang Fang, Songhan Zhang, Yifan Yang, Haotong Wu, Junjielong Xu, Xuyang Wang, Rui Wang, Manyi Wang, Qisheng Lu, and Pinjia He:
    Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Ruida Hu, Xinchen Wang, Xin-Cheng Wen, Zhao Zhang, Bo Jiang, Pengfei Gao, Chao Peng, and Cuiyun Gao:
    Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Chakkrit Kla Tantithamthavorn, Hong Yi Lin, Patanamon Thongtanunam, Wachiraphan Charoenwet, Minwoo Jeong, and Ming Wu:
    HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lingzhe Zhang, Tong Jia, Mingyu Wang, Weijie Hong, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Nicholas Zhang, Renhai Chen, and Ying Li:
    Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ruixin Zhang, Wuyang Dai, Hung Viet Pham, Gias Uddin, Jinqiu Yang, and Song Wang:
    Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zhiyuan Peng, Wei Tao, Xin Yin, Chenhao Ying, Yuan Luo, and Yiwen Guo:
    PlayCoder: Making LLM-Generated GUI Code Playable.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar, and Martin Hirzel:
    Investigating Test Overfitting on SWE-Bench.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, and Qing Wang:
    ExpeRepair: Dual-Memory Enhanced LLM-Based Repository-Level Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    43 cites at Semantic Scholar
    2784% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuan-An Xiao, Pengfei Gao, Chao Peng, and Yingfei Xiong:
    Reducing Cost of LLM Agents with Trajectory Reduction.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    40 cites at Semantic Scholar
    2583% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Ying Xiao, Tianlin Li, Weisong Sun, Yang Liu, Yiling Lou, and Xuanzhe Liu:
    Fairness Testing of Large Language Models in Role-Playing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Deniz Simsek, Aryaz Eghbali, and Michael Pradel:
    PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    24 cites at Semantic Scholar
    1510% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Christoph Bühler, Matteo Biagiola, Luca Di Grazia, and Guido Salvaneschi:
    AgentBound: Securing Execution Boundaries of AI Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jiawei Shen, Chengcheng Wan, Ruoyi Qiao, Jiazhen Zou, Hang Xu, Yuchen Shao, Yueling Zhang, Weikai Miao, and Geguang Pu:
    Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    22 cites at Semantic Scholar
    1376% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, and Xiaodong Gu:
    In Line with Context: Repository-Level Code Generation via Context Inlining.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    19 cites at Semantic Scholar
    1175% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Xin Peng, Zhenpeng Chen, and Yiling Lou:
    TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jing Liu, Seongmin Lee, Eleonora Losiouk, and Marcel Böhme:
    Evaluating LLM-Based Regression Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, and Shikun Zhang:
    SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    11 cites at Semantic Scholar
    638% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yi-Hung Chou, Boyuan Jiang, Yi Wen Chen, Mingyue Weng, Victoria Jackson, Thomas Zimmermann, and James A. Jones:
    Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Wei Liu, Chao Peng, Pengfei Gao, Aofan Liu, Wei Zhang, Haiyan Zhao, and Zhi Jin:
    GraphLocator: Graph-Guided Causal Reasoning for Issue Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yang Chen, Toufique Ahmed, Reyhaneh Jabbarvand, and Martin Hirzel:
    Can Old Tests Do New Tricks for Resolving SWE Issues?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Aoyang Fang, Songhan Zhang, Yifan Yang, Haotong Wu, Junjielong Xu, Xuyang Wang, Rui Wang, Manyi Wang, Qisheng Lu, and Pinjia He:
    Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    8 cites at Semantic Scholar
    437% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhiyuan Peng, Wei Tao, Xin Yin, Chenhao Ying, Yuan Luo, and Yiwen Guo:
    PlayCoder: Making LLM-Generated GUI Code Playable.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Kishan Kumar Ganguly and Tim Menzies:
    How Low Can You Go? The Data-Light SE Challenge.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lianghong Guo, Yanlin Wang, Caihua Li, Wei Tao, Pengyu Yang, Jiachi Chen, Haoyu Song, Duyu Tang, and Zibin Zheng:
    SWE Data Construction, Automatically!
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Minh Le-Anh, Huyen Nguyen, Khanh An Tran, Nam Le Hai, Linh Ngo Van, Nghi D. Q. Bui, and Bach Le:
    Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Junyi Wang, Jialun Cao, and Zhongxin Liu:
    iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Chengpeng Wang, Yifei Gao, Wuqi Zhang, Xuwei Liu, Jinyao Guo, Mingwei Zheng, Qingkai Shi, and Xiangyu Zhang:
    NESA: Relational Neuro-Symbolic Static Program Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Kivanç Kuzey Dikici, Serdar Kara, Semih Çaglar, Eray Tüzün, and Sinem Sav:
    SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jonathan Katzy, Ali Al-Kaswan, Razvan Mihai Popescu, and Zhou Yang:
    The Poisoned Chalice of LLM Evaluation Report.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Antony Bartlett, Cynthia C. S. Liem, and Annibale Panichella:
    FSE-AIware Tool Competition 2026 - Agentic Based Python Dependency Resolution.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Samad Alias Nyein Chan and Manar H. Alalfi:
    VirtualHAB: A Simulated openHAB Digital Model for Rules Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Kowshik Chowdhury, Dipayan Banik, and Shazibul Islam Shamim:
    Breaking the Dependency Chaos: A Constraint-Driven Python Dependency Resolution Strategy with Selective LLM Imputation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yixin Li, Zhengran Zeng, Rui Xie, Wei Ye, and Shikun Zhang:
    Exp-SWE-Agent: A Memory-Enhanced Coding Agent for Sequential Issue Resolution.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Tran Chi Nguyen, Dao Sy Duy Minh, Trung Kiet Huynh, Pham Phu Hoa, Nguyen Lam Phu Quy, and Vu Nguyen:
    MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Benzhao Wu, Zhiwen Luo, Fangwen Mu, and Lijun Xiang:
    TwinMem-Agent: Episodic and Semantic Memory for Repository-Level Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Aleksi Huotala, Miikka Kuutila, Olli-Pekka Turtio, Simo Sipilä, and Mika Mäntylä:
    AISysRev - LLM-Based Tool for Title-Abstract Screening.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhuohang Shen, Mohammed Yaseen, Kevin Guan, Denini Silva, Marcelo d'Amorim, and Owolabi Legunsen:
    PyMOP: A Runtime Verification Tool for Python.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ragib Shahariar Ayon and Shibbir Ahmed:
    SpecPylot: Python Specification Generation with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Wen Li and Haipeng Cai:
    A Practical Fuzzer for the Python Runtime System.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Md Nafiu Rahman, Sadif Ahmed, Zahin Wahab, Gias Uddin, and Rifat Shahriyar:
    IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Saurabhsingh Rajput and Tushar Sharma:
    CodeGreen: Towards Improving Precision and Portability in Software Energy Measurement.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Shuaiyu Xie, Yang Luo, Yuzhen Tan, Yunqing Yong, Xiaosong Huang, Jian Wang, and Bing Li:
    ScalerEval: Automated and Consistent Evaluation Testbed for Auto-Scalers in Microservices.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Martim Afonso, Nuno Saavedra, Bruno Lourenço, Alexandra Mendes, and João F. Ferreira:
    ProfOlaf: Semi-Automated Tool for Systematic Literature Reviews.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Abhiram Bellur, Mohammed Raihan Ullah, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Helena Klause, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, and Danny Dig:
    CoRenameAgent: A Human-In-The-Loop, Multi-Agent Tool for Coordinated Rename Refactoring.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Dirk Beyer, Po-Chun Chien, Bo-Yuan Huang, Nian-Ze Lee, and Thomas Lemberger:
    HarnessForge: Automated Extraction of Verification Tasks from Industry-Scale Software Projects.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yifei Chen, Sarra Habchi, and Lili Wei:
    MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nithin Chepuri, Rajeev Thota, Venkat Kaushal Thippisetty, Sridhar Chimalakonda, and Sumith Shankar:
    ADATracer - Towards A Software Traceability Pipeline for ADA Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Amirreza Esmaeili and Fatemeh Hendijani Fard:
    TokenScope: Token-Level Explainability and Interpretability for Code-Oriented Tasks in Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yulai Fu, Yuanliang Chen, Fuchen Ma, Changjian Liu, Wanli Chen, Dalong Shi, Qiang Fu, and Heyuan Shi:
    Shark2Pit: Automated Test Template Generation for Protocol Fuzzing Based on Packet Parser.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mattia Giannaccari, Marco Raglianti, and Michele Lanza:
    ZION: System Exploration With Class Contours.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alexandra González, Oscar Cerezo, Xavier Franch, and Silverio Martínez-Fernández:
    A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Rylan Hiltz and Taher Ahmed Ghaleb:
    Mapping GitHub Sponsorships: A Longitudinal Observatory for Open-Source Sustainability.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Islem Khemissi, Moataz Chouchen, Dong Wang, and Raula Gaikovina Kula:
    SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xixian Liang, Cheng Peng, Bo Ma, Xiangchen Shen, Yiheng Xiong, and Ting Su:
    Kea2: Practical Property-Based Testing for Mobile Apps.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ziheng Liu, Runzhi He, and Minghui Zhou:
    Package Dashboard: A Cross-Ecosystem Framework for Dual-Perspective Analysis of Software Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Ideas, Visions, and Reflections (IVR) ⌄

  1. 1
    Lingzhe Zhang, Tong Jia, Mingyu Wang, Weijie Hong, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Nicholas Zhang, Renhai Chen, and Ying Li:
    Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar, and Martin Hirzel:
    Investigating Test Overfitting on SWE-Bench.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xiaoqi Li, Xin Wang, Wenkai Li, and Zongwei Li:
    PSR²: A Phase-Based Semantic Reasoning Framework for Atomicity Violation Detection via Contract Refinement.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xiaoqi Li, Shipeng Ye, Wenkai Li, and Zongwei Li:
    SCPatcher: Automated Smart Contract Code Repair via Retrieval-Augmented Generation and Knowledge Graph.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Quan Zhang, Lianhang Fu, Lvsi Lian, Gwihwan Go, Yujue Wang, Chijin Zhou, Yu Jiang, and Geguang Pu:
    Evaluating Privilege Usage of Agents with Real-World Tools.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Runxin Yang, Yuxuan Wan, Shuqing Li, and Michael R. Lyu:
    90% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lingzhe Zhang, Tong Jia, Weijie Hong, Mingyu Wang, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Nicholas Zhang, Renhai Chen, and Ying Li:
    RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mohd Sameen Chishti, Damilare Peter Oyinloye, and Jingyue Li:
    AgentReputation: A Decentralized Agentic AI Reputation Framework.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Shuzhao Feng, Boqi Chen, Brett H. Meyer, and Gunter Mussbacher:
    LLM-Assisted Repository-Level Generation with Structured Spec-Driven Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jialiang Gu, Keren Zhou, Daming Li, Hanyuan Shi, and Jialu Zhang:
    Context-Aware Feedback Compression in Online Judge Programming with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Nabiha Parvez, Tanvin Sarkar Pallab, Mia Mohammad Imran, and Tarannum Shaila Zaman:
    DePro: Understanding the Role of LLMs in Debugging Competitive Programming Code.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Osamah H. Alaini and Taher Ahmed Ghaleb:
    A Vision for Context-Aware CI Adoption Decisions.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mariam Guizani, Maduka Subasinghage, Sherlock A. Licorish, and Sofia Ouhbi:
    At What Cost? Software Developers' Well-Being in the Age of GenAI.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yusaku Kato, Norihiro Yoshida, Erina Makihara, and Katsuro Inoue:
    Software Testing Beyond Closed Worlds: Open-World Games as an Extreme Case.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Weixing Zhang, Mario Herb, Martin Armbruster, Bowen Jiang, Marcel Vielsack, and Anne Koziolek:
    Round-Trip Engineering for Tactical DDD: A Constraint-Based Vision for the Masses.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Jomar Thomas Almonte and Nathalia Moraes do Nascimento:
    Rethinking Software Quality Measurement: A Vision for AI-Assisted Triangulation in the Post-Metrics Era.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Teal Amore, Nathan Berman, and Siyuan Jiang:
    The Impact of Documentation on Test Engagement in Pull Requests in OSS.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ninad Anklesaria and Manish Motwani:
    Energy-Aware Test Prioritization for High-Performance Computing: A Multi-Objective Approach.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zohaib Arshid, Daniele Bifolco, Fiorella Zampetti, and Massimiliano Di Penta:
    Machine Learning in the Wild: Early Evidence of Non-Compliant ML-Automation in Open-Source Software.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Bimpe Ayoola, Anielle Andrade, Ronnie de Souza Santos, and Paul Ralph:
    Advancing Evidence-Based Social Sustainability in Software Engineering: A Research Roadmap.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Ruida Hu, Xinchen Wang, Xin-Cheng Wen, Zhao Zhang, Bo Jiang, Pengfei Gao, Chao Peng, and Cuiyun Gao:
    Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chakkrit Kla Tantithamthavorn, Hong Yi Lin, Patanamon Thongtanunam, Wachiraphan Charoenwet, Minwoo Jeong, and Ming Wu:
    HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ruixin Zhang, Wuyang Dai, Hung Viet Pham, Gias Uddin, Jinqiu Yang, and Song Wang:
    Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei, Sherry Shi, Grant Uy, Pat Rondon, and Franjo Ivancic:
    Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yayi Wang, Shenao Wang, Jian Zhao, Shaosen Shi, Ting Li, Yan Cheng, Lizhong Bian, Kan Yu, Yanjie Zhao, and Haoyu Wang:
    YASA: Scalable Multi-Language Taint Analysis on the Unified AST at Ant Group.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xinfang Chen, Siyang Xiao, Xianying Zhu, Junhong Xie, Ming Liang, Dajun Chen, Wei Jiang, Yong Li, and Peng Di:
    NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Minghua He, Chiming Duan, Zhaoyang Liu, Bolin Ding, and Ying Li:
    E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ludwig Felder, Tobias Eisenreich, Mahsa Fischer, Stefan Wagner, and Chunyang Chen:
    Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chandra Maddila, Negar Ghorbani, James Saindon, Parth Thakkar, Vijayaraghavan Murali, Rui Abreu, Jingyue Shen, Brian Zhou, Nachiappan Nagappan, and Peter C. Rigby:
    AI-Assisted Fixes to Code Review Comments at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sven Peldszus, Jan Rutenkolk, Marcel Heide, Jan Sollmann, Benjamin Klatt, Frank Köhne, and Thorsten Berger:
    Developer Perspectives on REST API Usability: A Study of REST API Guidelines.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Henri Aïdasso, Francis Bordeleau, and Ali Tizghadam:
    Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Paschal C. Amusuo, Dongge Liu, Ricardo Andres Calvo Mendez, Jonathan Metzman, Oliver Chang, and James C. Davis:
    Lessons from Mitigating False Positives in Google's OSS-Fuzz-Gen.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Matthew Becker, Yifei Chen, Nicholas Cochran, Pouyan Ghasemi, Abhishek Gulati, Mark Harman, Zachary Haluza, Mehrdad Honarkhah, Hervé Robert, Jiacheng Liu, Weini Liu, Sreeja Thummala, Xiaoning Yang, Rui Xin, and Sophie Zeng:
    Just-in-Time Catching Test Generation at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zhihao Li, Chaozheng Wang, Zongjie Li, Xinyong Peng, Zelin Su, Qun Xia, Haochuan Lu, Ting Xiong, Man Ho Lam, Shuzheng Gao, Yuchong Xie, Cuiyun Gao, Shuai Wang, Yuetang Deng, and Huafeng Ma:
    JSProtect: A Scalable Obfuscation Framework for Mini-Games in WeChat.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Martin Mirchev, Ridwan Shariffdeen, Haifeng Ruan, Yuntong Zhang, and Abhik Roychoudhury:
    AutoCodeRover: Agentic Program Repair for SonarQube Issues.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Shubham Ugare, Tarun Suresh, Sasa Misailovic, and Julien Vanegue:
    Fun2spec: Code Contract Synthesis At Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shuai Wang, Yinan Yu, Earl T. Barr, and Dhasarathy Parthasarathy:
    LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Paul Baker, Blanca Manu, Rebecca Moussa, and Federica Sarro:
    Industrial Deployment of an AI Multi-Agent System for Requirements-Driven Code Verification.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Muhammed Fatih Bulut, Carlo DePaolis, Raghav Batta, and Anjali Mangal:
    AVDA: Autonomous Vibe Detection Authoring for Cybersecurity.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Xiaolei Chen, Fengrui Liu, Xiao He, Tieying Zhang, Peng Wang, and Wei Wang:
    Topic-Wise Summarization of Support Ticket Dialogue via LLM.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Ronnie de Souza Santos, Ítalo Santos, Mariana P. Bento, Giuseppe Destefanis, Cleyton Magalhães, and Mairieli Wessel:
    LLM Use, Cheating, and Academic Integrity in Software Engineering Education.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mohamad Kassab and Sulav G. Shrestha:
    Persona-Conditioned LLM Interaction for Software Engineering Education (Extended Abstract).
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Robin Maisch, Larissa Schmid, Richard Glassey, Dominik Fuchß, Nils Niehues, Haoyu Liu, and Anne Koziolek:
    Criminal Minds: How First-Year CS Students Plagiarize Code.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Eman Abdullah AlOmar, David Van Hise, Stephen Pachucki, Nerissa Lundquist, and Christopher Engelbart:
    Refactoria: A Game-Based Tool for Learning Code Refactoring.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Wardah Naeem Awan and Maria Paasivaara:
    Enabling Emotion-Aware Collaboration in Capstone Projects.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Sahithya Gandu, Anurag Vemula, Satyanarayanachowdary Kadiyala, Marcia Moraes, Sudipto Ghosh, Fabio Santos, and Bianca Trinkenreich:
    How Do Students Perceive Their Teammates? A Qualitative Study of Peer Evaluation in SE Course Projects.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ke Gong and Jian Zhang:
    Experience Report: Insights from Deploying Educational Static Analysis in Introductory Programming Courses.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Isabella Graßl, Christopher Lazik, Shalini Chakraborty, Grischa Liebel, and Miguel Goulão:
    Domain Diversity, Motivation, Inclusion, and Feedback in Software Modelling Education.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Haolin Jin, Jiawen Wen, Zhaoge Bi, Linghan Huang, and Huaming Chen:
    Deliverables Are Not Understanding in the AI Era: Reforming Full-Stack Development Education with Continuous Interactive Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Mohammed Ammar Karimi, Saurabh Tiwari, and Santosh Singh Rathore:
    An Analysis of Student Perceptions and Learning Impact of Large Language Models in Requirements Engineering Education.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mohamad Kassab:
    Prompt Engineering in Software Engineering Education: An Empirical Study of Demand, Supply, and Assessment.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Huayu Liang and Chris Brown:
    Beyond Text: Understanding How Multimodal Generative AI Impacts Students Learning Software Development (Extended Abstract).
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Eduardo Miranda, Torgeir Dingsøyr, and Pritam Chita:
    A Lightweight Scrum Sprint Simulation to Help Learners Traverse the Empirical Process Control Threshold Concept.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Rumyana Neykova, Cigdem Sengul, Zear Ibrahim, Isabel Sassoon, Giuseppe Destefanis, and Alan Serrano:
    Building Production Software and Professional Competence: A Collaborative Model for AI-Integrated Software Engineering Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Thomas Overklift and Andy Zaidman:
    Pragmatic Use of Generative AI in an Introductory Programming Course (Extended Abstract).
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Pasan Peiris, Matthias Galster, Antonija Mitrovic, Sanna Malinen, Raul Vincent W. Lumapas, and Jay Holland:
    Gamifying Video-Based Training: Comparing Attitudes of Software Engineering Students and Professionals.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ewoud van Uijthoven and Mazyar Seraj:
    BlocksDeFix: Guided Debugging Hints for Young Learners in Block-Based Programming Environments.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Rafal Wlodarski:
    From Domain Understanding to Design Readiness: A Playbook for GenAI-Supported Learning in Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Marvin Wyrich, Norman Peitek, Kallistos Weis, and Sven Apel:
    Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Peng Yang, Yunfeng Zhu, Chao Chang, Shengcheng Yu, Zhenyu Chen, and Yong Tang:
    Large Language Models for Software Testing Education: An Experience Report.
    ACM International Conference on the Foundations of Software Engineering (FSE): Software Engineering Education and Training (SEET), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Hao Li, Haoxiang Zhang, and Ahmed E. Hassan:
    AIDev: Studying AI Coding Agents on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Hao He, Courtney Miller, Shyam Agarwal, Christian Kästner, and Bogdan Vasilescu:
    Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Seyedmoein Mohsenimofidi, Matthias Galster, Christoph Treude, and Sebastian Baltes:
    Context Engineering for AI Agents in Open-Source Software.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    23 cites at Semantic Scholar
    1443% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, and Preetha Chatterjee:
    Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Romain Robbes, Théo Matricon, Thomas Degueule, Andre Hora, and Stefano Zacchiroli:
    Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Shyam Agarwal, Hao He, and Bogdan Vasilescu:
    AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Tim Menzies, Tao Chen, Yulong Ye, Kishan Kumar Ganguly, Amirali Rayegan, Srinath Srinivasan, and Andre Lustosa:
    MOOT: A Repository of Many Multi-Objective Optimization Tasks.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    12 cites at Semantic Scholar
    705% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Shaokang Jiang and Daye Nam:
    Beyond the Prompt: An Empirical Study of Cursor Rules.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Daniel Ogenrwot and John Businge:
    How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, and Christoph Treude:
    On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Andre Hora and Romain Robbes:
    Are Coding Agents Generating Over-Mocked Tests? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Haoming Huang, Pongchai Jaisri, Shota Shimizu, Lingfeng Chen, Sota Nakashima, and Gema Rodríguez-Pérez:
    More Code, Less Reuse: Investigation on Code Quality and Reviewer Sentiment Towards AI-Generated Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Huiyun Peng, Antonio Zhong Qiu, Ricardo Andrés Calvo Méndez, Kelechi G. Kalu, and James C. Davis:
    How Do Agents Perform Code Optimization? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Giovanni Pinna, Jingzhi Gong, David Williams, and Federica Sarro:
    Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jingzhi Gong, Giovanni Pinna, Yixin Bian, and Jie M. Zhang:
    Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Md. Asif Haider and Thomas Zimmermann:
    Understanding Dominant Themes in Reviewing Agentic AI-Authored Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lukas Ottenhof, Daniel Penner, Abram Hindle, and Thibaud Lutellier:
    How Do Agents Refactor: An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shamse Tasnim Cynthia, Joy Krishan Das, and Banani Roy:
    Are We All Using Agents the Same Way? An Empirical Study of Core and Peripheral Developers' Use of Coding Agents.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Md. Nahidul Islam Opu, Shaowei Wang, and Shaiful Chowdhury:
    LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Razvan Mihai Popescu, David Gros, Andrei Botocan, Rahul Pandita, Prem Devanbu, and Maliheh Izadi:
    Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Hao He, Courtney Miller, Shyam Agarwal, Christian Kästner, and Bogdan Vasilescu:
    Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Seyedmoein Mohsenimofidi, Matthias Galster, Christoph Treude, and Sebastian Baltes:
    Context Engineering for AI Agents in Open-Source Software.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    23 cites at Semantic Scholar
    1443% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Romain Robbes, Théo Matricon, Thomas Degueule, Andre Hora, and Stefano Zacchiroli:
    Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shaokang Jiang and Daye Nam:
    Beyond the Prompt: An Empirical Study of Cursor Rules.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Andre Hora and Romain Robbes:
    Are Coding Agents Generating Over-Mocked Tests? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Shamse Tasnim Cynthia, Joy Krishan Das, and Banani Roy:
    Are We All Using Agents the Same Way? An Empirical Study of Core and Peripheral Developers' Use of Coding Agents.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Md. Nahidul Islam Opu, Shaowei Wang, and Shaiful Chowdhury:
    LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Razvan Mihai Popescu, David Gros, Andrei Botocan, Rahul Pandita, Prem Devanbu, and Maliheh Izadi:
    Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zushuai Zhang, Elliott Wen, and Ewan D. Tempero:
    Analyzing Dependency Distribution Changes Arising from Code Smell Interactions.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Piotr Przymus, Andreas Happe, and Jürgen Cito:
    Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Haowei Quan, Junjie Wang, Xinzhe Li, Terry Yue Zhuo, Xiao Chen, and Xiaoning Du:
    An Empirical Study of Vulnerabilities in Python Packages and Their Detection.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xiaoxin Zhou, Taher A. Ghaleb, and Safwat Hassan:
    Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Tamer Abdelaziz, Salma Alsaghir, and Karim Ali:
    Where Do Smart Contract Security Analyzers Fall Short?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marcus Emmanuel Barnes, Taher A. Ghaleb, and Safwat Hassan:
    LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sadif Ahmed, Md Nafiu Rahman, Zahin Wahab, Gias Uddin, and Rifat Shahriyar:
    Secret Leak Detection in Software Issue Reports Using LLMs: A Comprehensive Evaluation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ali Al-Kaswan, Claudio Spiess, Prem Devanbu, Arie van Deursen, and Maliheh Izadi:
    Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Khairul Alam and Banani Roy:
    Analyzing GitHub Issues and Pull Requests in Nf-Core Pipelines: Insights into Nf-Core Pipeline Repositories.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jesse Maarleveld, Giuseppe Destefanis, and Daniel Feitosa:
    Evolving Kubernetes: A Technical Debt Perspective.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shirin Pirouzkhah, Pavlína Wurzel Gonçalves, and Alberto Bacchelli:
    The Value of Effective Pull Request Description.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Neilson Carlos Leite Ramalho, Érico Augusto da Silva, Higor Amario de Souza, and Marcos Lordello Chaim:
    Mining Quantum Software Patterns in Open-Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI

Data Showcase ⌄

  1. 1
    Tim Menzies, Tao Chen, Yulong Ye, Kishan Kumar Ganguly, Amirali Rayegan, Srinath Srinivasan, and Andre Lustosa:
    MOOT: A Repository of Many Multi-Objective Optimization Tasks.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    12 cites at Semantic Scholar
    705% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Luciano Belo de Alcântara Júnior and João Eduardo Montandon:
    GivenWhenThen: A Dataset of BDD Test Scenarios Mined from Open Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ke Ping, Hamza Bin Mazhar, Yuqing Wang, Ying Song, and Mika V. Mäntylä:
    AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice System.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Mikel Robredo, Matteo Esposito, Davide Taibi, Rafael Peñaloza, and Valentina Lenarduzzi:
    SQuaD: The Software Quality Dataset.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Giuseppe Destefanis, Silvia Bartolucci, and Daniel Feitosa:
    Mining Kubernetes Repositories: The Cloud Was Not Built in a Day.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Andre Hora:
    GitEvo: Code Evolution Analysis for Git Repositories.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Elena Masserini, Diego Clerissi, Daniela Micucci, and Leonardo Mariani:
    Assessing Task-Based Chatbots: Snapshot and Curated Datasets for Dialogflow.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Maxime André, Marco Raglianti, Souhaila Serbout, Anthony Cleve, and Michele Lanza:
    PoolinGH: Fast, Efficient, and Robust GitHub Repository Mining.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Md. Rakibul Islam, Farha Kamal, Md Humaun Kabir, and Md Murad Sharif:
    DBSecQA: A Curated Dataset of Developer Discussions on Database Security from Stack Exchange.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhengjie Ji, Xin Wang, Lingxiang Wang, Geng Li, Fan Yang, and Ying Zhang:
    RustXec: A Vulnerability Reproduction Dataset for Assessing Security Risks in Open-Source Rust Applications.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Faiz Marsad and Nimmi Weeraddana:
    OSSGameBench: A Large-Scale Dataset of Development Activities in Open-Source Video Games.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Benny Toeppe, Amine Barrak, and Emna Ksontini:
    A Large-Scale Dataset of MCP Implementations on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Joyce Champie, Karim Elish, and Mahmoud Elish:
    SMELLDroid: A Dataset for Code Smells in Android Apps.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Mashiat Amin Farin, Samer Hassan, and Javier Arroyo:
    Mapping Decentralized Autonomous Organization Governance Across Chains: An Updated, Multi-Platform Dataset.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Heitor Roriz Filho, Nasser Jazdi-Motlagh, and Vicente Ferreira de Lucena Jr.:
    Skyt: Prompt Contracts for Software Repeatability in LLM-Assisted Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Matteo Grella, Danil Aliforenko, and Luca Mariot:
    KubeObjects: A Dataset of Real-World Kubernetes Objects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sjoerd Halmans, Lavínia Paganini, Alexander Serebrenik, and Alexander Nolte:
    HackRep: A Large-Scale Dataset of GitHub Hackathon Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kaushal Kahapola, Sharada Galappaththi, Dinith Ranasinghe, Ridwan Shariffdeen, Nisansa de Silva, Srinath Perera, and Sandareka Wickramanayake:
    JavaBackports: A Dataset for Benchmarking Automated Backporting in Java.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Brahim Mahmoudi, Zacharie Chenail-Larcher, Houcine Abdelkader Cherief, Quentin Stiévenart, Naouel Moha, and Florent Avellaneda:
    GLiSE: A Prompt-Driven and ML-Powered Tool for Automated Grey Literature Extraction in Software Engineering.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Julien Malka and Arnout Engelen:
    LILA: Decentralized Build Reproducibility Monitoring for the Functional Package Management Model.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Krzysztof Kaczmarski, Jakub Narebski, and Piotr Przymus:
    Underutilization in Research GPU Clusters: SE Challenges.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Industry, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Gunnar Kudrjavets, Aditya Kumar, and Piotr Przymus:
    Can Data Mining Help to Survive the Annual Compiler Upgrade?
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Industry, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ailon dos Santos Teixeira, Jaine Brito da Silva da Silva, Nikolas Rocha da Silva de Medeiros, Raimundo da Silva Barreto, José Reginaldo Hughes da Silva Carvalho, and Alex Fernando da Silva Monteiro:
    A Blueprint for Trustworthy Code Annotation at Scale: An LLM-Powered Pipeline for Industrial Software Analytics.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Industry, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Mining Challenge ⌄

  1. 1
    Hao Li, Haoxiang Zhang, and Ahmed E. Hassan:
    AIDev: Studying AI Coding Agents on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    26 cites at Semantic Scholar
    1644% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, and Preetha Chatterjee:
    Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    15 cites at Semantic Scholar
    906% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Shyam Agarwal, Hao He, and Bogdan Vasilescu:
    AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    13 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Daniel Ogenrwot and John Businge:
    How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    9 cites at Semantic Scholar
    504% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, and Christoph Treude:
    On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Haoming Huang, Pongchai Jaisri, Shota Shimizu, Lingfeng Chen, Sota Nakashima, and Gema Rodríguez-Pérez:
    More Code, Less Reuse: Investigation on Code Quality and Reviewer Sentiment Towards AI-Generated Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Huiyun Peng, Antonio Zhong Qiu, Ricardo Andrés Calvo Méndez, Kelechi G. Kalu, and James C. Davis:
    How Do Agents Perform Code Optimization? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Giovanni Pinna, Jingzhi Gong, David Williams, and Federica Sarro:
    Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jingzhi Gong, Giovanni Pinna, Yixin Bian, and Jie M. Zhang:
    Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Md. Asif Haider and Thomas Zimmermann:
    Understanding Dominant Themes in Reviewing Agentic AI-Authored Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Lukas Ottenhof, Daniel Penner, Abram Hindle, and Thibaud Lutellier:
    How Do Agents Refactor: An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Taher A. Ghaleb:
    Fingerprinting AI Coding Agents on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Roberto Milanese, Francesco Salzano, Angelica Spina, Antonio Vitale, Remo Pareschi, Fausto Fasano, and Mattia Fazzini:
    Human-Agent Versus Human Pull Requests: A Testing-Focused Characterization and Comparison.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Dao Sy Duy Minh, Huynh Trung Kiet, Nguyen Lam Phu Quy, Pham Phu Hoa, Tran Chi Nguyen, Nguyen Dinh Ha Duong, and Truong Bao Tran:
    Early-Stage Prediction of Review Effort in AI-Generated Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Kan Watanabe, Tatsuya Shirai, Yutaro Kashiwa, and Hajimu Iida:
    What to Cut? Predicting Unnecessary Methods in Agentic Code Generation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Syed Ammar Asdaque, Imran Haider, Muhammad Umar Malik, Maryam Abdul Ghafoor, and Abdul Ali Bangash:
    Novice Developers Produce Larger Review Overhead for Project Maintainers While Vibe Coding.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Kowshik Chowdhury, Dipayan Banik, K. M. Ferdous, and Shazibul Islam Shamim:
    From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Taher A. Ghaleb:
    When AI Agents Touch CI/CD Configurations: Frequency and Success.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Sien Reeve Ordonez Peralta, Fumika Hoshi, Hironori Washizaki, Naoyasu Ubayashi, Inase Kondo, Yoshiki Higo, Hiroki Mukai, Norihiro Yoshida, Kazuki Kusama, Hidetake Tanaka, and Youmei Fan:
    Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Dung Pham and Taher Ahmed Ghaleb:
    Code Change Characteristics and Description Alignment: A Comparative Study of Agentic Versus Human Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Lev Sorokin, Ivan Vasilev, Ken E. Friedl, and Andrea Stocco:
    STELLAR: A Search-Based Testing Framework for Large Language Model Applications.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuqing Niu, Jieke Shi, Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, and David Lo:
    What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Simin Sun and Miroslaw Staron:
    Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ehsan Firouzi and Mohammad Ghafari:
    Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Robert Arntzenius, Xutong Liu, and Andy Zaidman:
    On the Energy Consumption of Continuous Integration in Open-Source Java Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Antonio Della Porta, Gianmario Voria, Andrea Abbate, Raffaele Sulipano, Stefano Lambiase, Gemma Catolino, and Fabio Palomba:
    Toward Measuring Prompt Quality: A Preliminary Investigation on Prompt Smells.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Matteo Vaccargiu, Azmat Ullah, and Pierluigi Gallo:
    A Blockchain-Oriented Software Engineering Architecture for Carbon Credit Certification Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Khairul Alam and Banani Roy:
    What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Guillaume Cardoen, Tom Mens, and Alexandre Decan:
    An Empirical Analysis of Code Clones in GitHub Actions Workflows.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yajia Lin, Jie Su, Cheng Wen, Rong Wang, Cong Tian, Zhenhua Dun, and Shengchao Qin:
    How Well Does Knowledge Injection Enhance LLM-Aided Formal Protocol Modeling?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Abdoul Kader Kaboré, Jacques Klein, and Tegawendé F. Bissyandé:
    Programming Language Confusion: When Code LLMs Can't Keep Their Languages Straight.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Qiaolin Qin, Jianchen Zhao, Heng Li, Weiyi Shang, and Ettore Merlo:
    A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry, Masanari Kondo, Makoto Matsushita, Yasutaka Kamei, and Yoshiki Higo:
    Leveraging Mutation Analysis for LLM-Based Repair of Quantum Programs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Ehsan Firouzi, Shardul Bhatt, and Mohammad Ghafari:
    Can Developers Rely on LLMs for Secure IaC Development?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Ioan-Daniel Pop and Bogdan Iudean:
    AI-Assisted Diagnosis of Students' Misconceptions on Memory Allocation and Dynamic Data Structures in C++.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Farnaz Soltaniani, Shoaib Razzaq, and Mohammad Ghafari:
    Evaluating Large Language Models for Security Bug Report Prediction.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sara Baradaran, Liyan Huang, Mukund Raghothaman, and Weihang Wang:
    Reusing Legacy Code in Wasm: Key Challenges of Compilation and Code Semantics Preservation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Alexander Berndt, Vekil Bekmyradov, Rainer Gemulla, Marcus Kessel, Thomas Bach, and Sebastian Baltes:
    Can We Classify Flaky Tests Using Only Test Code? An LLM-Based Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Elena Bruches, Daniil Grebenkin, Mikhail Klementev, Vadim Alperovich, Roman Derunets, Dari Baturova, Georgy Mkrtchyan, Oleg Sedukhin, Ivan Bondarenko, Nikolay Bushkov, and Stanislav Moiseev:
    RM -RF: Reward Model for Run-Free Unit Test Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Bethel Hall, Owen Ungaro, and William Eiers:
    CloudFix: Automated Policy Repair for Cloud Access Control Policies Using Large Language Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Lev Sorokin, Ivan Vasilev, Ken E. Friedl, and Andrea Stocco:
    STELLAR: A Search-Based Testing Framework for Large Language Model Applications.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    10 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuqing Niu, Jieke Shi, Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, and David Lo:
    What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    6 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Simin Sun and Miroslaw Staron:
    Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Khairul Alam and Banani Roy:
    What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Guillaume Cardoen, Tom Mens, and Alexandre Decan:
    An Empirical Analysis of Code Clones in GitHub Actions Workflows.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yajia Lin, Jie Su, Cheng Wen, Rong Wang, Cong Tian, Zhenhua Dun, and Shengchao Qin:
    How Well Does Knowledge Injection Enhance LLM-Aided Formal Protocol Modeling?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Abdoul Kader Kaboré, Jacques Klein, and Tegawendé F. Bissyandé:
    Programming Language Confusion: When Code LLMs Can't Keep Their Languages Straight.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Qiaolin Qin, Jianchen Zhao, Heng Li, Weiyi Shang, and Ettore Merlo:
    A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry, Masanari Kondo, Makoto Matsushita, Yasutaka Kamei, and Yoshiki Higo:
    Leveraging Mutation Analysis for LLM-Based Repair of Quantum Programs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sara Baradaran, Liyan Huang, Mukund Raghothaman, and Weihang Wang:
    Reusing Legacy Code in Wasm: Key Challenges of Compilation and Code Semantics Preservation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Alexander Berndt, Vekil Bekmyradov, Rainer Gemulla, Marcus Kessel, Thomas Bach, and Sebastian Baltes:
    Can We Classify Flaky Tests Using Only Test Code? An LLM-Based Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Elena Bruches, Daniil Grebenkin, Mikhail Klementev, Vadim Alperovich, Roman Derunets, Dari Baturova, Georgy Mkrtchyan, Oleg Sedukhin, Ivan Bondarenko, Nikolay Bushkov, and Stanislav Moiseev:
    RM -RF: Reward Model for Run-Free Unit Test Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Bethel Hall, Owen Ungaro, and William Eiers:
    CloudFix: Automated Policy Repair for Cloud Access Control Policies Using Large Language Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Junjie Huang, Cheng Wen, Jie Su, Zhiwu Xu, Bin Yu, Shengchao Qin, and Cong Tian:
    Preserving Concurrency-Revealing Seeds in Fuzzing of Concurrent Programs via Tuple-Based Coverage Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Marcus Kessel:
    Towards Observation Lakehouses: Living, Interactive Archives of Software Behavior.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Parham Khamsepour, Mark Cole, Ish Ashraf, Sandeep Puri, Mehrdad Sabetzadeh, and Shiva Nejati:
    Question Answering for Multi-Release Systems: A Case Study at Ciena.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Viktor Kjellberg, Miroslaw Staron, and Farnaz Fotrousi:
    From LLMS to Agents in Programming: The Impact of Providing an LLM with a Compiler.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Christian Macho, Katharina Stengg, and Martin Pinzger:
    Agent-Based Dependency-Related Build Repair.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Hoang Vinh-Phong Nguyen, Anh M. T. Bui, and Phuong T. Nguyen:
    Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jukka Ruohonen, Krzysztof Sierszecki, and Abhishek Tiwari:
    A Measurement Study on the Adoption of Pledges and Unveils in the OpenBSD Operating System.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Ehsan Firouzi and Mohammad Ghafari:
    Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Robert Arntzenius, Xutong Liu, and Andy Zaidman:
    On the Energy Consumption of Continuous Integration in Open-Source Java Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Antonio Della Porta, Gianmario Voria, Andrea Abbate, Raffaele Sulipano, Stefano Lambiase, Gemma Catolino, and Fabio Palomba:
    Toward Measuring Prompt Quality: A Preliminary Investigation on Prompt Smells.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Matteo Vaccargiu, Azmat Ullah, and Pierluigi Gallo:
    A Blockchain-Oriented Software Engineering Architecture for Carbon Credit Certification Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ehsan Firouzi, Shardul Bhatt, and Mohammad Ghafari:
    Can Developers Rely on LLMs for Secure IaC Development?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ioan-Daniel Pop and Bogdan Iudean:
    AI-Assisted Diagnosis of Students' Misconceptions on Memory Allocation and Dynamic Data Structures in C++.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Farnaz Soltaniani, Shoaib Razzaq, and Mohammad Ghafari:
    Evaluating Large Language Models for Security Bug Report Prediction.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    André Brandão, Diogo Matos, Miguel Guimarães, Simão Cunha, and João Saraiva:
    The Green Side of the Lua.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Alejandra Duque-Torres, Stefan Fischer, and Claus Klammer:
    Metamorphic Testing for Sequential Prediction Models: A Survey of LSTMs and LLMs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Cal Önal, Indika Kumara, Filippo Scaramuzza, and Marco Tonnarelli:
    Policy-as-Code in the Wild: A Taxonomy and Dataset for Open Policy Agent from Github.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Sanskar Shah, Sangharatna Godboley, and P. Radha Krishna:
    QGMR: A New Quantum Mutation Testing Operator.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Alessandro Aneggi, Xiaozhou Li, and Andrea Janes:
    PPTAMη: Energy Aware CI/CD Pipeline for Container Based Applications.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Rima Ayusinta, Rodi Jolak, and Raja Khurram Shahzad:
    Broken Access Control Risks in Open Source Javascript Projects: A Security Analysis.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Elena Ballesteros-Morallón, Félix García, María Gutiérrez, María Ángeles Moraga, and Coral Calero:
    GREENN: Granular Evaluation of Energy Efficiency in Neural Networks.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sara Baradaran and Mukund Raghothaman:
    Effective Minimization of Failure-Inducing Tests Using Convention-Aware Slicing.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Elena Bruches, Vadim Alperovich, Dari Baturova, Roman Derunets, Daniil Grebenkin, Georgy Mkrtchyan, Oleg Sedukhin, Mikhail Klementev, Ivan Bondarenko, Nikolay Bushkov, and Stanislav Moiseev:
    TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Selin Çoban, Miguel Perez, Çagatay Akpinar, Baran Tanriverdi, and Horst Lichter:
    An LLM-Based Approach for Automatic ML Prototype Review.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Faith Culas, Priyanka Dhopade, and Kelly Blincoe:
    Designing Think-Aloud Studies to Identify Cognitive Biases in Software Engineering Tools: An Experience Report.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Carmelo Felicetti, Fulvia Michela Caligiuri, Erika De Francesco, and Domenico Saccà:
    A DLT-Based Framework for Traceability and Certification in Sustainable Agri-Tourism: A Case Study in a Southern Italy Region.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Paolo Ferragina and Francesco Tosoni:
    The Energy-Throughput Trade-Off in Lossless-Compressed Source Code Storage.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Sabaat Haroon, Ahmad Faraz Khan, Ahmad Humayun, Waris Gill, Abdul Haddi Amjad, Ali Raza Butt, Mohammad Taha Khan, and Muhammad Ali Gulzar:
    Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    7 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Kasun Kanaththage, Luigi Libero Lucio Starace, Matteo Biagiola, Paolo Tonella, and Andrea Stocco:
    Neural Embeddings for Web Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Kuangxiangzi Liu, Alexander Liggesmeyer, Dhiman Chakraborty, and Andreas Zeller:
    Synthesizing Precise Protocol Specs from Natural Language for Effective Test Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Michael Konstantinou, Renzo Degiovanni, and Mike Papadakis:
    How Well LLM-Based Test Generation Techniques Perform with Newer LLM Versions?
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Pablo Valle, Sergio Segura, Shaukat Ali, and Aitor Arrieta:
    Metamorphic Testing of Vision-Language Action-Enabled Robots.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    4 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Prakash Aryan, Christian Birchler, Tommaso Fulcini, Luigi Libero Lucio Starace, and Sebastiano Panichella:
    ICST Tool Competition 2026 - SDC Testing Track.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Mojtaba Eshghie, Melissa Mazura, and Alexandre Bartel:
    RAVEN: Mining Defensive Patterns in Ethereum via Semantic Transaction Revert Invariants Categories.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Hamed Taherkhani, Alireza DaghighFarsoodeh, Mohammad Chowdhury, Hung Viet Pham, and Hadi Hemmati:
    Consistency Meets Verification: Enhancing Test Generation Quality in Large Language Models Without Ground-Truth Solutions.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Erdem Uysal, Gregory Loubet-Bonino, Ali Javadi, Prakash Aryan, Aren A. Babikian, Dmytro Humeniuk, Sajad Khatiri, and Sebastiano Panichella:
    ICST Tool Competition 2026 - UAV Testing Track.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Betupsilonl Karagöz, Filippo Ricca, Matteo Biagiola, and Andrea Stocco:
    Towards Automated Page Object Generation for Web Testing Using Large Language Models.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Maryam, Matteo Biagiola, Paolo Tonella, and Vincenzo Riccio:
    DeepNaqqal: Human-Aligned Automated Validation of Test Inputs for Deep Learning.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Agustín Balestra, Agustín Nolasco, Facundo Molina, Diego Garbervetsky, Renzo Degiovanni, and Nazareno Aguirre:
    Improving Dynamic Specification Inference with LLM-Generated Counterexamples.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Avner Bensoussan, Elena Chachkarova, Karine Even-Mendoza, Sophie Fortz, Vasileios Klimis, and Mohammad Reza Mousavi:
    Toward Live Noise Fingerprinting for Discrepancy Analysis in Quantum Software Engineering.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Lucas Berg, Lukas Krodinger, Stephan Lukasczyk, Annibale Panichella, Gordon Fraser, Wim Vanhoof, and Xavier Devroey:
    Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Leon Bettscheider, Marius Smytzek, and Andreas Zeller:
    Combining Input Constraints with Execution Goals.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Davide Corradini, Seung Yeob Shin, and Domenico Bianculli:
    Automated REST API Black-Box Test Generation in Practice: An Experience Report from Industry.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Islam T. Elgendy, Robert M. Hierons, and Phil McMinn:
    How Effective Are Coverage- and Diversity-Based Test Selection at Killing Stubborn Mutants?
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zaid Ghazal, Hadiza Umar Yusuf, and Khouloud Gaaloul:
    Towards Counterfactual Explanation and Assertion Inference for CPS Debugging.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, and Foutse Khomh:
    Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Maximilian Jungwirth, Martin Gruber, and Gordon Fraser:
    Predictive Pull Request Batching to Accelerate Merge Pipelines in Continuous Integration at Scale.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, and Gabriele Bavota:
    Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Alessandro Midolo, Alessandro Giagnorio, Fiorella Zampetti, Rosalia Tufano, Gabriele Bavota, and Massimiliano Di Penta:
    Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yaoxuan Wu, Xiaojie Zhou, Ahmad Humayun, Muhammad Ali Gulzar, and Miryung Kim:
    PALM: Path-Aware LLM-Based Test Generation with Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shivadharshan S, Akilesh P, Rajrupa Chattaraj, and Sridhar Chimalakonda:
    CPPJoules: An Energy Measurement Tool for C++.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Alex Chudic and Gül Çalikli:
    Automated Test Suite Enhancement Using Large Language Models with Few-Shot Prompting.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Sára Juhosová, Andy Zaidman, and Jesper Cockx:
    The Way of Types: A Report on Developer Experience with Type-Driven Development.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Kyle D. Chin and Reid Holmes:
    Put The "Code" Back in "Code Comprehension Study".
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Asif Mohammed Samir and Mohammad Masudur Rahman:
    Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Huan Zhang, Wei Cheng, and Wei Hu:
    Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Tarek Alakmeh, Norman Anderson, Victoria Jackson, Guilherme Vaz Pereira, Umit Akirmak, Anthony Estey, Rafael Prikladnicki, André van der Hoek, Margaret-Anne D. Storey, and Thomas Fritz:
    Grasping AI Reliance in Program Comprehension and Coding Through the AIRELI Persona Taxonomy.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Siyi Chen, Tianhan Luo, Shijian Wu, Xiangyu Liu, Yilin Zhou, Qi Li, and Wenyuan Xu:
    A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Jie Gao, Yue Xue, Xiaofei Xie, Junming Cao, SoeMin Thant, Erika Lee, and Bowen Xu:
    Understanding Codebase Like a Professional! Human-AI Collaboration for Code Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yunkun Wang, Xuanhe Zhang, Junxiao Han, Chen Zhi, and Shuiguang Deng:
    CodeGlance: Understanding Code Reasoning Challenges in LLMs Through Multi-Dimensional Feature Analysis.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Lei Yu, Peng Wang, Jingyuan Zhang, Xin Wang, Jia Xu, Li Yang, Changzhi Deng, Jiajia Ma, and Fengjun Zhang:
    SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Louay Khrouf, Anas Shatnawi, and Romain Rouvoy:
    Can We Spot Energy Regressions Using Developers' Tests? An Industrial Replication.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Larisa Safina:
    Hyalinos: From Type Inference to Community Knowledge.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Thiago Roberto Magalhães and João Eduardo Montandon:
    Understanding Type Hints in Python Libraries and Frameworks: Early Insights.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Nils Alznauer, Norman Peitek, Youssef Abdelsalam, Annabelle Bergum, Marvin Wyrich, and Sven Apel:
    Eye-Tracking Insights into the Effects of Type Annotations and Identifier Naming.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Ali Aman, Muhammad Asaduzzaman, and Shaowei Wang:
    Typify: A Lightweight Usage-Driven Static Analyzer for Precise Python Type Inference.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Liuwen Cao, Jiaxi Liang, Jiexin Wang, and Yi Cai:
    A Code Ranking Framework with Human-Inspired Agent-Based Tests Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, and Gabriele Bavota:
    Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Alessandro Midolo, Alessandro Giagnorio, Fiorella Zampetti, Rosalia Tufano, Gabriele Bavota, and Massimiliano Di Penta:
    Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yaoxuan Wu, Xiaojie Zhou, Ahmad Humayun, Muhammad Ali Gulzar, and Miryung Kim:
    PALM: Path-Aware LLM-Based Test Generation with Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Alex Chudic and Gül Çalikli:
    Automated Test Suite Enhancement Using Large Language Models with Few-Shot Prompting.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Sára Juhosová, Andy Zaidman, and Jesper Cockx:
    The Way of Types: A Report on Developer Experience with Type-Driven Development.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    3 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Kyle D. Chin and Reid Holmes:
    Put The "Code" Back in "Code Comprehension Study".
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Asif Mohammed Samir and Mohammad Masudur Rahman:
    Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Huan Zhang, Wei Cheng, and Wei Hu:
    Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    2 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Tarek Alakmeh, Norman Anderson, Victoria Jackson, Guilherme Vaz Pereira, Umit Akirmak, Anthony Estey, Rafael Prikladnicki, André van der Hoek, Margaret-Anne D. Storey, and Thomas Fritz:
    Grasping AI Reliance in Program Comprehension and Coding Through the AIRELI Persona Taxonomy.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Siyi Chen, Tianhan Luo, Shijian Wu, Xiangyu Liu, Yilin Zhou, Qi Li, and Wenyuan Xu:
    A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jie Gao, Yue Xue, Xiaofei Xie, Junming Cao, SoeMin Thant, Erika Lee, and Bowen Xu:
    Understanding Codebase Like a Professional! Human-AI Collaboration for Code Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yunkun Wang, Xuanhe Zhang, Junxiao Han, Chen Zhi, and Shuiguang Deng:
    CodeGlance: Understanding Code Reasoning Challenges in LLMs Through Multi-Dimensional Feature Analysis.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lei Yu, Peng Wang, Jingyuan Zhang, Xin Wang, Jia Xu, Li Yang, Changzhi Deng, Jiajia Ma, and Fengjun Zhang:
    SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Nils Alznauer, Norman Peitek, Youssef Abdelsalam, Annabelle Bergum, Marvin Wyrich, and Sven Apel:
    Eye-Tracking Insights into the Effects of Type Annotations and Identifier Naming.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Ali Aman, Muhammad Asaduzzaman, and Shaowei Wang:
    Typify: A Lightweight Usage-Driven Static Analyzer for Precise Python Type Inference.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Liuwen Cao, Jiaxi Liang, Jiexin Wang, and Yi Cai:
    A Code Ranking Framework with Human-Inspired Agent-Based Tests Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Giuseppe Crupi, Rosalia Tufano, and Gabriele Bavota:
    Studying Quality Improvements Recommended via Manual and Automated Code Review.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shahriar Rumi Dipto, Saikat Mondal, and Chanchal K. Roy:
    Algorithm-Based Pipeline for Reliable and Intent-Preserving Code Translation with LLMs.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Steffen Enders, Eva-Maria C. Behner, and Elmar Padilla:
    To GOTO or Not to GOTO: Measuring Structural Complexity of (Decompiled) Code.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Dongyi Fan, Suqiong Zhang, Lili He, Ming Liu, and Yifan Huo:
    SCOPE: Tree-Based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Shivadharshan S, Akilesh P, Rajrupa Chattaraj, and Sridhar Chimalakonda:
    CPPJoules: An Energy Measurement Tool for C++.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    5 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Larisa Safina:
    Hyalinos: From Type Inference to Community Knowledge.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Roman Bögli, Jonas Spieler, and Timo Kehrer:
    BF-CBOM: Uncovering Cryptographic Assets Through Comparative CBOM Analysis at Scale.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Satish Pati, Raghavendra Pappu, Rahul Krishna Gaddam, and Sridhar Chimalakonda:
    COBMaker - An Interactive Block-Based Programming Environment for COBOL.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ajinkya Sawarkar, Anirudh Arrepu, and Sridhar Chimalakonda:
    CrossLink: A Tool for Cross-Language (Java-C/C++) Code Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Chia-Yi Su and Collin McMillan:
    CMind: An AI Agent for Localizing C Memory Bugs.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Early Research Achievements (ERA) ⌄

  1. 1
    Thiago Roberto Magalhães and João Eduardo Montandon:
    Understanding Type Hints in Python Libraries and Frameworks: Early Insights.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Andre Hora and Andy Zaidman:
    Test Behaviors, Not Methods! Detecting Tests Obsessed by Methods.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yahya Lafhal, Zohreh Sharafi, and Mahta Amini:
    Attention to Innovation: Linking Developer Gaze and Coding Approaches.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Taythir G. Martin, Rodion Podorozhny, and Shibbir Ahmed:
    Precise LLM-Based Semantic Slicing for Deadlock Detection in Concurrent Java Programs.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Pablo Valenzuela-Toledo, Timo Kehrer, and Sebastiano Panichella:
    Understanding CI/CD Workflow Runs Through Interactive and Animated Visualizations.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Replications and Negative Results (RENE) ⌄

  1. 1
    Louay Khrouf, Anas Shatnawi, and Romain Rouvoy:
    Can We Spot Energy Regressions Using Developers' Tests? An Industrial Replication.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    1 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Juan Pablo Sandoval Alcocer, Dussan Freire-Pozo, Tiara Rojas-Stambuk, Alison Fernandez-Blanco, and Leonel Merino:
    Evaluating the Use of Augmented Reality for Dependency Graph Analysis: A Controlled Experiment.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Maria Camporese, Fabio Massacci, and Yuanjun Gong:
    LLMs for Qualitative Data Analysis Fail on Security-Specific Comments in Human Experiments.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nicolas Hrubec and Jürgen Cito:
    Reducing Token Usage of State-in-Context Agents Using Minification.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lamyea Maha, Tajmilur Rahman, and Chanchal Roy:
    Agile Story-Point Estimation: Is RAG a Better Way to Go?
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Hilal Taha, Mike Papadakis, and Joel Muller:
    Industrial Replication of COLOR: Locator Repair in Continuous Integration and Failure Patterns Under UI/DOM Evolution.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2026
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2025 normalized by age ⌄

  1. 1
    Islem Bouzenia, Premkumar T. Devanbu, and Michael Pradel:
    RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.
    International Conference on Software Engineering (ICSE), 2025
    438 cites at Semantic Scholar
    6386% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, and Yizheng Chen:
    Vulnerability Detection with Code Language Models: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    313 cites at Semantic Scholar
    4535% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang:
    Demystifying LLM-Based Software Engineering Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    248 cites at Semantic Scholar
    3572% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, and Zibin Zheng:
    LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    218 cites at Semantic Scholar
    3128% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, and Xin Xia:
    Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    145 cites at Semantic Scholar
    2047% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, and Mayur Naik:
    Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    141 cites at Semantic Scholar
    1988% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, and Yang Liu:
    Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Haifeng Ruan, Yuntong Zhang, and Abhik Roychoudhury:
    SpecRover: Code Intent Extraction via LLMs.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, and Lei Bu:
    SpecGen: Automated Generation of Formal Program Specifications via Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    102 cites at Semantic Scholar
    1410% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Toufique Ahmed, Premkumar T. Devanbu, Christoph Treude, and Michael Pradel:
    Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    101 cites at Semantic Scholar
    1396% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Juan Altmayer Pizzorno and Emery D. Berger:
    CoverUp: Effective High Coverage Test Generation for Python.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    98 cites at Semantic Scholar
    1351% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, and Xin Xia:
    Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, and Toufique Ahmed:
    Calibration and Correctness of Language Models for Code.
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Islem Bouzenia and Michael Pradel:
    Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    81 cites at Semantic Scholar
    1099% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Islem Bouzenia and Michael Pradel:
    You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    79 cites at Semantic Scholar
    1070% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Soneya Binta Hossain and Matthew B. Dwyer:
    TOGLL: Correct and Strong Test Oracle Generation with LLMS.
    International Conference on Software Engineering (ICSE), 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, and Yongbin Li:
    Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, and Ming Wu:
    Human-In-The-Loop Software Development Agents.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    77 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shuzheng Gao, Cuiyun Gao, Wenchao Gu, and Michael R. Lyu:
    Search-Based LLMs for Code Optimization.
    International Conference on Software Engineering (ICSE), 2025
    🏆 Distinguished Paper
    73 cites at Semantic Scholar
    981% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, and Zibin Zheng:
    RLCoder: Reinforcement Learning for Repository-Level Code Completion.
    International Conference on Software Engineering (ICSE), 2025
    66 cites at Semantic Scholar
    877% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Islem Bouzenia, Premkumar T. Devanbu, and Michael Pradel:
    RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.
    International Conference on Software Engineering (ICSE), 2025
    438 cites at Semantic Scholar
    6386% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, and Yizheng Chen:
    Vulnerability Detection with Code Language Models: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    313 cites at Semantic Scholar
    4535% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, and Yang Liu:
    Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Haifeng Ruan, Yuntong Zhang, and Abhik Roychoudhury:
    SpecRover: Code Intent Extraction via LLMs.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, and Lei Bu:
    SpecGen: Automated Generation of Formal Program Specifications via Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    102 cites at Semantic Scholar
    1410% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, and Xin Xia:
    Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, and Toufique Ahmed:
    Calibration and Correctness of Language Models for Code.
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Soneya Binta Hossain and Matthew B. Dwyer:
    TOGLL: Correct and Strong Test Oracle Generation with LLMS.
    International Conference on Software Engineering (ICSE), 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, and Ming Wu:
    Human-In-The-Loop Software Development Agents.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    77 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shuzheng Gao, Cuiyun Gao, Wenchao Gu, and Michael R. Lyu:
    Search-Based LLMs for Code Optimization.
    International Conference on Software Engineering (ICSE), 2025
    🏆 Distinguished Paper
    73 cites at Semantic Scholar
    981% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, and Zibin Zheng:
    RLCoder: Reinforcement Learning for Repository-Level Code Completion.
    International Conference on Software Engineering (ICSE), 2025
    66 cites at Semantic Scholar
    877% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Umut Cihan, Vahid Haratian, Arda Içöz, Mert Kaan Gül, Ömercan Devran, Emircan Furkan Bayendur, Baykal Mehmet Uçar, and Eray Tüzün:
    Automated Code Review in Practice.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    59 cites at Semantic Scholar
    774% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, and Satish Chandra:
    Evaluating Agent-Based Program Repair at Google.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    56 cites at Semantic Scholar
    729% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yuling Shi, Hongyu Zhang, Chengcheng Wan, and Xiaodong Gu:
    Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers.
    International Conference on Software Engineering (ICSE), 2025
    55 cites at Semantic Scholar
    714% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, and Xin Peng:
    LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion.
    International Conference on Software Engineering (ICSE), 2025
    54 cites at Semantic Scholar
    700% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Feng Lin, Dong Jae Kim, and Tse-Hsun Chen:
    SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents.
    International Conference on Software Engineering (ICSE), 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Kyle Thompson, Nuno Saavedra, Pedro Carrott, Kevin Fisher, Alex Sanchez-Stern, Yuriy Brun, João F. Ferreira, Sorin Lerner, and Emily First:
    Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification.
    International Conference on Software Engineering (ICSE), 2025
    🏆 Distinguished Paper
    48 cites at Semantic Scholar
    611% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zifan Nan, Zhaoqiang Guo, Kui Liu, and Xin Xia:
    Test Intention Guided LLM-Based Unit Test Generation.
    International Conference on Software Engineering (ICSE), 2025
    47 cites at Semantic Scholar
    596% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Rodrigo Pedro, Miguel E. Coimbra, Daniel Castro, Paulo Carreira, and Nuno Santos:
    Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses.
    International Conference on Software Engineering (ICSE), 2025
    47 cites at Semantic Scholar
    596% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, and Zhenyu Chen:
    Source Code Summarization in the Era of Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    45 cites at OpenAlex
    566% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Islem Bouzenia, Premkumar T. Devanbu, and Michael Pradel:
    RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.
    International Conference on Software Engineering (ICSE), 2025
    438 cites at Semantic Scholar
    6386% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, and Yizheng Chen:
    Vulnerability Detection with Code Language Models: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    313 cites at Semantic Scholar
    4535% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, and Yang Liu:
    Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Haifeng Ruan, Yuntong Zhang, and Abhik Roychoudhury:
    SpecRover: Code Intent Extraction via LLMs.
    International Conference on Software Engineering (ICSE), 2025
    126 cites at Semantic Scholar
    1766% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, and Lei Bu:
    SpecGen: Automated Generation of Formal Program Specifications via Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    102 cites at Semantic Scholar
    1410% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, and Xin Xia:
    Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, and Toufique Ahmed:
    Calibration and Correctness of Language Models for Code.
    International Conference on Software Engineering (ICSE), 2025
    89 cites at Semantic Scholar
    1218% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Soneya Binta Hossain and Matthew B. Dwyer:
    TOGLL: Correct and Strong Test Oracle Generation with LLMS.
    International Conference on Software Engineering (ICSE), 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Shuzheng Gao, Cuiyun Gao, Wenchao Gu, and Michael R. Lyu:
    Search-Based LLMs for Code Optimization.
    International Conference on Software Engineering (ICSE), 2025
    🏆 Distinguished Paper
    73 cites at Semantic Scholar
    981% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, and Zibin Zheng:
    RLCoder: Reinforcement Learning for Repository-Level Code Completion.
    International Conference on Software Engineering (ICSE), 2025
    66 cites at Semantic Scholar
    877% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yuling Shi, Hongyu Zhang, Chengcheng Wan, and Xiaodong Gu:
    Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers.
    International Conference on Software Engineering (ICSE), 2025
    55 cites at Semantic Scholar
    714% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, and Xin Peng:
    LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion.
    International Conference on Software Engineering (ICSE), 2025
    54 cites at Semantic Scholar
    700% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Feng Lin, Dong Jae Kim, and Tse-Hsun Chen:
    SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents.
    International Conference on Software Engineering (ICSE), 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Kyle Thompson, Nuno Saavedra, Pedro Carrott, Kevin Fisher, Alex Sanchez-Stern, Yuriy Brun, João F. Ferreira, Sorin Lerner, and Emily First:
    Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification.
    International Conference on Software Engineering (ICSE), 2025
    🏆 Distinguished Paper
    48 cites at Semantic Scholar
    611% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zifan Nan, Zhaoqiang Guo, Kui Liu, and Xin Xia:
    Test Intention Guided LLM-Based Unit Test Generation.
    International Conference on Software Engineering (ICSE), 2025
    47 cites at Semantic Scholar
    596% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Rodrigo Pedro, Miguel E. Coimbra, Daniel Castro, Paulo Carreira, and Nuno Santos:
    Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses.
    International Conference on Software Engineering (ICSE), 2025
    47 cites at Semantic Scholar
    596% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, and Zhenyu Chen:
    Source Code Summarization in the Era of Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    45 cites at OpenAlex
    566% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhijie Wang, Zijie Zhou, Da Song, Yuheng Huang, Shengmai Chen, Lei Ma, and Tianyi Zhang:
    Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models.
    International Conference on Software Engineering (ICSE), 2025
    44 cites at Semantic Scholar
    552% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi, and Andy Zaidman:
    Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests.
    International Conference on Software Engineering (ICSE), 2025
    40 cites at Semantic Scholar
    492% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Myeongsoo Kim, Tyler Stennett, Saurabh Sinha, and Alessandro Orso:
    A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs.
    International Conference on Software Engineering (ICSE), 2025
    39 cites at Semantic Scholar
    478% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Hanxiang Xu, Wei Ma, Ting Zhou, Yanjie Zhao, Kai Chen, Qiang Hu, Yang Liu, and Haoyu Wang:
    CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph.
    International Conference on Software Engineering (ICSE): Companion, 2025
    30 cites at Semantic Scholar
    344% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Tyler Stennett, Myeongsoo Kim, Saurabh Sinha, and Alessandro Orso:
    AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL.
    International Conference on Software Engineering (ICSE): Companion, 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Kristian Kolthoff, Felix Kretzer, Christian Bartelt, Alexander Maedche, and Simone Paolo Ponzetto:
    GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping.
    International Conference on Software Engineering (ICSE): Companion, 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Changguo Jia, Nianyu Li, Kai Yang, and Minghui Zhou:
    SIT: An Accurate, Compliant SBOM Generator with Incremental Construction.
    International Conference on Software Engineering (ICSE): Companion, 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Qiang Ke, Xinyi Hou, Yanjie Zhao, and Haoyu Wang:
    ClauseBench: Enhancing Software License Analysis with Clause-Level Benchmarking.
    International Conference on Software Engineering (ICSE): Companion, 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yisen Xu:
    MUARF: Leveraging Multi-Agent Workflows for Automated Code Refactoring.
    International Conference on Software Engineering (ICSE): Companion, 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Reem Aleithan:
    Revisiting SWE-Bench: On the Importance of Data Quality for LLM-Based Code Models.
    International Conference on Software Engineering (ICSE): Companion, 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Trey Woodlief, Felipe Toledo, Sebastian G. Elbaum, and Matthew B. Dwyer:
    Closing the Gap Between Sensor Inputs and Driving Properties: A Scene Graph Generator for CARLA.
    International Conference on Software Engineering (ICSE): Companion, 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Aditya Kahol, Anka Chandrahas Tummepalli, and Preethu Rose Anish:
    OSS-LCAF: Open-Source Software License Conflict Analysis Framework.
    International Conference on Software Engineering (ICSE): Companion, 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Simon Speth and Alexander Pretschner:
    GeMTest: A General Metamorphic Testing Framework.
    International Conference on Software Engineering (ICSE): Companion, 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zhaonan Wu, Yanjie Zhao, Chen Wei, Zirui Wan, Yue Liu, and Haoyu Wang:
    COmmitSHield: Tracking Vulnerability Introduction and Fix in Version Control Systems.
    International Conference on Software Engineering (ICSE): Companion, 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Hongzhou Rao, Yanjie Zhao, Wenjie Zhu, Ling Xiao, Meizhen Wang, and Haoyu Wang:
    CODEMORPH: Mitigating Data Leakage in Large Language Model Assessment.
    International Conference on Software Engineering (ICSE): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Samveg Shah, Shivali Agarwal, Saravanan Krishnan, Vini Kanvar, and Sridhar Chimalakonda:
    A-COBREX: A Tool for Identifying Business Rules in COBOL Programs.
    International Conference on Software Engineering (ICSE): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Normen Yu, Luciana Carreon, Gang Tan, and Saeid Tizpaz-Niari:
    FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software.
    International Conference on Software Engineering (ICSE): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xing Cui, Jingzheng Wu, Xiang Ling, Tianyue Luo, Mutian Yang, and Wenxiang Ou:
    Exploring Large Language Models for Analyzing Open Source License Conflicts: How Far Are We?
    International Conference on Software Engineering (ICSE): Companion, 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mohammed Latif Siddiq:
    Advancing Secure and Standard Source Code Generation Techniques.
    International Conference on Software Engineering (ICSE): Companion, 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Boqi Chen:
    Consistent Graph Model Generation with Large Language Models.
    International Conference on Software Engineering (ICSE): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    April Clarke:
    Improving Software Team Communication Through Social Interventions in Project Management Tools.
    International Conference on Software Engineering (ICSE): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Dipin Khati:
    Trustworthiness of Large Language Models for Code.
    International Conference on Software Engineering (ICSE): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jasmine Latendresse, Naoures Day, SayedHassan Khatoonabadi, and Emad Shihab:
    The Software Librarian: Python Package Insights for Copilot.
    International Conference on Software Engineering (ICSE): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Andreas Vogelsang, Alexander Korn, Giovanna Broccia, Alessio Ferrari, Jannik Fischbach, and Chetan Arora:
    On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    25 cites at Semantic Scholar
    270% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Alejandro Velasco, Daniel Rodríguez-Cárdenas, Luftar Rahman Alif, David N. Palacio, and Denys Poshyvanyk:
    How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Istvan David:
    SusDevOps: Promoting Sustainability to a First Principle in Software Delivery.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, and Yang Liu:
    Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Fengjie Li, Jiajun Jiang, Jiajun Sun, and Hongyu Zhang:
    Evaluating the Generalizability of LLMs in Automated Program Repair.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Liangying Shao, Yanfu Yan, Denys Poshyvanyk, and Jinsong Su:
    UniGenCoder: Merging SEQ2SEQ and SEQ2TREE Paradigms for Unified Code Generation.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Paschal C. Amusuo, Parth V. Patil, Owen Cochell, Taylor Le Lievre, and James C. Davis:
    A Unit Proofing Framework for Code-Level Verification: A Research Agenda.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Robin Kimmel, Judith Michael, Andreas Wortmann, and Jingxi Zhang:
    Digital Twins for Software Engineering Processes.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, and Xiangfeng Wang:
    SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Abhishek Kumar, Sandhya Sankar, Sonia Haiduc, Partha Pratim Das, and Partha Pratim Chakrabarti:
    LLMs as Evaluators: A Novel Approach to Commit Message Quality Assessment.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Marc North, Amir Atapour-Abarghouei, and Nelly Bencomo:
    Beyond Syntax: How Do LLMs Understand Code?
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nimrod Busany, Hananel Hadad, Zofia Maszlanka, Rohit Shelke, Gregory Price, Okhaide Akhigbe, and Daniel Amyot:
    Optimizing Experiment Configurations for LLM Applications Through Exploratory Analysis.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Long Doan and ThanhVu Nguyen:
    AI-Assisted Autoformalization of Combinatorics Problems in Proof Assistants.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yuanjun Gong and Fabio Massacci:
    When in Doubt Throw It Out: Building on Confident Learning for Vulnerability Detection.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    A. Finn Hackett and Ivan Beschastnikh:
    Listening to the Firehose: Sonifying Z3's Behavior.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Benedikt Steininger, Chrysanthi Papamichail, David Stark, Dejan Nickovic, and Alessio Gambi:
    Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yang Yue, Yi Wang, and David F. Redmiles:
    Discovering Ideologies of the Open Source Software Movement.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Maria Camporese and Fabio Massacci:
    Using ML Filters to Help Automated Vulnerability Repairs: When It Helps and When It Doesn't.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shane McIntosh, Luca Milanesio, Antonio Barone, Jacek Centkowski, Marcin Czech, and Fabio Ponciroli:
    Using Reinforcement Learning to Sustain the Performance of Version Control Repositories.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Nitish Patkar, Aimen Fahmi, Timo Kehrer, and Norbert Seyff:
    What Is a Feature, Really? Toward a Unified Understanding Across SE Disciplines.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, and Ming Wu:
    Human-In-The-Loop Software Development Agents.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    77 cites at Semantic Scholar
    1040% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Umut Cihan, Vahid Haratian, Arda Içöz, Mert Kaan Gül, Ömercan Devran, Emircan Furkan Bayendur, Baykal Mehmet Uçar, and Eray Tüzün:
    Automated Code Review in Practice.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    59 cites at Semantic Scholar
    774% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, and Satish Chandra:
    Evaluating Agent-Based Program Repair at Google.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    56 cites at Semantic Scholar
    729% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, and Saurabh Sinha:
    ASTER: Natural and Multi-Language Unit Test Generation with LLMs.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    43 cites at Semantic Scholar
    537% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, and Varun Kumar:
    On Mitigating Code LLM Hallucinations with API Documentation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    39 cites at Semantic Scholar
    478% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, and Satish Chandra:
    How Much Does AI Impact Development Speed? An Enterprise-Based Randomized Controlled Trial.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    35 cites at Semantic Scholar
    418% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Spandan Garg, Roshanak Zilouchian Moghaddam, and Neel Sundaresan:
    RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    34 cites at Semantic Scholar
    403% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yilun Liu, Yuhe Ji, Shimin Tao, Minggui He, Weibin Meng, Shenglin Zhang, Yongqian Sun, Yuming Xie, Boxing Chen, and Hao Yang:
    LogLM: From Task-Based to Instruction-Based Automated Log Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi, Janakan Sivaloganathan, John Steinbacher, and Andriy V. Miranskyy:
    Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Nadia Nahar, Christian Kästner, Jenna L. Butler, Chris Parnin, Thomas Zimmermann, and Christian Bird:
    Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    25 cites at Semantic Scholar
    270% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jenna L. Butler, Jina Suh, Sankeerti Haniyur, and Constance Hadley:
    Dear Diary: A Randomized Controlled Trial of Generative AI Coding Tools in the Workplace.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Stoyan Nikolov, Daniele Codecasa, Anna Sjövall, Maxim Tabachnyk, Satish Chandra, Siddharth Taneja, and Celal Ziftci:
    How Is Google Using AI for Internal Code Migrations?
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi, and Davide Taibi:
    On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, and Ge Li:
    aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Hao Li, Cor-Paul Bezemer, and Ahmed E. Hassan:
    Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Guilherme Vaz Pereira, Victoria Jackson, Rafael Prikladnicki, André van der Hoek, Luciane Fortes, Carolina Araújo, André Coelho, Ligia Chelli, and Diego Ramos:
    Exploring GenAI in Software Development: Insights from a Case Study in a Large Brazilian Company.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, and Nachiappan Nagappan:
    Moving Faster and Reducing Risk: Using LLMs in Release Deployment.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Haonan Chen, Daihang Chen, Yizhuo Yang, Lingyun Xu, Liang Gao, Mingyi Zhou, Chunming Hu, and Li Li:
    ArkAnalyzer: The Static Analysis Framework for OpenHarmony.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Anton Semenkin, Vitaliy Bibaev, Yaroslav Sokolov, Kirill Krylov, Alexey Kalina, Anna Khannanova, Danila Savenkov, Darya Rovdo, Igor Davidenko, Kirill Karnaukhov, Maxim Vakhrushev, Mikhail Kostyukov, Mikhail Podvitskii, Petr Surkov, Yaroslav Golubev, Nikita Povarov, and Timofey Bryksin:
    Full Line Code Completion: Bringing AI to Desktop.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Wei Liu, Feng Lin, Linqiang Guo, Tse-Hsun Peter Chen, and Ahmed E. Hassan:
    GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Kiev Gama, Grischa Liebel, Miguel Goulão, Aline Lacerda, and Cristiana Lacerda:
    A Socio-Technical Grounded Theory on the Effect of Cognitive Dysfunctions in the Performance of Software Developers with ADHD and Autism.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Muneera Bano, Hashini Gunatilake, and Rashina Hoda:
    What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Vincenzo De Martino, Silverio Martínez-Fernández, and Fabio Palomba:
    Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Sonja M. Hyrynsalmi, Grischa Liebel, Ronnie de Souza Santos, and Sebastian Baltes:
    Not Real or Too Soft? On the Challenges of Publishing Interdisciplinary Software Engineering Research.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Matheus de Morais Leça and Ronnie de Souza Santos:
    Curious, Critical Thinker, Empathetic, and Ethically Responsible: Essential Soft Skills for Data Scientists in Software Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone, Gemma Catolino, and Fabio Palomba:
    From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Davoud Mougouei, Ahmad Azarnik, Mahdi Fahmideh, Elahe Mougouei, Hoa Khanh Dam, Arif Ali Khan, Saima Rafi, Javed Ali Khan, and Aakash Ahmad:
    A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yagil Elias, Tom P. Humbert, Lauren Olson, and Emitzá Guzmán:
    What Is Unethical About Software? User Perceptions in the Netherlands.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yeqian Li and Kousar Aslam:
    Ethical Issues in Video Games: Insights From Reddit Discussions.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shandler A. Mason, Hank Lenham, and Sandeep Kaur Kuttal:
    Breaking the Silos: An Actionable Framework for Recruiting Diverse Participants in SE.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Emily Vorderwülbeke and Isabella Graßl:
    Belonging Beyond Code: Queer Software Engineering and Humanities Student Experiences.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Sergio Cobos and Javier Luis Cánovas Izquierdo:
    A Bot-Based Approach to Manage Codes of Conduct in Open-Source Projects.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Edvaldo Wassouf Jr, Pedro Fukuda, and Awdren L. Fontão:
    Investigating the Developer Experience of LGBTQIAPN+ People in Agile Teams.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Kurt Schneider, Farnaz Fotrousi, and Rebekka Wohlrab:
    A Reference Model for Empirically Comparing LLMs with Humans.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Muhammad M. Hossain, Banani Roy, Chanchal Roy, and Kevin A. Schneider:
    A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Minjoo Kim, Taehyun Kim Kim, Jaehyun Chung, Hyunseok Choi, Seokhyeon Min, Joon-Ho Lim, and Soohyun Park:
    Multi-Modal LLM-Based Fully-Automated Training Dataset Generation Software Platform for Mathematics Education.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Gennaro Zanfardino, Antinisca Di Marco, and Michele Tucci:
    Designing a Tool for Evacuation Plan Validation: Multi-Agent Simulations with Persona-Based UI.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Steve Counsell, Giuseppe Destefanis, Rumyana Neykova, Alina Dana Miron, Nadine Aburumman, and Thomas Shippey:
    There's Nothing to See Here: A Study of Deaf and Hearing Developer Use of Stack Overflow.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Júlia Rocha Fortunato, Luana Ribeiro Soares, Gabriela Silva Alves, Edna Dias Canedo, and Fabiana Freitas Mendes:
    Enhancing Women's Experiences in Software Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rifat Ara Shams, Mojtaba Shahin, Gillian C. Oliver, Jon Whittle, Waqar Hussain, Harsha Perera, and Arif Nurwidyantoro:
    Strategies to Embed Human Values in Mobile Apps: What Do End-Users and Practitioners Think?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2025
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang:
    Demystifying LLM-Based Software Engineering Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    248 cites at Semantic Scholar
    3572% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Juan Altmayer Pizzorno and Emery D. Berger:
    CoverUp: Effective High Coverage Test Generation for Python.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    98 cites at Semantic Scholar
    1351% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, and Yongbin Li:
    Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Mark Harman, Jillian Ritchey, Inna Harper, Shubho Sengupta, Ke Mao, Abhishek Gulati, Christopher Foster, and Hervé Robert:
    Mutation-Guided LLM-Based Test Generation at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    60 cites at Semantic Scholar
    789% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ali Reza Ibrahimzada, Kaiyao Ke, Mrigank Pawagi, Muhammad Salman Abid, Rangeet Pan, Saurabh Sinha, and Reyhaneh Jabbarvand:
    AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    54 cites at Semantic Scholar
    700% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yuetian Mao, Junjie He, and Chunyang Chen:
    From Prompts to Templates: A Systematic Prompt Template Analysis for Real-World LLMapps.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Christian Rahe and Walid Maalej:
    How Do Programming Students Use Generative AI?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Borui Yang, Md Afif Al Mamun, Jie M. Zhang, and Gias Uddin:
    Hallucination Detection in Large Language Models with Metamorphic Relations.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    50 cites at Semantic Scholar
    640% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jenny T. Liang, Melissa Lin, Nikitha Rao, and Brad A. Myers:
    Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    49 cites at Semantic Scholar
    626% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, and Michael R. Lyu:
    Divide-and-Conquer: Generating UI Code from Screenshots.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    49 cites at Semantic Scholar
    626% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Tao Sun, Jian Xu, Yuanpeng Li, Zhao Yan, Ge Zhang, Lintao Xie, Lu Geng, Zheng Wang, Yueyan Chen, Qin Lin, Wenbo Duan, Kaixin Sui, and Yuanshuo Zhu:
    BitsAI-CR: Automated Code Review via LLM in Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    46 cites at Semantic Scholar
    581% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, and Lei Ma:
    VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    45 cites at Semantic Scholar
    566% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yun Peng, Jun Wan, Yichen Li, and Xiaoxue Ren:
    COFFE: A Code Efficiency Benchmark for Code Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    44 cites at Semantic Scholar
    552% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chenxu Wang, Tianming Liu, Yanjie Zhao, Minghui Yang, and Haoyu Wang:
    LLMDroid: Enhancing Automated Mobile App GUI Testing Coverage with Large Language Model Guidance.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhihan Jiang, Junjie Huang, Guangba Yu, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, and Michael R. Lyu:
    L4: Diagnosing Large-Scale LLM Training Failures via Automated Log Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    32 cites at Semantic Scholar
    374% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Myeongsoo Kim, Saurabh Sinha, and Alessandro Orso:
    LlamaRestTest: Effective REST API Testing with Small Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    32 cites at Semantic Scholar
    374% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Celal Ziftci, Stoyan Nikolov, Anna Sjövall, Bo Kim, Daniele Codecasa, and Max Kim:
    Migrating Code At Scale With LLMs At Google.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    31 cites at Semantic Scholar
    359% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ting Zhou, Yanjie Zhao, Xinyi Hou, Xiaoyu Sun, Kai Chen, and Haoyu Wang:
    DeclarUI: Bridging Design and Development with Automated Declarative UI Code Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    30 cites at Semantic Scholar
    344% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, and Ying Li:
    AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ziyao He, Syed Fatiul Huq, and Sam Malek:
    Enhancing Web Accessibility: Automated Detection of Issues with Generative AI.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang:
    Demystifying LLM-Based Software Engineering Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    248 cites at Semantic Scholar
    3572% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Juan Altmayer Pizzorno and Emery D. Berger:
    CoverUp: Effective High Coverage Test Generation for Python.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    98 cites at Semantic Scholar
    1351% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ali Reza Ibrahimzada, Kaiyao Ke, Mrigank Pawagi, Muhammad Salman Abid, Rangeet Pan, Saurabh Sinha, and Reyhaneh Jabbarvand:
    AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    54 cites at Semantic Scholar
    700% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Christian Rahe and Walid Maalej:
    How Do Programming Students Use Generative AI?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Borui Yang, Md Afif Al Mamun, Jie M. Zhang, and Gias Uddin:
    Hallucination Detection in Large Language Models with Metamorphic Relations.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    50 cites at Semantic Scholar
    640% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jenny T. Liang, Melissa Lin, Nikitha Rao, and Brad A. Myers:
    Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    49 cites at Semantic Scholar
    626% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, and Michael R. Lyu:
    Divide-and-Conquer: Generating UI Code from Screenshots.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    49 cites at Semantic Scholar
    626% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, and Lei Ma:
    VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    45 cites at Semantic Scholar
    566% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yun Peng, Jun Wan, Yichen Li, and Xiaoxue Ren:
    COFFE: A Code Efficiency Benchmark for Code Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    🏆 Distinguished Paper
    44 cites at Semantic Scholar
    552% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Chenxu Wang, Tianming Liu, Yanjie Zhao, Minghui Yang, and Haoyu Wang:
    LLMDroid: Enhancing Automated Mobile App GUI Testing Coverage with Large Language Model Guidance.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Myeongsoo Kim, Saurabh Sinha, and Alessandro Orso:
    LlamaRestTest: Effective REST API Testing with Small Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    32 cites at Semantic Scholar
    374% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ting Zhou, Yanjie Zhao, Xinyi Hou, Xiaoyu Sun, Kai Chen, and Haoyu Wang:
    DeclarUI: Bridging Design and Development with Automated Declarative UI Code Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    30 cites at Semantic Scholar
    344% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Ziyao He, Syed Fatiul Huq, and Sam Malek:
    Enhancing Web Accessibility: Automated Detection of Issues with Generative AI.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yuvraj Virk, Premkumar T. Devanbu, and Toufique Ahmed:
    Calibration of Large Language Models on Code Summarization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Mingzhi Mao, Xilin Liu, Yuchi Ma, and Zibin Zheng:
    Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Kyla Levin, Nicolas van Kempen, Emery D. Berger, and Stephen N. Freund:
    ChatDBG: Augmenting Debugging with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    28 cites at Semantic Scholar
    315% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Junjie Huang, Zhihan Jiang, Zhuangbin Chen, and Michael R. Lyu:
    No More Labelled Examples? An Unsupervised Log Parser with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    25 cites at Semantic Scholar
    270% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Soneya Binta Hossain, Raygan Taylor, and Matthew B. Dwyer:
    Doc2OracLL: Investigating the Impact of Documentation on LLM-Based Test Oracle Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiaolong Kong, Xiaofei Xie, and Shangqing Liu:
    Demystifying Memorization in LLM-Based Program Repair via a General Hypothesis Testing Framework.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Zhengmin Yu, Yuan Zhang, Ming Wen, Yinan Nie, Wenhui Zhang, and Min Yang:
    CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, and Yongbin Li:
    Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    78 cites at Semantic Scholar
    1055% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mark Harman, Jillian Ritchey, Inna Harper, Shubho Sengupta, Ke Mao, Abhishek Gulati, Christopher Foster, and Hervé Robert:
    Mutation-Guided LLM-Based Test Generation at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    60 cites at Semantic Scholar
    789% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yuetian Mao, Junjie He, and Chunyang Chen:
    From Prompts to Templates: A Systematic Prompt Template Analysis for Real-World LLMapps.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    52 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Tao Sun, Jian Xu, Yuanpeng Li, Zhao Yan, Ge Zhang, Lintao Xie, Lu Geng, Zheng Wang, Yueyan Chen, Qin Lin, Wenbo Duan, Kaixin Sui, and Yuanshuo Zhu:
    BitsAI-CR: Automated Code Review via LLM in Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    46 cites at Semantic Scholar
    581% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhihan Jiang, Junjie Huang, Guangba Yu, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, and Michael R. Lyu:
    L4: Diagnosing Large-Scale LLM Training Failures via Automated Log Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    32 cites at Semantic Scholar
    374% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Celal Ziftci, Stoyan Nikolov, Anna Sjövall, Bo Kim, Daniele Codecasa, and Max Kim:
    Migrating Code At Scale With LLMs At Google.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    31 cites at Semantic Scholar
    359% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, and Ying Li:
    AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    29 cites at Semantic Scholar
    329% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, and Charles Sutton:
    Natural Language Outlines for Code: Literate Programming in the LLM Era.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    27 cites at Semantic Scholar
    300% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Sebastian Zhao, Alan Zhu, Hussein Mozannar, David A. Sontag, Ameet Talwalkar, and Valerie Chen:
    CodingGenie: A Proactive LLM-Powered Programming Assistant.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Minghua Ma, and Dan Pei:
    OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yiran Zhang, Ruiyin Li, Peng Liang, Weisong Sun, and Yang Liu:
    Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Krishna Ronanki:
    Facilitating Trustworthy Human-Agent Collaboration in LLM-Based Multi-Agent System Oriented Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xinchen Wang, Pengfei Gao, Xiangxin Meng, Chao Peng, Ruida Hu, Yun Lin, and Cuiyun Gao:
    AEGIS: An Agent-Based Framework for Bug Reproduction from Issue Descriptions.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chaozheng Wang, Zezhou Yang, Shuzheng Gao, Cuiyun Gao, Ting Peng, Hailiang Huang, Yuetang Deng, and Michael R. Lyu:
    RAG or Fine-Tuning? A Comparative Study on LCMs-Based Code Completion in Industry.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Bianca Trinkenreich, Fabio Calefato, Geir Hanssen, Kelly Blincoe, Marcos Kalinowski, Mauro Pezzè, Paolo Tell, and Margaret-Anne D. Storey:
    Get on the Train or Be Left on the Station: Using LLMs for Software Engineering Research.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    16 cites at Semantic Scholar
    137% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ilya Zakharov, Ekaterina Koshchenko, and Agnia Sergeyuk:
    AI in Software Engineering: Perceived Roles and Their Impact on Adoption.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Matias Martinez:
    The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Brell Peclard Sanwouo Chekam, Clément Quinton, and Paul Temple:
    Breaking the Loop: AWARE Is the New MAPE-K.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perret, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, and Erin Barrar:
    What Do Professional Software Developers Need to Know to Succeed in an Age of Artificial Intelligence?
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, and Molly Q. Feldman:
    "I Would Have Written My Code Differently': Beginners Struggle to Understand LLM-Generated Code.
    ACM International Conference on the Foundations of Software Engineering (FSE): Companion, 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Islem Bouzenia and Michael Pradel:
    Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    81 cites at Semantic Scholar
    1099% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, and Xiaodong Gu:
    LongCodeZip: Compress Long Context for Code Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    46 cites at Semantic Scholar
    581% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zixin Wang, Xinyi Xu, Wenxuan Wang, Zhiyao Xu, Yuhang Wang, and Michael R. Lyu:
    Interaction2Code: Benchmarking MLLM-Based Interactive Webpage Code Generation from Interactive Prototyping.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    43 cites at Semantic Scholar
    537% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yingwei Ma, Yongbin Li, Yihong Dong, Xue Jiang, Yanhao Li, Yue Liu, Rongyu Cao, Jue Chen, Fei Huang, and Binhua Li:
    Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhi Ma, Cheng Wen, Zhexin Su, Xiao Liang, Cong Tian, Shengchao Qin, and Mengfei Yang:
    Bridging Natural Language and Formal Specification-Automated Translation of Software Requirements to LTL via Hierarchical Semantics Decomposition Using LLMs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    22 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, and Zhongxin Liu:
    Issue Localization via LLM-Driven Iterative Code Graph Searching.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ruofan Lu, Yichen Li, and Yintong Huo:
    Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Benjamin Rombaut, Sogol Masoumzadeh, Kirill Vasilevski, Dayi Lin, and Ahmed E. Hassan:
    Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Qinyun Wu, Chao Peng, Pengfei Gao, Ruida Hu, Haoyu Gan, Bo Jiang, Jinhe Tang, Zhiwen Deng, Zhanming Guan, Cuiyun Gao, Xia Liu, and Ping Yang:
    RepoMasterEval: Evaluating Code Completion via Real-World Repositories.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Kai Huang, Jian Zhang, Xiaofei Xie, and Chunyang Chen:
    Seeing Is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    16 cites at Semantic Scholar
    137% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Haoxiang Jia, Robbie Morris, He Ye, Federica Sarro, and Sergey Mechtaev:
    Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    16 cites at Semantic Scholar
    137% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Aayush Kumar, Yasharth Bajpai, Sumit Gulwani, Gustavo Soares, and Emerson R. Murphy-Hill:
    Why AI Agents Still Need You: Findings from Developer-Agent Collaborations in the Wild.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Aaditya Bhatia, Haoxiang Zhang, Yihao Chen, Zhilong Chen, Arthur Leung, Dayi Lin, Boyuan Chen, and Ahmed E. Hassan:
    SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, and David Lo:
    "My Productivity Is Boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Dany Moshkovich and Sergey Zeltyn:
    Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Weiyuan Xu, Juntao Luo, Tao Huang, Kaixin Sui, Jie Geng, Qijun Ma, Isami Akasaka, Xiaoxue Shi, Jing Tang, and Peng Cai:
    LogSage: An LLM-Based Framework for CI/CD Failure Detection and Remediation with Industrial Validation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yuxin Zhang, Yuxia Zhang, Zeyu Sun, Yanjie Jiang, and Hui Liu:
    LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Juantao Zhong, Daoyuan Wu, Ye Liu, Maoyi Xie, Yang Liu, Yi Li, and Ning Liu:
    Detecting Various DeFi Price Manipulations with LLM Reasoning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Davide Molinelli, Luca Di Grazia, Alberto Martin-Lopez, Michael D. Ernst, and Mauro Pezzè:
    Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ramtin Ehsani, Esteban Parra, Sonia Haiduc, and Preetha Chatterjee:
    Hierarchical Knowledge Injection for Improving LLM-Based Program Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, and Zibin Zheng:
    LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    218 cites at Semantic Scholar
    3128% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, and Xin Xia:
    Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    145 cites at Semantic Scholar
    2047% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Islem Bouzenia and Michael Pradel:
    You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    79 cites at Semantic Scholar
    1070% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Niklas Risse, Jing Liu, and Marcel Böhme:
    Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    58 cites at Semantic Scholar
    759% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lei Yu, Zhirong Huang, Hang Yuan, Shiqi Cheng, Li Yang, Fengjun Zhang, Chenjie Shen, Jiajia Ma, Jingyuan Zhang, Junyi Lu, and Chun Zuo:
    Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    41 cites at Semantic Scholar
    507% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ye Shang, Quanjun Zhang, Chunrong Fang, Siqi Gu, Jianyi Zhou, and Zhenyu Chen:
    A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    38 cites at Semantic Scholar
    463% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wai Kin Wong, Daoyuan Wu, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu:
    DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    38 cites at Semantic Scholar
    463% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Fan Wu, Cuiyun Gao, Shuqing Li, Xin-Cheng Wen, and Qing Liao:
    MLLM-Based UI2Code Automation Guided by UI Layout Information.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    35 cites at Semantic Scholar
    418% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Jialuo Chen, Hui Xue, Xiaoxia Liu, Wenhai Wang, Kui Ren, and Jingyi Wang:
    S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    35 cites at Semantic Scholar
    418% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lianghong Guo, Wei Tao, Runhan Jiang, Yanlin Wang, Jiachi Chen, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, and Zibin Zheng:
    OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Pengyu Xue, Linhao Wu, Zhen Yang, Chengyi Wang, Xiang Li, Yuxiang Zhang, Jia Li, Ruikai Jin, Yifei Pei, Zhaoyan Shen, Xiran Lyu, and Jacky Wai Keung:
    ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    27 cites at Semantic Scholar
    300% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yiling He, Hongyu She, Xingzhi Qian, Xinran Zheng, Zhuo Chen, Zhan Qin, and Lorenzo Cavallaro:
    On Benchmarking Code LLMs for Android Malware Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    24 cites at Semantic Scholar
    255% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mingwei Zheng, Danning Xie, Qingkai Shi, Chengpeng Wang, and Xiangyu Zhang:
    Validating Network Protocol Parsers with Traceable RFC Document Interpretation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    22 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Weining Cao, Guangyuan Wu, Tangzhi Xu, Yuan Yao, Hengfeng Wei, Taolue Chen, and Xiaoxing Ma:
    Clause2Inv: A Generate-Combine-Check Framework for Loop Invariant Inference.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, and Yongbin Li:
    SWE-GPT: A Process-Centric Language Model for Automated Software Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yifan Xia, Zichen Xie, Peiyu Liu, Kangjie Lu, Yan Liu, Wenhai Wang, and Shouling Ji:
    Beyond Static Pattern Matching? Rethinking Automatic Cryptographic API Misuse Detection in the Era of LLMs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, and Claire Le Goues:
    AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, and Jin Song Dong:
    GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    José Antonio Zamudio Amaya, Marius Smytzek, and Andreas Zeller:
    FANDANGO: Evolving Language-Based Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jinhao Dong, Jun Sun, Wenjie Zhang, Jin Song Dong, and Dan Hao:
    ConTested: Consistency-Aided Tested Code Generation with LLM.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, and Zibin Zheng:
    LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    218 cites at Semantic Scholar
    3128% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, and Xin Xia:
    Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    145 cites at Semantic Scholar
    2047% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Islem Bouzenia and Michael Pradel:
    You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    79 cites at Semantic Scholar
    1070% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Niklas Risse, Jing Liu, and Marcel Böhme:
    Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    58 cites at Semantic Scholar
    759% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lei Yu, Zhirong Huang, Hang Yuan, Shiqi Cheng, Li Yang, Fengjun Zhang, Chenjie Shen, Jiajia Ma, Jingyuan Zhang, Junyi Lu, and Chun Zuo:
    Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    41 cites at Semantic Scholar
    507% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ye Shang, Quanjun Zhang, Chunrong Fang, Siqi Gu, Jianyi Zhou, and Zhenyu Chen:
    A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    38 cites at Semantic Scholar
    463% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wai Kin Wong, Daoyuan Wu, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu:
    DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    38 cites at Semantic Scholar
    463% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Fan Wu, Cuiyun Gao, Shuqing Li, Xin-Cheng Wen, and Qing Liao:
    MLLM-Based UI2Code Automation Guided by UI Layout Information.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    35 cites at Semantic Scholar
    418% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Jialuo Chen, Hui Xue, Xiaoxia Liu, Wenhai Wang, Kui Ren, and Jingyi Wang:
    S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    35 cites at Semantic Scholar
    418% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lianghong Guo, Wei Tao, Runhan Jiang, Yanlin Wang, Jiachi Chen, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, and Zibin Zheng:
    OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Pengyu Xue, Linhao Wu, Zhen Yang, Chengyi Wang, Xiang Li, Yuxiang Zhang, Jia Li, Ruikai Jin, Yifei Pei, Zhaoyan Shen, Xiran Lyu, and Jacky Wai Keung:
    ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    27 cites at Semantic Scholar
    300% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mingwei Zheng, Danning Xie, Qingkai Shi, Chengpeng Wang, and Xiangyu Zhang:
    Validating Network Protocol Parsers with Traceable RFC Document Interpretation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    22 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Weining Cao, Guangyuan Wu, Tangzhi Xu, Yuan Yao, Hengfeng Wei, Taolue Chen, and Xiaoxing Ma:
    Clause2Inv: A Generate-Combine-Check Framework for Loop Invariant Inference.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, and Yongbin Li:
    SWE-GPT: A Process-Centric Language Model for Automated Software Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yifan Xia, Zichen Xie, Peiyu Liu, Kangjie Lu, Yan Liu, Wenhai Wang, and Shouling Ji:
    Beyond Static Pattern Matching? Rethinking Automatic Cryptographic API Misuse Detection in the Era of LLMs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, and Claire Le Goues:
    AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    19 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, and Jin Song Dong:
    GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    José Antonio Zamudio Amaya, Marius Smytzek, and Andreas Zeller:
    FANDANGO: Evolving Language-Based Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jinhao Dong, Jun Sun, Wenjie Zhang, Jin Song Dong, and Dan Hao:
    ConTested: Consistency-Aided Tested Code Generation with LLM.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Roozbeh Aghili, Heng Li, and Foutse Khomh:
    Protecting Privacy in Software Logs: What Should Be Anonymized?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Yiling He, Hongyu She, Xingzhi Qian, Xinran Zheng, Zhuo Chen, Zhan Qin, and Lorenzo Cavallaro:
    On Benchmarking Code LLMs for Android Malware Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    24 cites at Semantic Scholar
    255% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, and Junjie Chen:
    A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yuanmin Xie, Zhenyang Xu, Yongqiang Tian, Min Zhou, Xintong Zhou, and Chengnian Sun:
    Kitten: A Simple Yet Effective Baseline for Evaluating LLM-Based Compiler Testing Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Stefanos Chaliasos, Imam Al-Fath, and Alastair F. Donaldson:
    Towards Fuzzing Zero-Knowledge Proof Circuits (Short Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jakub Narebski, Mikolaj Fejzer, Krzysztof Stencel, and Piotr Przymus:
    PatchScope - A Modular Tool for Annotating and Analyzing Contributions.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    M. M. Abid Naziri, Aman Kumar Singh, Benjamin Wu, Feiran (Alex) Qin, Saikat Dutta, and Marcelo d'Amorim:
    BugsInDLLs : A Database of Reproducible Bugs in Deep Learning Libraries to Enable Systematic Evaluation of Testing Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Tong Qiu, Jiaxin Zhu, Wei Chen, and Jun Wei:
    LiPSBOMaker: A Prototype of Multi-Stage Linux Distribution Package SBOM Generator.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Miriam Ugarte, Pablo Valle, José Antonio Parejo, Sergio Segura, and Aitor Arrieta:
    ASTRAL: A Tool for the Automated Safety Testing of Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Emilio Coppa, Daniel Sokolowski, and Guido Salvaneschi:
    Hybrid Fuzzing of Infrastructure as Code Programs (Short Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yongjian Guo, Wanlun Ma, Xi Xiao, Sheng Wen, Peng Di, and Xiaogang Zhu:
    Patch the Leak: Strengthening CodeLLMs Against Privacy Extraction Threats.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Qiang Hu, Xiaofei Xie, Sen Chen, Lili Quan, and Lei Ma:
    Large Language Model Supply Chain: Open Problems From the Security Perspective.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ai Liu, Yang Liu, and Shaoying Liu:
    TBFV4J: An Automated Testing-Based Formal Verification Tool for Java.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lianglu Pan, Shaanan Cohney, Toby Murray, and Van-Thuan Pham:
    Trailblazer: Practical End-to-End Web API Fuzzing (Registered Report).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Philipp Straubinger, Tim Greller, and Gordon Fraser:
    Teaching Software Testing and Debugging with the Serious Game Sojourner Under Sabotage.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at OpenAlex
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yihua Xu, Chengyu Zhang, and Geguang Pu:
    Revisiting the Combination of Static Analysis Error Traces and Dynamic Symbolic Execution: A Potential Approach for True Positive Confirmation (Registered Report).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Xinpeng Liu, Qinying Wang, Peiyu Liu, Wenhai Wang, and Shouling Ji:
    MQueez: Specification-Driven Fuzzing for MQTT Broker (Registered Report).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shuai He, Hao Yan, Wenke Li, Sheng Hong, Xiaowei Guo, Xiaofan Liu, and Cai Fu:
    From Large Language Models to Adversarial Malware: How Far Are We.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Paul Kalbitzer, José Antonio Zamudio Amaya, and Andreas Zeller:
    XAVIER: Grammar-Based Testing for XML Injection Attacks.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Stephan Neuhaus, José Antonio Zamudio Amaya, and Andreas Zeller:
    Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module (Short Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Nuno Saavedra, João F. Ferreira, and Alexandra Mendes:
    InfraFix: Technology-Agnostic Repair of Infrastructure as Code.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Companion, 2025
    1 cites at OpenAlex
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Toufique Ahmed, Premkumar T. Devanbu, Christoph Treude, and Michael Pradel:
    Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    101 cites at Semantic Scholar
    1396% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, and Hadi Hemmati:
    Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    40 cites at Semantic Scholar
    492% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Mahan Tafreshipour, Aaron Imani, Eric Huang, Eduardo Santana de Almeida, Thomas Zimmermann, and Iftekhar Ahmed:
    Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    32 cites at Semantic Scholar
    374% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Timur Galimzyanov, Sergey Titov, Yaroslav Golubev, and Egor Bogomolov:
    Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ramtin Ehsani, Sakshi Pathak, and Preetha Chatterjee:
    Towards Detecting Prompt Knowledge Gaps for Improved LLM-Guided Issue Resolution.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    25 cites at Semantic Scholar
    270% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Navid Bin Hasan, Md. Ashraful Islam, Junaed Younus Khan, Sanjida Senjik, and Anindya Iqbal:
    Automatic High-Level Test Case Generation Using Large Language Models.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Damien Jaime, Joyce El Haddad, and Pascal Poizat:
    Navigating and Exploring Software Dependency Graphs Using Goblin.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    22 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Imen Jaoua, Oussama Ben Sghaier, and Houari A. Sahraoui:
    Combining Large Language Models with Static Analyzers for Code Review Generation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Piotr Przymus and Thomas Durieux:
    Wolves in the Repository: A Software Engineering Analysis of the XZ Utils Supply Chain Attack.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Chunhua Liu, Hong Yi Lin, and Patanamon Thongtanunam:
    Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Ziyang Ye, Triet Huynh Minh Le, and M. Ali Babar:
    LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Oussama Ben Sghaier, Martin Weyssow, and Houari A. Sahraoui:
    Harnessing Large Language Models for Curated Code Reviews.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    16 cites at Semantic Scholar
    137% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, and Fernando Castor:
    Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Emna Ksontini, Meriem Mastouri, Rania Khalsi, and Wael Kessentini:
    Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mohammad Talal Jamil, Shamsa Abid, and Shafay Shamail:
    Can LLMs Generate Higher Quality Code Than Humans? An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Julien Malka, Stefano Zacchiroli, and Théo Zimmermann:
    Does Functional Package Management Enable Reproducible Builds at Scale? Yes.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Luis Soeiro, Thomas Robert, and Stefano Zacchiroli:
    Wild SBOMs: A Large-Scale Dataset of Software Bills of Materials from Public Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Samuel Abedu, Laurine Menneron, SayedHassan Khatoonabadi, and Emad Shihab:
    RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Florent Moriconi, Thomas Durieux, Jean-Rémy Falleri, Raphaël Troncy, and Aurélien Francillon:
    GHALogs: Large-Scale Dataset of GitHub Actions Runs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Dingbang Wang, Zhaoxu Zhang, Sidong Feng, William G. J. Halfond, and Tingting Yu:
    An Empirical Study on Leveraging Images in Automated Bug Report Reproduction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Chris Parnin, Gustavo Soares, Rahul Pandita, Sumit Gulwani, Jessica Rich, and Austin Z. Henley:
    Building Your Own Product Copilot: Challenges, Opportunities, and Needs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, and Judy S. Lee:
    How Effective Are Large Language Models in Generating Software Specifications?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhi Chen and Lingxiao Jiang:
    Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub Scenarios.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Louis Milliken, Sungmin Kang, and Shin Yoo:
    Beyond Pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Artur Boronat and Jawad Mustafa:
    MDRE-LLM: A Tool for Analyzing and Applying LLMs in Software Reverse Engineering.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tomás Cerný, Gabriel Goulis, and Amr S. Abdelfattah:
    Towards Change Impact Analysis in Microservices-Based System Evolution.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Henrique Gomes Nunes, Eduardo Figueiredo, Larissa Rocha Soares, Sarah Nadi, Fischer Ferreira, and Geanderson E. dos Santos:
    Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Andrea Gurioli, Maurizio Gabbrielli, and Stefano Zacchiroli:
    Is This You, LLM? Recognizing AI-Written Programs with Multilingual Code Stylometry.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yuqing Wang, Mika V. Mäntylä, Jesse Nyyssölä, Ke Ping, and Liqiang Wang:
    Cross-System Software Log-Based Anomaly Detection Using Meta-Learning.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jiaming Zhang, Chang-Ai Sun, Huai Liu, and Sijin Dong:
    Can Large Language Models Discover Metamorphic Relations? A Large-Scale Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Giordano d'Aloisio, Luca Traini, Federica Sarro, and Antinisca Di Marco:
    On the Compression of Language Models for Code: An Empirical Study on CodeBERT.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yue Liu, Chakkrit Tantithamthavorn, and Li Li:
    Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Youwei Huang, Sen Fang, Jianwen Li, Bin Hu, Jiachun Tao, and Tao Zhang:
    Deep Smart Contract Intent Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Hanan Abdulwahab Siala and Kevin Lano:
    Towards Using LLMs in the Reverse Engineering of Software Systems to Object Constraint Language.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, and Dan Pei:
    AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, and Diego Elias Costa:
    Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, and Tse-Hsun Chen:
    Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos, Brittany Reid, Raula Gaikovina Kula, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, and Thanwadee Sunetnanta:
    On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Iman Saberi, Amirreza Esmaeili, Fatemeh Hendijani Fard, and Fuxiang Chen:
    AdvFusion: Adapter-Based Knowledge Transfer for Code Summarization on Code Language Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Vanshika Singh, Caglar Korlu, and Wesley K. G. Assunção:
    Experiences on Using Large Language Models to Re-Engineer a Legacy System at Volvo Group.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Chris Parnin, Gustavo Soares, Rahul Pandita, Sumit Gulwani, Jessica Rich, and Austin Z. Henley:
    Building Your Own Product Copilot: Challenges, Opportunities, and Needs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, and Judy S. Lee:
    How Effective Are Large Language Models in Generating Software Specifications?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    33 cites at Semantic Scholar
    389% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhi Chen and Lingxiao Jiang:
    Evaluating Software Development Agents: Patch Patterns, Code Quality, and Issue Complexity in Real-World GitHub Scenarios.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Louis Milliken, Sungmin Kang, and Shin Yoo:
    Beyond Pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Artur Boronat and Jawad Mustafa:
    MDRE-LLM: A Tool for Analyzing and Applying LLMs in Software Reverse Engineering.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tomás Cerný, Gabriel Goulis, and Amr S. Abdelfattah:
    Towards Change Impact Analysis in Microservices-Based System Evolution.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    15 cites at Semantic Scholar
    122% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Henrique Gomes Nunes, Eduardo Figueiredo, Larissa Rocha Soares, Sarah Nadi, Fischer Ferreira, and Geanderson E. dos Santos:
    Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Andrea Gurioli, Maurizio Gabbrielli, and Stefano Zacchiroli:
    Is This You, LLM? Recognizing AI-Written Programs with Multilingual Code Stylometry.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yuqing Wang, Mika V. Mäntylä, Jesse Nyyssölä, Ke Ping, and Liqiang Wang:
    Cross-System Software Log-Based Anomaly Detection Using Meta-Learning.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jiaming Zhang, Chang-Ai Sun, Huai Liu, and Sijin Dong:
    Can Large Language Models Discover Metamorphic Relations? A Large-Scale Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Giordano d'Aloisio, Luca Traini, Federica Sarro, and Antinisca Di Marco:
    On the Compression of Language Models for Code: An Empirical Study on CodeBERT.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yue Liu, Chakkrit Tantithamthavorn, and Li Li:
    Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Youwei Huang, Sen Fang, Jianwen Li, Bin Hu, Jiachun Tao, and Tao Zhang:
    Deep Smart Contract Intent Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Hanan Abdulwahab Siala and Kevin Lano:
    Towards Using LLMs in the Reverse Engineering of Software Systems to Object Constraint Language.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, and Dan Pei:
    AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, and Diego Elias Costa:
    Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, and Tse-Hsun Chen:
    Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos, Brittany Reid, Raula Gaikovina Kula, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, and Thanwadee Sunetnanta:
    On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Iman Saberi, Amirreza Esmaeili, Fatemeh Hendijani Fard, and Fuxiang Chen:
    AdvFusion: Adapter-Based Knowledge Transfer for Code Summarization on Code Language Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Vanshika Singh, Caglar Korlu, and Wesley K. G. Assunção:
    Experiences on Using Large Language Models to Re-Engineer a Legacy System at Volvo Group.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, and Federica Sarro:
    How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Riddhi More and Jeremy S. Bradbury:
    Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Antonio Della Porta, Gilberto Recupito, Stefano Lambiase, Dario Di Nucci, and Fabio Palomba:
    Unlocking Code Simplicity: The Role of Prompt Patterns in Managing LLM Code Complexity.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Khushdeep Kaur, Dongchan Kim, Ainaz Jamshidi, and Lei Zhang:
    Identifying Flaky Tests in Quantum Code: A Machine Learning Approach.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Miguel Romero-Arjona, José Antonio Parejo, Juan C. Alonso, Ana Belén Sánchez, Aitor Arrieta, and Sergio Segura:
    AI-Driven Fairness Testing of Large Language Models: A Preliminary Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Bhagya Chembakottu and Martin P. Robillard:
    Usability of Static Application Security Testing Workflows.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Giacomo Ibba, Gavina Baralla, and Giuseppe Destefanis:
    Large Language Models for Synthetic Dataset Generation: A Case Study on Ethereum Smart Contract DoS Vulnerabilities.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Shawal Khalid, Huayu Liang, and Chris Brown:
    Decoding the Influence: Analyzing the Impact of Crypto Signals on Software Repositories.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Matheus de Morais Leça and Ronnie de Souza Santos:
    Towards User-Focused Cross-Domain Testing: Disentangling Accessibility, Usability, and Fairness.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Assoumer Redempta Manzi Muneza, Aidan Keefe, Eric O'Donoghue, Clemente Izurieta, and Ann Marie Reinhold:
    SBOM Generation Tools and Formats Affect Compliance with US Standard.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Alessandra Parziale, Gianmario Voria, Giammaria Giordano, Gemma Catolino, Gregorio Robles, and Fabio Palomba:
    Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Rafiqul Rabin, Sean McGregor, and Nick Judd:
    Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Alexis Butler, Daniel O'Keeffe, and Santanu Kumar Dash:
    Links Between Package Popularity, Criticality, and Security in Software Ecosystems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zhiyang Chen, Jan Gorzny, and Martin Derka:
    Instrumenting Transaction Trace Properties in Smart Contracts: Extending EVM for Real-Time Security.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Farzaneh Dehghani, Pedro V. V. Paiva, Nikita Malik, Joanna Lin, Sayeh Bayat, and Mariana P. Bento:
    Navigating Fairness in Healthcare: A Comparative Analysis of Single-Stage and Multi-Stage Bias Mitigation Strategies.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Maria Ilaria Lunesu, Andrea Pinna, and Alice Zonca:
    Smart Contract-Based Automation for Ephemeral Team Composition.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sadia Afrin Mim, Fatema Tuz Zohra, Justin Smith, and Brittany Johnson:
    An Exploratory Analysis of Available Fairness Interventions in Open Source.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kessia Nepomuceno and Fábio Petrillo:
    Towards Fairness in AI: A Systematic Mapping Study on Software Engineering Solutions.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, and Vladyslav Bulhakov:
    Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Huynh Khanh Vi Tran Blekinge:
    Towards Reliable Eager Test Detection: Practitioner Validation and a Tool Prototype.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Companion, 2025
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, and Valerio Terragni:
    LLMLOOP: Improving LLM-Generated Code and Tests Through Automated Iterative Feedback Loops.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    26 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Steven Cho, Stefano Ruberto, and Valerio Terragni:
    Metamorphic Testing of Large Language Models for Natural Language Processing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Feng Luo, Kexing Ji, Cuiyun Gao, Shuzheng Gao, Jia Feng, Kui Liu, Xin Xia, and Michael R. Lyu:
    Integrating Rules and Semantics for LLM-Based C-to-Rust Translation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    16 cites at Semantic Scholar
    137% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Taher Ahmed Ghaleb and Dulina Rathnayake:
    Can LLMs Write CI? A Study on Automatic Generation of GitHub Actions Configurations.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, and Foutse Khomh:
    A Taxonomy of Inefficiencies in LLM-Generated Python Code.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Saima Afrin, Bowen Xu, and Antonio Mastropaolo:
    Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jens Dietrich, Tim White, Behnaz Hassanshahi, and Paddy Krishnan:
    Levels of Binary Equivalence for the Comparison of Binaries from Alternative Builds.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    13 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Sarmad Bashir, Alessio Ferrari, Abbas Khan, Per Erik Strandberg, Zulqarnain Haider, Mehrdad Saadatmand, and Markus Bohlin:
    Requirements Ambiguity Detection and Explanation with LLMS: An Industrial Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Michael Fu, Jirat Pasuksmit, Kun Chen, and Ming Wu:
    Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Peerachai Banyongrakkul, Mansooreh Zahedi, Patanamon Thongtanunam, Christoph Treude, and Haoyu Gao:
    From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Nitika Chopra and Taher Ahmed Ghaleb:
    From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Wentong Tian, Yuanzhang Lin, Xiang Gao, and Hailong Sun:
    Enhanced Vulnerability Localization: Harmonizing Task-Specific Tuning and General LLM Prompting.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Catherine Tony, Emanuele Iannone, and Riccardo Scandariato:
    Retrieve, Refine, or Both? Using Task-Specific Guidelines for Secure Python Code Generation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    9 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Shweta Ramesh, Joy Bose, Hamender Singh, A K. Raghavan, Sujoy Roy Chowdhury, Giriprasad Sridhara, Nishrith Saini, and Ricardo Britto:
    Automated Code Review Using Large Language Models at Ericsson: An Experience Report.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-Omari, Chanchal K. Roy, Banani Roy, and Kevin A. Schneider:
    Are Classical Clone Detectors Good Enough for the AI Era?
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Abhiram Bellur, Fraol Batole, Mohammed Raihan Ullah, Malinda Dilhara, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, and Danny Dig:
    Together We Are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sergio Di Meglio, Luigi Libero Lucio Starace, Valeria Pontillo, Ruben Opdebeeck, Coen De Roover, and Sergio Di Martino:
    Performance Testing in Open-Source Web Projects: Adoption, Maintenance, and a Change Taxonomy.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Roman Machácek, Anastasiia Grishina, Max Hort, and Leon Moonen:
    The Impact of Fine-Tuning Large Language Models on Automated Program Repair.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Lei Yu, Shiqi Cheng, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Junyi Lu, Li Yang, Fengjun Zhang, and Jiajia Ma:
    SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Manaal Basha, Aimeê M. Ribeiro, Jeena Javahar, Cleidson R. B. de Souza, and Gema Rodríguez-Pérez:
    CodeWatcher: IDE Telemetry Data Extraction Tool for Understanding Coding Interactions with LLMs.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Domenico Cotroneo, Cristina Improta, and Pietro Liguori:
    Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    39 cites at Semantic Scholar
    478% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Weijie Hong, Yifan Wu, Lingzhe Zhang, Chiming Duan, Pei Xiao, Minghua He, Xixuan Yang, and Ying Li:
    CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Andrea Arcuri, Omur Sahin, and Man Zhang:
    Fuzzing for Detecting Access Policy Violations in REST APIs.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Chaoyun Zhang, and Dongmei Zhang:
    An Empirical Study of Production Incidents in Generative AI Cloud Services.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tianyu Cui, Ruowei Fu, Changchang Liu, Yuhe Ji, Wenwei Gu, Shenglin Zhang, Yongqian Sun, and Dan Pei:
    AetherLog: Log-Based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Elena Masserini, Diego Clerissi, Daniela Micucci, João R. Campos, and Leonardo Mariani:
    Towards the Assessment of Task-Based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Xiaohui Nie, Hang Cui, Changhua Pei, Haotian Si, Ke Xiang, Jingjing Li, Yanbiao Li, Gaogang Xie, and Dan Pei:
    DeST: An Unsupervised Decoupled Spatio-Temporal Framework for Microservice Incident Management.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Shenglin Zhang, Xiaoyu Feng, Runzhou Wang, Minghua Ma, Wenwei Gu, Yongqian Sun, Zedong Jia, Jinrui Sun, and Dan Pei:
    Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    4 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chao Ni, Xiaoya Wang, Xin Yin, Liushan Chen, and Guojun Ma:
    A Cascaded Pipeline for Self-Directed, Model-Agnostic Unit Test Generation via LLMs.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rodrigo Pato Nogueira, Marco Vieira, and João R. Campos:
    Beyond Functional Correctness: An Empirical Evaluation of Large Language Models for Text-to-Code Generation.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    3 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Sirine Ilahi, Adebayo Omotosho, and Christian Hammer:
    ShadowGuard: Cryptographic Shadow Stack Protection with XOR Obfuscation and HMAC Integrity.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, and Alexander Egyed:
    Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Francisco Oliveira, Alexandra Mendes, and Carolina Carreira:
    What Challenges Do Developers Face When Using Verification-Aware Programming Languages?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jiayue Tang, Li Yang, Lei Yu, Junyi Lu, Zhirong Huang, Fengjun Zhang, and Chun Zuo:
    Breaking Task Isolation: Enhancing Code Review Automation with Mixture-of-Experts Large Language Models.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Guangdong You, Shuncheng Tang, Jixiang Zhou, Hezhen Liu, Junfang Jiang, Yan-Fu Li, and Yinxing Xue:
    LOFT: An LLM-Enhanced Multi-Objective Search Framework for Fault Injection Testing of Autonomous Driving Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Shenglin Zhang, Yingke Li, Jianjin Tang, Chenyu Zhao, Wenwei Gu, Yongqian Sun, and Dan Pei:
    Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Xinlong Zhao, Tong Jia, Minghua He, Ying Li, and Gang Huang:
    ZeroLog: Zero-Label Generalizable Cross-System Log-Based Anomaly Detection.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    2 cites at Semantic Scholar
    -70% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Bin Duan, Ruican Dong, Naipeng Dong, Dan Dongseong Kim, and Guowei Yang:
    XAMT: Cross-Framework API Matching for Testing Deep Learning Libraries.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    José Wilson Vieira Flauzino, Marco Vieira, and Elias P. Duarte:
    Robustness Assessment of the Open vSwitch Kernel Module.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Bruno Guindani, Matteo Camilli, Livia Lestingi, and Marcello Maria Bersani:
    Detecting Dependability Failures in Healthcare Scenarios via Digital Shadows.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2025
    1 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, and Mayur Naik:
    Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    141 cites at Semantic Scholar
    1988% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shaker Mahmud Khandaker, Fitsum Meshesha Kifetew, Davide Prandi, and Angelo Susi:
    AugmenTest: Enhancing Tests with LLM-Driven Oracles.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    24 cites at Semantic Scholar
    255% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Azat Abdullin, Pouria Derakhshanfar, and Annibale Panichella:
    Test Wars: A Comparative Study of SBST, Symbolic Execution, and LLM-Based Approaches to Unit Test Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    21 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shahin Honarvar, Mark van der Wilk, and Alastair F. Donaldson:
    Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    18 cites at Semantic Scholar
    167% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Maryam, Matteo Biagiola, Andrea Stocco, and Vincenzo Riccio:
    Benchmarking Generative AI Models for Deep Learning Test Input Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Suhwan Ji, Sanghwa Lee, Changsup Lee, Yo-Sub Han, and Hyeonseung Im:
    Impact of Large Language Models of Code on Fault Localization.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    14 cites at Semantic Scholar
    107% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Stefano Carlo Lambertenghi, Hannes Leonhard, and Andrea Stocco:
    Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Christian Birchler, Stefan Klikovits, Mattia Fazzini, and Sebastiano Panichella:
    ICST Tool Competition 2025 - Self-Driving Car Testing Track.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Riddhi More and Jeremy S. Bradbury:
    An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Matteo Biagiola, Gianluca Ghislotti, and Paolo Tonella:
    Improving the Readability of Automatically Generated Tests Using Large Language Models.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Sergio Di Meglio, Luigi Libero Lucio Starace, and Sergio Di Martino:
    E2E-Loader: A Tool to Generate Performance Tests from End-to-End GUI-Level Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Andrea Arcuri, Alexander Poth, and Olsi Rrjolli:
    Introducing Black-Box Fuzz Testing for REST APIs in Industry: Challenges and Solutions.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jeremy S. Bradbury and Riddhi More:
    Addressing Data Leakage in HumanEval Using Combinatorial Test Design.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Ricardo Brancas, Vasco Manquinho, and Ruben Martins:
    Combining Logic and Large Language Models for Assisted Debugging and Repair of ASP Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sajad Mazraeh Khatiri, Tahereh Zohdinasab, Prasun Saurabh, Dmytro Humeniuk, and Sebastiano Panichella:
    ICST Tool Competition 2025 - UAV Testing Track.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yu Pei, Jeongju Sohn, and Mike Papadakis:
    An Empirical Study of Web Flaky Tests: Understanding and Unveiling DOM Event Interaction Challenges.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Daniel Schwendner, Maximilian Jungwirth, Martin Gruber, Martin Knoche, Daniel Merget, and Gordon Fraser:
    Practical Pipeline-Aware Regression Test Optimization for Continuous Integration.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xiaoxiao Gan, Huayu Liang, and Chris Brown:
    Challenges, Strategies, and Impacts: A Qualitative Study on UI Testing in CI/CD Processes from GitHub Developers' Perspectives.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Neetha Jambigi, Bartosz Bogacz, Moritz Mueller, Thomas Bach, and Michael Felderer:
    Fault Localization via Fine-Tuning Large Language Models with Mutation Generated Stack Traces.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ao Li, Rohan Padhye, and Vyas Sekar:
    SPIDER: Fuzzing for Stateful Performance Issues in the ONOS Software-Defined Network Controller.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Alessandro Giagnorio, Alberto Martin-Lopez, and Gabriele Bavota:
    Enhancing Code Generation for Low-Resource Languages: No Silver Bullet.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    23 cites at Semantic Scholar
    241% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Benedetta Donato, Leonardo Mariani, Daniela Micucci, and Oliviero Riganelli:
    Studying How Configurations Impact Code Generation in LLMs: The Case of ChatGPT.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    17 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Hui Li, Zhen Dong, Siao Wang, Hui Zhang, Liwei Shen, Xin Peng, and Dongdong She:
    Extracting Formal Specifications From Documents Using LLMS for Test Automation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Junayed Mahmud, Antu Saha, Oscar Chaparro, Kevin Moran, and Andrian Marcus:
    Combining Language and App Ui Analysis for the Automated Assessment of Bug Reproduction Steps.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yifan Wu, Siyu Yu, and Ying Li:
    Log Parsing Using LLMs with Self-Generated In-Context Learning and Self-Correction.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    12 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Pavlína Wurzel Gonçalves, Pooja Rani, Margaret-Anne D. Storey, Diomidis Spinellis, and Alberto Bacchelli:
    Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    11 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Antonio Vitale, Antonio Mastropaolo, Rocco Oliveto, Massimiliano Di Penta, and Simone Scalabrino:
    Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    10 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, and Kamal Al-Sabahi:
    Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Cristina Improta, Rosalia Tufano, Pietro Liguori, Domenico Cotroneo, and Gabriele Bavota:
    Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sára Juhosová, Andy Zaidman, and Jesper Cockx:
    Pinpointing the Learning Obstacles of an Interactive Theorem Prover.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    8 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Alyssia Chen, Carol Wong, Bonita Sharif, and Anthony Peruma:
    Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Asif Mohammed Samir and Mohammad Masudur Rahman:
    Improved IR-Based Bug Localization with Intelligent Relevance Feedback.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernández, Alexander Boll, Roman Machácek, Sebastiano Panichella, and Timo Kehrer:
    Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    7 cites at Semantic Scholar
    4% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jiangnan Huang and Bin Lin:
    Revisiting Security Practices for Github Actions Workflows.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhengliang Li, Zhiwei Jiang, Qiguo Huang, and Qing Gu:
    LLM-BL: Large Language Models Are Zero-Shot Rankers for Bug Localization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Federica Pepe, Claudia Farkas, Maleknaz Nayebi, Giuliano Antoniol, and Massimiliano Di Penta:
    How Do Papers Make Into Machine Learning Frameworks: A Preliminary Study on Tensorflow.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Barbara Russo, Jorge Melegati, and Moritz Mock:
    Leveraging Multi-Task Learning to Improve the Detection of SATD and Vulnerability.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Markus Weninger, Simon Grünbacher, and Herbert Prähofer:
    JavaWiz: A Trace-Based Graphical Debugger for Software Development Education.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    6 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Natanael Djajadi, Amirhossein Deljouyi, and Andy Zaidman:
    Using Large Language Models to Generate Concise and Understandable Test Case Summaries.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jueun Heo and Seonah Lee:
    A Study on Applying Large Language Models to Issue Classification.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2025
    5 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2024 normalized by age ⌄

  1. 1
    Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, and Brad A. Myers:
    Using an LLM to Help With Code Understanding.
    International Conference on Software Engineering (ICSE), 2024
    669 cites at Semantic Scholar
    3414% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury:
    AutoCodeRover: Autonomous Program Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    391 cites at Semantic Scholar
    1954% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chunqiu Steven Xia and Lingming Zhang:
    Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each Using ChatGPT.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    379 cites at Semantic Scholar
    1891% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang:
    Fuzz4All: Universal Fuzzing with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    349 cites at Semantic Scholar
    1733% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou:
    Evaluating Large Language Models in Class-Level Code Generation.
    International Conference on Software Engineering (ICSE), 2024
    335 cites at Semantic Scholar
    1660% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu:
    GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis.
    International Conference on Software Engineering (ICSE), 2024
    311 cites at Semantic Scholar
    1533% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yinghao Chen, Zehao Hu, Chen Zhi, Junxiao Han, Shuiguang Deng, and Jianwei Yin:
    ChatUniTest: A Framework for LLM-Based Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    305 cites at Semantic Scholar
    1502% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jenny T. Liang, Chenyang Yang, and Brad A. Myers:
    A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges.
    International Conference on Software Engineering (ICSE), 2024
    269 cites at Semantic Scholar
    1313% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, and Shashank Shet:
    CodePlan: Repository-Level Coding Using LLMs and Planning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    247 cites at Semantic Scholar
    1197% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, and Xiangke Liao:
    Large Language Models Are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    240 cites at Semantic Scholar
    1161% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, and Yiling Lou:
    Evaluating and Improving ChatGPT for Unit Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    235 cites at Semantic Scholar
    1134% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, and Eddy Wang:
    Automated Unit Test Improvement Using Large Language Models at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    233 cites at Semantic Scholar
    1124% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Aidan Z. H. Yang, Claire Le Goues, Ruben Martins, and Vincent J. Hellendoorn:
    Large Language Models for Test-Free Fault Localization.
    International Conference on Software Engineering (ICSE), 2024
    225 cites at Semantic Scholar
    1082% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, and Earl T. Barr:
    Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization).
    International Conference on Software Engineering (ICSE), 2024
    220 cites at Semantic Scholar
    1056% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, and Ge Li:
    Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    207 cites at Semantic Scholar
    987% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, and Qing Wang:
    Make LLM a Testing Expert: Bringing Human-Like Interaction to Mobile GUI Testing via Functionality-Aware Decisions.
    International Conference on Software Engineering (ICSE), 2024
    198 cites at Semantic Scholar
    940% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, and Baishakhi Ray:
    Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting Using LLM.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    194 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, and Xin Peng:
    Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study.
    International Conference on Software Engineering (ICSE), 2024
    192 cites at Semantic Scholar
    908% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xin Zhou, Ting Zhang, and David Lo:
    Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    182 cites at Semantic Scholar
    856% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, and Lingming Zhang:
    Large Language Models Are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries.
    International Conference on Software Engineering (ICSE), 2024
    180 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, and Brad A. Myers:
    Using an LLM to Help With Code Understanding.
    International Conference on Software Engineering (ICSE), 2024
    669 cites at Semantic Scholar
    3414% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang:
    Fuzz4All: Universal Fuzzing with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    349 cites at Semantic Scholar
    1733% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou:
    Evaluating Large Language Models in Class-Level Code Generation.
    International Conference on Software Engineering (ICSE), 2024
    335 cites at Semantic Scholar
    1660% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu:
    GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis.
    International Conference on Software Engineering (ICSE), 2024
    311 cites at Semantic Scholar
    1533% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jenny T. Liang, Chenyang Yang, and Brad A. Myers:
    A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges.
    International Conference on Software Engineering (ICSE), 2024
    269 cites at Semantic Scholar
    1313% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, and Xiangke Liao:
    Large Language Models Are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    240 cites at Semantic Scholar
    1161% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Aidan Z. H. Yang, Claire Le Goues, Ruben Martins, and Vincent J. Hellendoorn:
    Large Language Models for Test-Free Fault Localization.
    International Conference on Software Engineering (ICSE), 2024
    225 cites at Semantic Scholar
    1082% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, and Earl T. Barr:
    Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization).
    International Conference on Software Engineering (ICSE), 2024
    220 cites at Semantic Scholar
    1056% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, and Qing Wang:
    Make LLM a Testing Expert: Bringing Human-Like Interaction to Mobile GUI Testing via Functionality-Aware Decisions.
    International Conference on Software Engineering (ICSE), 2024
    198 cites at Semantic Scholar
    940% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, and Xin Peng:
    Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study.
    International Conference on Software Engineering (ICSE), 2024
    192 cites at Semantic Scholar
    908% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xin Zhou, Ting Zhang, and David Lo:
    Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    182 cites at Semantic Scholar
    856% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, and Lingming Zhang:
    Large Language Models Are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries.
    International Conference on Software Engineering (ICSE), 2024
    180 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Sidong Feng and Chunyang Chen:
    Prompting Is All You Need: Automated Android Bug Replay with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    169 cites at Semantic Scholar
    788% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, and Shaowei Wang:
    LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing.
    International Conference on Software Engineering (ICSE), 2024
    140 cites at Semantic Scholar
    635% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, and Tao Xie:
    CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-Trained Models.
    International Conference on Software Engineering (ICSE), 2024
    127 cites at OpenAlex
    567% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, and Pinjia He:
    DivLog: Log Parsing with Prompt Enhanced In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    125 cites at Semantic Scholar
    557% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, and Reyhaneh Jabbarvand:
    Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code.
    International Conference on Software Engineering (ICSE), 2024
    119 cites at OpenAlex
    525% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yuankai Xue, Hanlin Chen, Gina R. Bai, Robert Tairas, and Yu Huang:
    Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    117 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, and Benjamin Livshits:
    Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
    International Conference on Software Engineering (ICSE), 2024
    111 cites at Semantic Scholar
    483% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, and Dongmei Zhang:
    UniLog: Automatic Logging via LLM and In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    110 cites at Semantic Scholar
    478% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, and Brad A. Myers:
    Using an LLM to Help With Code Understanding.
    International Conference on Software Engineering (ICSE), 2024
    669 cites at Semantic Scholar
    3414% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, and Lingming Zhang:
    Fuzz4All: Universal Fuzzing with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    349 cites at Semantic Scholar
    1733% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou:
    Evaluating Large Language Models in Class-Level Code Generation.
    International Conference on Software Engineering (ICSE), 2024
    335 cites at Semantic Scholar
    1660% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu:
    GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis.
    International Conference on Software Engineering (ICSE), 2024
    311 cites at Semantic Scholar
    1533% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jenny T. Liang, Chenyang Yang, and Brad A. Myers:
    A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges.
    International Conference on Software Engineering (ICSE), 2024
    269 cites at Semantic Scholar
    1313% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, and Xiangke Liao:
    Large Language Models Are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    240 cites at Semantic Scholar
    1161% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Aidan Z. H. Yang, Claire Le Goues, Ruben Martins, and Vincent J. Hellendoorn:
    Large Language Models for Test-Free Fault Localization.
    International Conference on Software Engineering (ICSE), 2024
    225 cites at Semantic Scholar
    1082% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, and Earl T. Barr:
    Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization).
    International Conference on Software Engineering (ICSE), 2024
    220 cites at Semantic Scholar
    1056% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, and Qing Wang:
    Make LLM a Testing Expert: Bringing Human-Like Interaction to Mobile GUI Testing via Functionality-Aware Decisions.
    International Conference on Software Engineering (ICSE), 2024
    198 cites at Semantic Scholar
    940% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, and Xin Peng:
    Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study.
    International Conference on Software Engineering (ICSE), 2024
    192 cites at Semantic Scholar
    908% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, and Lingming Zhang:
    Large Language Models Are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries.
    International Conference on Software Engineering (ICSE), 2024
    180 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Sidong Feng and Chunyang Chen:
    Prompting Is All You Need: Automated Android Bug Replay with Large Language Models.
    International Conference on Software Engineering (ICSE), 2024
    169 cites at Semantic Scholar
    788% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, and Shaowei Wang:
    LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing.
    International Conference on Software Engineering (ICSE), 2024
    140 cites at Semantic Scholar
    635% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, and Tao Xie:
    CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-Trained Models.
    International Conference on Software Engineering (ICSE), 2024
    127 cites at OpenAlex
    567% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, and Pinjia He:
    DivLog: Log Parsing with Prompt Enhanced In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    125 cites at Semantic Scholar
    557% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, and Reyhaneh Jabbarvand:
    Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code.
    International Conference on Software Engineering (ICSE), 2024
    119 cites at OpenAlex
    525% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, and Benjamin Livshits:
    Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
    International Conference on Software Engineering (ICSE), 2024
    111 cites at Semantic Scholar
    483% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, and Dongmei Zhang:
    UniLog: Automatic Logging via LLM and In-Context Learning.
    International Conference on Software Engineering (ICSE), 2024
    110 cites at Semantic Scholar
    478% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Benjamin Steenhoek, Hongyang Gao, and Wei Le:
    Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
    International Conference on Software Engineering (ICSE), 2024
    108 cites at Semantic Scholar
    467% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Maliheh Izadi, Jonathan Katzy, Tim van Dam, Marc Otten, Razvan Mihai Popescu, and Arie van Deursen:
    Language Models for Code Completion: A Practical Evaluation.
    International Conference on Software Engineering (ICSE), 2024
    107 cites at Semantic Scholar
    462% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Shaukat Ali:
    Quantum Software Testing 101.
    International Conference on Software Engineering (ICSE): Companion, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Dayi Lin, Filipe Roseiro Côgo, Gopi Krishnan Rajbahadur, and Ahmed E. Hassan:
    Technical Brief on Software Engineering for FMware.
    International Conference on Software Engineering (ICSE): Companion, 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Fatemeh H. Fard:
    Technical Briefing on Parameter Efficient Fine-Tuning of (Large) Language Models for Code-Intelligence.
    International Conference on Software Engineering (ICSE): Companion, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rashina Hoda:
    Technical Briefing on Socio-Technical Grounded Theory for Qualitative Data Analysis.
    International Conference on Software Engineering (ICSE): Companion, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Adel Noureddine:
    Analyzing Software Energy Consumption.
    International Conference on Software Engineering (ICSE): Companion, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Paolo Arcaini, Fuyuki Ishikawa, Lei Ma, Yuta Maezawa, Nobukazu Yoshioka, and Fuyuan Zhang:
    Technical Briefing on Deep Neural Network Repair.
    International Conference on Software Engineering (ICSE): Companion, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Arkadii Sapozhnikov, Mitchell Olsthoorn, Annibale Panichella, Vladimir Kovalenko, and Pouria Derakhshanfar:
    TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    47 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sajad Khatiri, Sebastiano Panichella, and Paolo Tonella:
    Simulation-Based Testing of Unmanned Aerial Vehicles with Aerialist.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nuno Saavedra, André Silva, and Martin Monperrus:
    GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Lev Sorokin, Tiziano Munaro, Damir Safin, Brian Hsuan-Cheng Liao, and Adam Molin:
    OpenSBT: A Modular Framework for Search-Based Testing of Automated Driving Systems.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, and Toby Jia-Jun Li:
    CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Michael Ferdinando Urrico, Diego Clerissi, and Leonardo Mariani:
    MutaBot: A Mutation Testing Approach for Chatbots.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Georgios Alexopoulos and Dimitris Mitropoulos:
    Nvshare: Practical GPU Sharing Without Memory Size Constraints.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Michael Assad, Christopher S. Meiklejohn, Heather Miller, and Stephan Krusche:
    Can My Microservice Tolerate an Unreliable Database? Resilience Testing with Fault Injection and Visualization.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Kristóf Marussy, Attila Ficsor, Oszkár Semeráth, and Dániel Varró:
    Refinery: Graph Solver as a Service: Refinement-Based Generation and Analysis of Consistent Models.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, and Eric Bodden:
    TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference Tools.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    André C. Hora:
    SpotFlow: Tracking Method Calls and States at Runtime.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Liam Todd, John Grundy, and Christoph Treude:
    GitHubInclusifier: Finding and Fixing Non-Inclusive Language in GitHub Repositories.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Wenhan Feng, Qiugen Pei, Yu Gao, Dong Wang, Wensheng Dou, Jun Wei, Zheheng Liang, and Zhenyue Long:
    FaultFuzz: A Coverage Guided Fault Injection Tool for Distributed Systems.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Wei Minn, Yan Naing Tun, Lwin Khin Shar, and Lingxiao Jiang:
    DronLomaly: Runtime Log-Based Anomaly Detector for DJI Drones.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mohammed Oualid Attaoui, Fabrizio Pastore, and Lionel C. Briand:
    SAFE: Safety Analysis and Retraining of DNNs.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tarek Mahmud, Meiru Che, Jihan Rouijel, Mujahid Khan, and Guowei Yang:
    APICIA: An API Change Impact Analyzer for Android Apps.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Rijnard van Tonder:
    Verifying and Displaying Move Smart Contract Source Code for the Sui Blockchain.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Mustafa Al-Lail, Antonio Rosales Viesca, Hector Cardenas, Mohammad Zarour, and Alfredo J. Perez:
    TPV: A Tool for Validating Temporal Properties in UML Class Diagrams.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Eman Abdullah AlOmar, Benjamin Knobloch, Thomas Kain, Christopher Kalish, Mohamed Wiem Mkaouer, and Ali Ouni:
    AntiCopyPaster 2.0: Whitebox Just-in-Time Code Duplicates Extraction.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, Sicco Verwer, Annibale Panichella, and Riccardo Scandariato:
    CATMA: Conformance Analysis Tool For Microservice Applications.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, and Qing Liao:
    ReposVul: A Repository-Level High-Quality Vulnerability Dataset.
    International Conference on Software Engineering (ICSE): Industry, 2024
    91 cites at Semantic Scholar
    378% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuxiao Chen, Jingzheng Wu, Xiang Ling, Changjiang Li, Zhiqing Rui, Tianyue Luo, and Yanjun Wu:
    When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?
    International Conference on Software Engineering (ICSE): Industry, 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ying Fu, Teng Wang, Shanshan Li, Jinyan Ding, Shulin Zhou, Zhouyang Jia, Wang Li, Yu Jiang, and Xiangke Liao:
    MissConf: LLM-Enhanced Reproduction of Configuration-Triggered Bugs.
    International Conference on Software Engineering (ICSE): Industry, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Xin Zhou, Ting Zhang, and David Lo:
    Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    182 cites at Semantic Scholar
    856% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    June Sallou, Thomas Durieux, and Annibale Panichella:
    Breaking the Silence: The Threats of Using LLMs in Software Engineering.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    91 cites at OpenAlex
    378% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Myeongsoo Kim, Tyler Stennett, Dhruv Shah, Saurabh Sinha, and Alessandro Orso:
    Leveraging Large Language Models to Improve REST API Testing.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    57 cites at Semantic Scholar
    199% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shyamal Mishra and Preetha Chatterjee:
    Exploring ChatGPT for Toxicity Detection in GitHub.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    29 cites at Semantic Scholar
    52% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Julien Malka, Stefano Zacchiroli, and Théo Zimmermann:
    Reproducibility of Build Environments Through Space and Time.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Satrio Adi Rukmono, Lina Ochoa, and Michel Chaudron:
    Deductive Software Architecture Recovery via Chain-of-Thought Prompting.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    18 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jiabo Wang, Guojun Chu, Jingyu Wang, Haifeng Sun, Qi Qi, Yuanyi Wang, Ji Qi, and Jianxin Liao:
    LogExpert: Log-Based Recommended Resolutions Generation Using Large Language Model.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Naoto Sato and Ryota Katsube:
    Locating Buggy Segments in Quantum Program Debugging.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Lina Boughton, Courtney Miller, Yasemin Acar, Dominik Wermke, and Christian Kästner:
    Decomposing and Measuring Trust in Open-Source Software Supply Chains.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zerui Wang, Yan Liu, Abishek Arumugam Thiruselvi, and Abdelwahab Hamou-Lhadj:
    XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mohammed Latif Siddiq, Jiahao Zhang, Lindsay Roney, and Joanna C. S. Santos:
    Re(gEx DoS)Eval: Evaluating Generated Regular Expressions and Their Proneness to DoS Attacks.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, and Denys Poshyvanyk:
    Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Marcel Homolka, Luciano Marchezan, Wesley K. G. Assunção, and Alexander Egyed:
    "Don't Touch My Model!" Towards Managing Model History and Versions During Metamodel Evolution.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Daniel Maninger, Krishna Narasimhan, and Mira Mezini:
    Towards Trustworthy AI Software Development Assistance.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, and Patricia Lago:
    Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mahta Amini, Jay Olson, and Zohreh Sharafi:
    Coding with a Creative Twist: Investigating the Link Between Creativity Scores and Problem-Solving Strategies.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Mootez Saad and Tushar Sharma:
    Naturalness of Attention: Revisiting Attention in Code Language Models.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kasra Darvishi, Morteza Noferesti, and Naser Ezzati-Jivan:
    Toward Adaptive Tracing: Efficient System Behavior Analysis Using Language Models.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Vasileios Klimis, Alastair F. Donaldson, Viktor Vafeiadis, John Wickerson, and Azalea Raad:
    Challenges in Empirically Testing Memory Persistency Models.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Renan Lima Baima, Loïck Chovet, Johannes Sedlmeir, Miguel A. Olivares-Méndez, and Gilbert Fridgen:
    Designing Trustful Cooperation Ecosystems Is Key to the New Space Exploration Era.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Yuankai Xue, Hanlin Chen, Gina R. Bai, Robert Tairas, and Yu Huang:
    Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    117 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Eduard Frankford, Clemens Sauerwein, Patrick Bassner, Stephan Krusche, and Ruth Breu:
    AI-Tutoring in Software Engineering Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    73 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, and Mei Kuan Lim:
    Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    72 cites at Semantic Scholar
    278% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Bruno Pereira Cipriano and Pedro Alves:
    LLMs Still Can't Avoid Instanceof: An Investigation Into GPT-3.5, GPT-4 and Bard's Capacity to Handle Object-Oriented Programming Assignments.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    27 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Teemu Lehtinen, Charles Koutcheme, and Arto Hellas:
    Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    24 cites at Semantic Scholar
    26% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Timur Saglam, Sebastian Hahner, Larissa Schmid, and Erik Burger:
    Automated Detection of AI-Obfuscated Plagiarism in Modeling Assignments.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    21 cites at Semantic Scholar
    10% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lina Boman, Jonatan Andersson, and Francisco Gomes de Oliveira Neto:
    Breaking Barriers: Investigating the Sense of Belonging Among Women and Non-Binary Students in Software Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    P. D. Parthasarathy and Swaroop Joshi:
    Exploring the Need of Accessibility Education in the Software Industry: Insights from a Survey of Software Professionals in India.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Philipp Straubinger and Gordon Fraser:
    Gamifying a Software Testing Course with Continuous Integration.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Vivian van der Werf, Alaaeddin Swidan, Felienne Hermans, Marcus Specht, and Efthimia Aivaloglou:
    Teachers' Beliefs and Practices on the Naming of Variables in Introductory Python Programming Courses.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Maria Alcimar Costa Meireles, Sabrina Rocha, José Carlos Maldonado, and Tayana Conte:
    An Experience Report on the Use of Active Learning in Empirical Software Engineering Education: Understanding the Pros and Cons from the Student's Perspective.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Niklas Meißner, Nadine Nicole Koch, Sandro Speth, Uwe Breitenbücher, and Steffen Becker:
    Unveiling Hurdles in Software Engineering Education: The Role of Learning Management Systems.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Sabato Nocera, Simone Romano, Rita Francese, and Giuseppe Scanniello:
    Training for Security: Results from Using a Static Analysis Tool in the Development Pipeline of Web Apps.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    P. D. Parthasarathy and Swaroop Joshi:
    Teaching Digital Accessibility to Industry Professionals Using the Community of Practice Framework: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Hua Leong Fwa:
    Experience Report: Identifying Common Misconceptions and Errors of Novice Programmers with ChatGPT.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    7 cites at OpenAlex
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Elaine Venson and Reem Alfayez:
    Bridging Theory to Practice in Software Testing Teaching Through Team-Based Learning (TBL) and Open Source Software (OSS) Contribution.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Giusy Annunziata, Stefano Lambiase, Fabio Palomba, and Filomena Ferrucci:
    SERGE - Serious Game for the Education of Risk Management in Software Project Management.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Isabella Graßl and Gordon Fraser:
    Equitable Student Collaboration in Pair Programming.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Christopher D. Hundhausen, Phillip T. Conrad, Ahsun Tariq, Surya Pugal, and Brian Zamora Flores:
    An Empirical Study of the Content and Quality of Sprint Retrospectives in Undergraduate Team Software Projects.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Solal Pirelli:
    Scalable Teaching of Software Engineering Theory and Practice: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas, Gustavo Quiros Araya, Oluwatosin Ogundare, and Mohammad Abdullah Al Faruque:
    LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    80 cites at Semantic Scholar
    320% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, and Simon See:
    Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    52 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nicole Davila, Igor Wiese, Igor Steinmacher, Lucas Lucio da Silva, Andre Kawamoto, Gilson Jose Peres Favaro, and Ingrid Nunes:
    An Industry Case Study on Adoption of AI-Based Programming Assistants.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    46 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Alexander Frömmgen, Jacob Austin, Peter Choy, Nimesh Ghelani, Lera Kharatyan, Gabriela Surita, Elena Khrapko, Pascal Lamblin, Pierre-Antoine Manzagol, Marcus Revaj, Maxim Tabachnyk, Daniel Tarlow, Kevin Villela, Daniel Zheng, Satish Chandra, and Petros Maniatis:
    Resolving Code Review Comments with Machine Learning.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    🏆 Distinguished Paper
    46 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yuanhang Zhou, Jingxuan Sun, Fuchen Ma, Yuanliang Chen, Zhen Yan, and Yu Jiang:
    Stop Pulling My Rug: Exposing Rug Pull Risks in Crypto Token to Investors.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, and Xianying Zhu:
    CodeFuse-13B: A Pretrained Multi-Lingual Code Large Language Model.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    31 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yewei Song, Saad Ezzini, Xunzhu Tang, Cedric Lothritz, Jacques Klein, Tegawendé F. Bissyandé, Andrey Boytsov, Ulrick Ble, and Anne Goujon:
    Enhancing Text-to-SQL Translation for Financial System Design.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    28 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, and Michael R. Lyu:
    Knowledge-Aware Alert Aggregation in Large-Scale Cloud Systems: A Hybrid Approach.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    25 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, and Michael R. Lyu:
    FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-Scale Cloud Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    22 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    David Williams, James Callan, Serkan Kirbas, Sergey Mechtaev, Justyna Petke, Thomas Prideaux-Ghee, and Federica Sarro:
    User-Centric Deployment of Automated Program Repair at Bloomberg.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    🏆 Distinguished Paper
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Kostya Serebryany, Chris Kennelly, Mitch Phillips, Matthew Denton, Marco Elver, Alexander Potapenko, Matt Morehouse, Vlad Tsyrklevich, Christian Holler, Julian Lettner, David Kilzer, and Lander Brandt:
    GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    🏆 Distinguished Paper
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Gustavo Pinto, Cleidson R. B. de Souza, João Batista Neto, Alberto de Souza, Tarcísio Gotto, and Edward Monteiro:
    Lessons from Building StackSpot AI: A Contextualized AI Coding Assistant.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Markus Voggenreiter, Florian Angermeir, Fabiola Moyon, Ulrich Schöpp, and Pierre Bonvin:
    Automated Security Findings Management: A Case Study in Industrial DevOps.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marko Ivankovic, Goran Petrovic, Yana Kulizhskaya, Mateusz Lewko, Luka Kalinovcic, René Just, and Gordon Fraser:
    Productive Coverage: Improving the Actionability of Code Coverage.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, and Saravan Rajmohan:
    Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Shengyu Zhao, Xiaoya Xia, Brian Fitzgerald, Xiaozhou Li, Valentina Lenarduzzi, Davide Taibi, Rong Wang, Wei Wang, and Chunqi Tian:
    OpenRank Leaderboard: Motivating Open Source Collaborations Through Social Network Evaluation in Alibaba.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shannon K. Gallagher, Jasmine Ratchford, Tyler Brooks, Bryan P. Brown, Eric Heim, William R. Nichols, Scott McMillan, Swati Rallapalli, Carol J. Smith, Nathan M. VanHoudnos, Nick Winski, and Andrew O. Mellinger:
    Assessing LLMs for High Stakes Applications.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yongxiang Hu, Hailiang Jin, Xuan Wang, Jiazhen Gu, Shiyu Guo, Chaoyi Chen, Xin Wang, and Yangfan Zhou:
    AutoConsis: Automatic GUI-Driven Data Inconsistency Detection of Mobile Apps.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Ke Mao, Cons T. Åhs, Sopot Cela, Dino Distefano, Nick Gardner, Radu Grigore, Per Gustafsson, Ákos Hajdu, Timotej Kapus, Matteo Marescotti, Gabriela Cunha Sampaio, and Thibault Suzanne:
    PrivacyCAT: Privacy-Aware Code Analysis at Scale.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Fabiola Moyón, Florian Angermeir, and Daniel Méndez:
    Industrial Challenges in Secure Continuous Development.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, and David Lo:
    Greening Large Language Models of Code.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Heli Järvenpää, Patricia Lago, Justus Bogner, Grace A. Lewis, Henry Muccini, and Ipek Ozkaya:
    A Synthesis of Green Architectural Tactics for ML-Enabled Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    48 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Grischa Liebel, Noah Langlois, and Kiev Gama:
    Challenges, Strengths, and Strategies of Software Engineers with ADHD: A Case Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    26 cites at Semantic Scholar
    37% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, and Alberto Bacchelli:
    Energy Patterns for Web: An Exploratory Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Paloma Guenes, Rafael Tomaz, Marcos Kalinowski, Maria Teresa Baldassarre, and Margaret-Anne D. Storey:
    Impostor Phenomenon in Software Engineers.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tatalina Oliveira, Ann Barcomb, Ronnie Edson de Souza Santos, Helda Barros, Maria Teresa Baldassarre, and César França:
    Navigating the Path of Women in Software Engineering: From Academia to Industry.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wei Wang, Hourieh Khalajzadeh, John C. Grundy, Anuradha Madugalla, and Humphrey O. Obie:
    Adaptive User Interfaces for Software Supporting Chronic Disease.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ramandeep Singh Dehal, Mehak Sharma, and Ronnie Edson de Souza Santos:
    Exposing Algorithmic Discrimination and Its Consequences in Modern Society: Insights from a Scoping Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Deepika Tiwari, Tim Toady, Martin Monperrus, and Benoit Baudry:
    With Great Humor Comes Great Developer Engagement.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Marvin Wyrich and Justus Bogner:
    Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    🏆 Distinguished Paper
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Michael Wahler, Norbert Seyff, and Maria Susana Soriano Ramirez:
    Exploring Assessment Criteria for Sustainable Software Engineering Processes.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Francesco Sovrano, Michaël Lognoul, and Alberto Bacchelli:
    An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xin Zhao and Narissa Tsuboi:
    Early Career Software Developers - Are You Sinking or Swimming?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Usman Gohar, Michael C. Hunter, Agnieszka Marczak-Czajka, Robyn R. Lutz, Myra B. Cohen, and Jane Cleland-Huang:
    Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Tu Le, Dongfang Zhao, Zihao Wang, XiaoFeng Wang, and Yuan Tian:
    Alexa, Is the Skill Always Safe? Uncover Lenient Skill Vetting Process and Protect User Privacy at Run Time.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Stefano Lambiase, Gemma Catolino, Bice Della Piana, Filomena Ferrucci, and Fabio Palomba:
    Dealing With Cultural Dispersion: A Novel Theoretical Framework for Software Engineering Research and Practice.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ruzanna Chitchyan:
    What Can Requirements Engineering Do for Emerging System of Systems? Case of Smart Local Energy.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Valentin Markulj, Kousar Aslam, and Emitzá Guzmán:
    Micro-Inequities and Immigration Backgrounds in the Software Industry.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Yinghao Chen, Zehao Hu, Chen Zhi, Junxiao Han, Shuiguang Deng, and Jianwei Yin:
    ChatUniTest: A Framework for LLM-Based Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    305 cites at Semantic Scholar
    1502% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, and Shashank Shet:
    CodePlan: Repository-Level Coding Using LLMs and Planning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    247 cites at Semantic Scholar
    1197% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, and Yiling Lou:
    Evaluating and Improving ChatGPT for Unit Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    235 cites at Semantic Scholar
    1134% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, and Eddy Wang:
    Automated Unit Test Improvement Using Large Language Models at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    233 cites at Semantic Scholar
    1124% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, and Ge Li:
    Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    207 cites at Semantic Scholar
    987% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, and Baishakhi Ray:
    Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting Using LLM.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    194 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Sungmin Kang, Gabin An, and Shin Yoo:
    A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    176 cites at Semantic Scholar
    824% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, and Qing Wang:
    ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    152 cites at Semantic Scholar
    698% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, and Saravan Rajmohan:
    Exploring LLM-Based Agents for Root Cause Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    149 cites at Semantic Scholar
    683% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, and Michael R. Lyu:
    LILAC: Log Parsing Using LLMs with Adaptive Parsing Cache.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    141 cites at Semantic Scholar
    641% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, and Omer Tripp:
    A Deep Dive into Large Language Models for Automated Bug Localization and Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    129 cites at Semantic Scholar
    578% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ranim Khojah, Mazen Mohamad, Philipp Leitner, and Francisco Gomes de Oliveira Neto:
    Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    123 cites at Semantic Scholar
    546% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, and Shuvendu K. Lahiri:
    Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    117 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Md Rakib Hossain Misu, Cristina V. Lopes, Iris Ma, and James Noble:
    Towards AI-Assisted Synthesis of Verified Dafny Methods.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    100 cites at Semantic Scholar
    425% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, and Saravan Rajmohan:
    Automated Root Causing of Cloud Incidents Using In-Context Learning with GPT-4.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    86 cites at Semantic Scholar
    352% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, and Sriram K. Rajamani:
    CORE: Resolving Code Quality Issues Using LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    76 cites at Semantic Scholar
    299% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Max Landauer, Florian Skopik, and Markus Wurzenberger:
    A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    63 cites at Semantic Scholar
    231% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Luan Pham, Huong Ha, and Hongyu Zhang:
    BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    62 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, and Yu Jiang:
    Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    56 cites at Semantic Scholar
    194% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei (Justina) Lin, Wali Mohammad Abdullah, and Zhen Ming (Jack) Jiang:
    Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, and Shashank Shet:
    CodePlan: Repository-Level Coding Using LLMs and Planning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    247 cites at Semantic Scholar
    1197% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, and Yiling Lou:
    Evaluating and Improving ChatGPT for Unit Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    235 cites at Semantic Scholar
    1134% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, and Ge Li:
    Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    207 cites at Semantic Scholar
    987% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, and Baishakhi Ray:
    Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting Using LLM.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    194 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Sungmin Kang, Gabin An, and Shin Yoo:
    A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    176 cites at Semantic Scholar
    824% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, and Qing Wang:
    ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    152 cites at Semantic Scholar
    698% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, and Michael R. Lyu:
    LILAC: Log Parsing Using LLMs with Adaptive Parsing Cache.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    141 cites at Semantic Scholar
    641% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, and Omer Tripp:
    A Deep Dive into Large Language Models for Automated Bug Localization and Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    129 cites at Semantic Scholar
    578% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ranim Khojah, Mazen Mohamad, Philipp Leitner, and Francisco Gomes de Oliveira Neto:
    Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    123 cites at Semantic Scholar
    546% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, and Shuvendu K. Lahiri:
    Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    117 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Md Rakib Hossain Misu, Cristina V. Lopes, Iris Ma, and James Noble:
    Towards AI-Assisted Synthesis of Verified Dafny Methods.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    100 cites at Semantic Scholar
    425% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, and Sriram K. Rajamani:
    CORE: Resolving Code Quality Issues Using LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    76 cites at Semantic Scholar
    299% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Max Landauer, Florian Skopik, and Markus Wurzenberger:
    A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    63 cites at Semantic Scholar
    231% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Luan Pham, Huong Ha, and Hongyu Zhang:
    BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    62 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, and Yixiang Chen:
    Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    🏆 Distinguished Paper
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zexu Wang, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, and Zibin Zheng:
    Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    52 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, and Peter C. Rigby:
    AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, and Michael R. Lyu:
    Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Malinda Dilhara, Abhiram Bellur, Timofey Bryksin, and Danny Dig:
    Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    42 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yuxi Li, Yi Liu, Gelei Deng, Ying Zhang, Wenjia Song, Ling Shi, Kailong Wang, Yuekang Li, Yang Liu, and Haoyu Wang:
    Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2024
    41 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Yinghao Chen, Zehao Hu, Chen Zhi, Junxiao Han, Shuiguang Deng, and Jianwei Yin:
    ChatUniTest: A Framework for LLM-Based Test Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    305 cites at Semantic Scholar
    1502% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Andrey Sokolov, Timofey Bryksin, and Danny Dig:
    EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    47 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yonghao Wu, Zheng Li, Jie M. Zhang, and Yong Liu:
    ConDefects: A Complementary Dataset to Address the Data Leakage Concern for LLM-Based Fault Localization and Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Marius Smytzek, Martin Eberlein, Batuhan Serce, Lars Grunske, and Andreas Zeller:
    Tests4Py: A Benchmark for System Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Pedro Carrott, Nuno Saavedra, Kyle Thompson, Sorin Lerner, João F. Ferreira, and Emily First:
    CoqPyt: Proof Navigation in Python in the Era of LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Pau Duran, Joel Castaño, Cristina Gómez, and Silverio Martínez-Fernández:
    GAISSALabel: A Tool for Energy Labeling of ML Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ke Wang, Yue Li, Che Wang, Jianbo Gao, Zhi Guan, and Zhong Chen:
    XGuard: Detecting Inconsistency Behaviors of Crosschain Bridges.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jordan Samhi and Andreas Zeller:
    AndroLog: Android Instrumentation and Code Coverage Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yu Nong, Haoran Yang, Feng Chen, and Haipeng Cai:
    VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Wren McQueary, Sadia Afrin Mim, Md. Nishat Raihan, Justin Smith, and Brittany Johnson:
    Py-Holmes: Causal Testing for Deep Neural Networks in Python.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yu Liu, Aditya Thimmaiah, Owolabi Legunsen, and Milos Gligoric:
    ExLi: An Inline-Test Generation Tool for Java.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Oscar Manglaras, Alex Farkas, Peter Fule, Christoph Treude, and Markus Wagner:
    MicroKarta: Visualising Microservice Architectures.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Fabian Stolp, Malte Stellmacher, and Bert Arnrich:
    CognitIDE: An IDE Plugin for Mapping Physiological Measurements to Source Code.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zhao Zhang, Yican Sun, Ruyi Ji, Siyuan Li, Xuanyu Peng, Zhechong Huang, Sizhe Li, Tianran Zhu, and Yingfei Xiong:
    ASAC: A Benchmark for Algorithm Synthesis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    André C. Hora:
    PathSpotter: Exploring Tested Paths to Discover Missing Tests.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ridhi Jain, Norbert Tihanyi, Mthandazo Ndhlovu, Mohamed Amine Ferrag, and Lucas C. Cordeiro:
    Rapid Taint Assisted Concolic Execution (TACE).
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sai Krishna Avula and Shouvick Mondal:
    MineCPP: Mining Bug Fix Pairs and Their Structures.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Timo Kehrer, and Thomas Thüm:
    Variability-Aware Differencing with DiffDetective.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    🏆 Distinguished Paper
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Federico Formica, Mohammad Mahdi Mahboob, Mehrnoosh Askarpour, and Claudio Menghi:
    ATheNA-S: A Testing Tool for Simulink Models Driven by Software Requirements and Domain Expertise.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Shuai Wang, Xinyu Lian, Qingyu Li, Darko Marinov, and Tianyin Xu:
    Ctest4J: A Practical Configuration Testing Framework for Java.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Ideas, Visions, and Reflections (IVR) ⌄

  1. 1
    Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, and Yu Jiang:
    Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    56 cites at Semantic Scholar
    194% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, and Quan Zhang:
    When Fuzzing Meets LLMs: Challenges and Opportunities.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    42 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Justyna Petke, Matias Martinez, Maria Kechagia, Aldeida Aleti, and Federica Sarro:
    The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xi Zheng, Aloysius K. Mok, Ruzica Piskac, Yong Jae Lee, Bhaskar Krishnamachari, Dakai Zhu, Oleg Sokolsky, and Insup Lee:
    Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Leon Bettscheider and Andreas Zeller:
    Look Ma, No Input Samples! Mining Input Grammars from Code with Symbolic Parsing.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    André C. Hora:
    Test Polarity: Detecting Positive and Negative Tests.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Edson OliveiraJr, Fernanda Madeiral, Alcemir Rodrigues Santos, Christina von Flach, and Sérgio Soares:
    A Vision on Open Science for the Evolution of Software Engineering Research and Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zara Hassan, Christoph Treude, Michael Norrish, Graham J. Williams, and Alex Potanin:
    Reproducibility Debt: Challenges and Future Pathways.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    André C. Hora:
    Predicting Test Results Without Execution.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yiran Wang, José Antonio Hernández López, Ulf Nilsson, and Dániel Varró:
    Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Li Huang, Bertrand Meyer, Ilgiz Mustafin, and Manuel Oriol:
    Execution-Free Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    André C. Hora:
    Monitoring the Execution of 14K Tests: Methods Tend to Have One Path That Is Significantly More Executed.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Nafiz Imtiaz Khan and Vladimir Filkov:
    From Models to Practice: Enhancing OSS Project Sustainability with Evidence-Based Advice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Philémon Houdaille, Djamel Eddine Khelladi, Benoît Combemale, and Gunter Mussbacher:
    On Polyglot Program Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sana Belguith, Inah Omoronyia, and Ruzanna Chitchyan:
    Personal Data-Less Personalized Software Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Jie JW Wu:
    AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Dimitrios Platis, Linda Erlenhov, and Francisco Gomes de Oliveira Neto:
    The Lion, the Ecologist and the Plankton: A Classification of Species in Multi-Bot Ecosystems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ivan Postolski, Víctor A. Braberman, Diego Garbervetsky, and Sebastián Uchitel:
    Verification of Programs with Common Fragments.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Issam Sedki:
    A Preliminary Study on the Privacy Concerns of Using IP Addresses in Log Data.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2024
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, and Eddy Wang:
    Automated Unit Test Improvement Using Large Language Models at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    233 cites at Semantic Scholar
    1124% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, and Saravan Rajmohan:
    Exploring LLM-Based Agents for Root Cause Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    149 cites at Semantic Scholar
    683% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, and Saravan Rajmohan:
    Automated Root Causing of Cloud Incidents Using In-Context Learning with GPT-4.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    86 cites at Semantic Scholar
    352% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei (Justina) Lin, Wali Mohammad Abdullah, and Zhen Ming (Jack) Jiang:
    Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, and Saravan Rajmohan:
    X-Lifecycle Learning for Cloud Incident Management Using LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    50 cites at Semantic Scholar
    163% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, and Dongmei Zhang:
    MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    40 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhenhe Yao, Changhua Pei, Wenxiao Chen, Hanzhang Wang, Liangfei Su, Huai Jiang, Zhe Xie, Xiaohui Nie, and Dan Pei:
    Chain-of-Event: Interpretable Root Cause Analysis for Microservices Through Automatically Learning Weighted Event Causal Graph.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    32 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, and Saravan Rajmohan:
    LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    29 cites at Semantic Scholar
    52% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, and Nachiappan Nagappan:
    Multi-Line AI-Assisted Code Authoring.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    27 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Asmar Muqeet, Shaukat Ali, Tao Yue, and Paolo Arcaini:
    A Machine Learning-Based Error Mitigation Approach for Reliable Software Development on IBM's Quantum Computers.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    25 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Komal Sarda, Zakeya Namrud, Marin Litoiu, Larisa Shwartz, and Ian Watts:
    Leveraging Large Language Models for the Auto-Remediation of Microservice Applications: An Experimental Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    25 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nadia Alshahwan, Mark Harman, Alexandru Marginean, Rotem Tal, and Eddy Wang:
    Observation-Based Unit Test Generation at Meta.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Chao Liu, Xindong Zhang, Hongyu Zhang, Zhiyuan Wan, Zhan Huang, and Meng Yan:
    An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Szymon Stradowski and Lech Madeyski:
    Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xinyi Wang, Shaukat Ali, Aitor Arrieta, Paolo Arcaini, and Maite Arratibel:
    Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Jie Liang, Mingzhe Wang, Chijin Zhou, Zhiyong Wu, Jianzhong Liu, and Yu Jiang:
    Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Craig Disselkoen, Aaron Eline, Shaobo He, Kyle Headley, Michael Hicks, Kesha Hietala, John H. Kastner, Anwar Mamat, Matt McCutchen, Neha Rungta, Bhakti Shah, Emina Torlak, and Andrew Wells:
    How We Built Cedar: A Verification-Guided Approach.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shenglin Zhang, Yongxin Zhao, Xiao Xiong, Yongqian Sun, Xiaohui Nie, Jiacheng Zhang, Fenglai Wang, Xian Zheng, Yuzhi Zhang, and Dan Pei:
    Illuminating the Gray Zone: Non-Intrusive Gray Failure Localization in Server Operating Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yang Hong, Chakkrit Tantithamthavorn, Jirat Pasuksmit, Patanamon Thongtanunam, Arik Friedman, Xing Zhao, and Anton Krasikov:
    Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Mert Toslali, Edward C. Snible, Jing Chen, Alan Cha, Sandeep Singh, Michael H. Kalantar, and Srinivasan Parthasarathy:
    AgraBOT: Accelerating Third-Party Security Risk Management in Enterprise Setting Through Generative AI.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, and Junjie Chen:
    On the Evaluation of Large Language Models in Unit Test Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    137 cites at Semantic Scholar
    620% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zejun Wang, Kaibo Liu, Ge Li, and Zhi Jin:
    HITS: High-Coverage LLM-Based Unit Test Generation via Method Slicing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    131 cites at Semantic Scholar
    588% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Noble Saji Mathews and Meiyappan Nagappan:
    Test-Driven Development and LLM-Based Code Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    85 cites at Semantic Scholar
    346% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Luan Pham, Huong Ha, and Hongyu Zhang:
    Root Cause Analysis for Microservice System Based on Causal Inference: How Far Are We?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    62 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Di Wu, Fangwen Mu, Lin Shi, Zhaoqiang Guo, Kui Liu, Weiguang Zhuang, Yuqi Zhong, and Li Zhang:
    iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    60 cites at Semantic Scholar
    215% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, and Qianxiang Wang:
    GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-Fine Retrieval Based on Code Context Graph.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    56 cites at Semantic Scholar
    194% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Cong Wu, Jing Chen, Ziwei Wang, Ruichao Liang, and Ruiying Du:
    Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Guangyuan Wu, Weining Cao, Yuan Yao, Hengfeng Wei, Taolue Chen, and Xiaoxing Ma:
    LLM Meets Bounded Model Checking: Neuro-Symbolic Loop Invariant Inference.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jiachi Chen, Qingyuan Zhong, Yanlin Wang, Kaiwen Ning, Yongkun Liu, Zenan Xu, Zhe Zhao, Ting Chen, and Zibin Zheng:
    RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Huan Zhang, Wei Cheng, Yuhan Wu, and Wei Hu:
    A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    46 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jian Zhao, Shenao Wang, Yanjie Zhao, Xinyi Hou, Kailong Wang, Peiming Gao, Yuanchao Zhang, Chen Wei, and Haoyu Wang:
    Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-Trained Model Hubs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zongze Jiang, Ming Wen, Jialun Cao, Xuanhua Shi, and Hai Jin:
    Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    🏆 Distinguished Paper
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang, and Dan Pei:
    ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yin Wu, Xiaofei Xie, Chenyang Peng, Dijun Liu, Hao Wu, Ming Fan, Ting Liu, and Haijun Wang:
    AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, and John Grundy:
    What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    42 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, Lei Lei, Yuan Zhou, and Yinxing Xue:
    LeGEND: A Top-Down Approach to Scenario Generation of Autonomous Driving Systems Assisted by Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    41 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yongqi Han, Qingfeng Du, Ying Huang, Jiaqi Wu, Fulong Tian, and Cheng He:
    The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    40 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jia Xu, Weilin Du, Xiao Liu, and Xuejun Li:
    LLM4Workflow: An LLM-Based Automated Workflow Model Generation Tool.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Minghai Lu, Benjamin Delaware, and Tianyi Zhang:
    Proof Automation with Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Muhammad A. A. Pirzada, Giles Reger, Ahmed Bhayat, and Lucas C. Cordeiro:
    LLM-Generated Invariants for Bounded Model Checking Without Loop Unrolling.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    38 cites at Semantic Scholar
    100% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, and Junjie Chen:
    On the Evaluation of Large Language Models in Unit Test Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    137 cites at Semantic Scholar
    620% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zejun Wang, Kaibo Liu, Ge Li, and Zhi Jin:
    HITS: High-Coverage LLM-Based Unit Test Generation via Method Slicing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    131 cites at Semantic Scholar
    588% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Noble Saji Mathews and Meiyappan Nagappan:
    Test-Driven Development and LLM-Based Code Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    85 cites at Semantic Scholar
    346% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Luan Pham, Huong Ha, and Hongyu Zhang:
    Root Cause Analysis for Microservice System Based on Causal Inference: How Far Are We?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    62 cites at Semantic Scholar
    226% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Di Wu, Fangwen Mu, Lin Shi, Zhaoqiang Guo, Kui Liu, Weiguang Zhuang, Yuqi Zhong, and Li Zhang:
    iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    60 cites at Semantic Scholar
    215% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, and Qianxiang Wang:
    GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-Fine Retrieval Based on Code Context Graph.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    56 cites at Semantic Scholar
    194% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Cong Wu, Jing Chen, Ziwei Wang, Ruichao Liang, and Ruiying Du:
    Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Guangyuan Wu, Weining Cao, Yuan Yao, Hengfeng Wei, Taolue Chen, and Xiaoxing Ma:
    LLM Meets Bounded Model Checking: Neuro-Symbolic Loop Invariant Inference.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jiachi Chen, Qingyuan Zhong, Yanlin Wang, Kaiwen Ning, Yongkun Liu, Zenan Xu, Zhe Zhao, Ting Chen, and Zibin Zheng:
    RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Huan Zhang, Wei Cheng, Yuhan Wu, and Wei Hu:
    A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    46 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zongze Jiang, Ming Wen, Jialun Cao, Xuanhua Shi, and Hai Jin:
    Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    🏆 Distinguished Paper
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang, and Dan Pei:
    ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yin Wu, Xiaofei Xie, Chenyang Peng, Dijun Liu, Hao Wu, Ming Fan, Ting Liu, and Haijun Wang:
    AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, and John Grundy:
    What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    42 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, Lei Lei, Yuan Zhou, and Yinxing Xue:
    LeGEND: A Top-Down Approach to Scenario Generation of Autonomous Driving Systems Assisted by Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    41 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yongqi Han, Qingfeng Du, Ying Huang, Jiaqi Wu, Fulong Tian, and Cheng He:
    The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    40 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Minghai Lu, Benjamin Delaware, and Tianyi Zhang:
    Proof Automation with Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Muhammad A. A. Pirzada, Giles Reger, Ahmed Bhayat, and Lucas C. Cordeiro:
    LLM-Generated Invariants for Bounded Model Checking Without Loop Unrolling.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    38 cites at Semantic Scholar
    100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, and Zhenyu Chen:
    SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    35 cites at Semantic Scholar
    84% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Davide Corradini, Zeno Montolli, Michele Pasqua, and Mariano Ceccato:
    DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
    35 cites at Semantic Scholar
    84% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Jian Zhao, Shenao Wang, Yanjie Zhao, Xinyi Hou, Kailong Wang, Peiming Gao, Yuanchao Zhang, Chen Wei, and Haoyu Wang:
    Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-Trained Model Hubs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    44 cites at Semantic Scholar
    131% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Xinyi Zheng, Chen Wei, Shenao Wang, Yanjie Zhao, Peiming Gao, Yuanchao Zhang, Kailong Wang, and Haoyu Wang:
    Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Sidong Feng, Haochuan Lu, Jianqin Jiang, Ting Xiong, Likun Huang, Yinglin Liang, Xiaoqin Li, Yuetang Deng, and Aldeida Aleti:
    Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    18 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Genhardt, Louis Mandel, and Luca Buratti:
    Ansible Lightspeed: A Code Generation Service for IT Automation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Asmar Muqeet, Shaukat Ali, and Paolo Arcaini:
    Quantum Program Testing Through Commuting Pauli Strings on IBM's Quantum Computers.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Guillaume Haben, Sarra Habchi, John Micco, Mark Harman, Mike Papadakis, Maxime Cordy, and Yves Le Traon:
    The Importance of Accounting for Execution Failures When Predicting Test Flakiness.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zikan Dong, Yanjie Zhao, Tianming Liu, Chao Wang, Guosheng Xu, Guoai Xu, Lin Zhang, and Haoyu Wang:
    Same App, Different Behaviors: Uncovering Device-Specific Behaviors in Android Apps.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Lei Liu, So Hasegawa, Shailaja Keyur Sampat, Maria Xenochristou, Wei-Peng Chen, Takashi Kato, Taisei Kakibuchi, and Tatsuya Asai:
    AutoDW: Automatic Data Wrangling Leveraging Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Haonan Zhang, Lizhi Liao, Zishuo Ding, Weiyi Shang, Nidhi Narula, Catalin Sporea, Andrei Toma, and Sarah Sajedi:
    Towards a Robust Waiting Strategy for Web GUI Testing for an Industrial Software System.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Man Zhang, Andrea Arcuri, Piyun Teng, Kaiming Xue, and Wenhao Wang:
    Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Heyuan Shi, Shijun Chen, Runzhe Wang, Yuhan Chen, Weibo Zhang, Qiang Zhang, Yuheng Shen, Xiaohai Shi, Chao Hu, and Yu Jiang:
    Industry Practice of Directed Kernel Fuzzing for Open-Source Linux Distribution.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Liu Wang, Haoyu Wang, Tao Zhang, Haitao Xu, Guozhu Meng, Peiming Gao, Chen Wei, and Yi Wang:
    Android Malware Family Labeling: Perspectives from the Industry.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, and Foutse Khomh:
    In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Shiyan Peng, Yuan Zhang, Jiarun Dai, Yue Gu, Zhuoxiang Shen, Jingcheng Liu, Lin Wang, Yong Chen, Yu Qin, Lei Ai, Xianfeng Lu, and Min Yang:
    Applying Fuzz Driver Generation to Native C/C++ Libraries of OEM Android Framework: Obstacles and Solutions.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    4 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Stefan Alexander van Heijningen, Theo Wiik, Francisco Gomes de Oliveira Neto, Gregory Gay, Kim Viggedal, and David Friberg:
    Integrating Mutation Testing Into Developer Workflow: An Industrial Case Study.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Lei Liao, Junjie Wang, Zhensheng Xu, Fangwen Mu, and Yukun Yang:
    Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Arthur Vitui and Tse-Hsun Chen:
    MLOLET - Machine Learning Optimized Load and Endurance Testing: An Industrial Experience Report.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dino Distefano, Matteo Marescotti, Cons T. Åhs, Sopot Cela, Gabriela Cunha Sampaio, Radu Grigore, Ákos Hajdu, Timotej Kapus, Ke Mao, and Thibault Suzanne:
    Enhancing Compositional Static Analysis with Dynamic Analysis.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Martin Schäf, Berk Çirisci, Linghui Luo, Muhammad Numair Mansur, Omer Tripp, Daniel Sanchez, Qiang Zhou, and Muhammad Bilal Zafar:
    Understanding Developer-Analyzer Interactions in Code Reviews.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yifan Wang, Pierre Bourhis, Romain Rouvoy, and Patrick Royer:
    Challenges & Opportunities in Automating DBMS: A Qualitative Study.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Jia Xu, Weilin Du, Xiao Liu, and Xuejun Li:
    LLM4Workflow: An LLM-Based Automated Workflow Model Generation Tool.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Che Wang, Jiashuo Zhang, Jianbo Gao, Libin Xia, Zhi Guan, and Zhong Chen:
    ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Bonan Ruan, Jiahao Liu, Weibo Zhao, and Zhenkai Liang:
    VulZoo: A Comprehensive Vulnerability Intelligence Dataset.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Mojtaba Eshghie, Cyrille Artho, Hans Stammler, Wolfgang Ahrendt, Thomas T. Hildebrandt, and Gerardo Schneider:
    HighGuard: Cross-Chain Business Logic Monitoring of Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Usman Gohar, Michael C. Hunter, Robyn R. Lutz, and Myra B. Cohen:
    CoDefeater: Using LLMs To Find Defeaters in Assurance Cases.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Andrei Kozyrev, Gleb Solovev, Nikita Khramov, and Anton Podkopaev:
    CoqPilot, a Plugin for LLM-Based Generation of Proofs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    18 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Luqiao Wang, Yangtao Zhou, Huiying Zhuang, Qingshan Li, Di Cui, Yutong Zhao, and Lu Wang:
    Unity Is Strength: Collaborative LLM-Based Agents for Code Reviewer Recommendation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Beiqi Zhang, Peng Liang, Qiong Feng, Yujia Fu, and Zengyang Li:
    Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code Using Copilot.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mojtaba Eshghie and Cyrille Artho:
    Oracle-Guided Vulnerability Diversity and Exploit Synthesis of Smart Contracts Using LLMs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Dirk Beyer, Po-Chun Chien, and Marek Jankola:
    BenchCloud: A Platform for Scalable Performance Benchmarking.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yige Chen, Sinan Wang, Yida Tao, and Yepang Liu:
    Model-Based GUI Testing For HarmonyOS Apps.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chi Zhang, Zifan Wang, Ruoshi Zhao, Ravi Mangal, Matt Fredrikson, Limin Jia, and Corina S. Pasareanu:
    Attacks and Defenses for Large Language Models on Coding Tasks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mohamad Fazelnia, Mehdi Mirakhorli, and Hamid Bagheri:
    Translation Titans, Reasoning Challenges: Satisfiability-Aided Language Models for Detecting Conflicting Requirements.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xinyi Hou, Yanjie Zhao, Shenao Wang, and Haoyu Wang:
    GPTZoo: A Large-Scale Dataset of GPTs for the Research Community.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Elijah Kayode Adejumo and Brittany Johnson:
    Towards Leveraging LLMs for Reducing Open Source Onboarding Information Overload.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Runlin Liu, Yuhang Lin, Yunge Hu, Zhe Zhang, and Xiang Gao:
    LLM-Based Java Concurrent Program to ArkTS Converter.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Luciano Baresi, Matteo Camilli, Tommaso Dolci, and Giovanni Quattrocchi:
    A Conceptual Framework for Quality Assurance of LLM-Based Socio-Critical Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Atul Kumar, Diptikalyan Saha, Toshiaki Yasue, Kohichi Ono, Saravanan Krishnan, Sandeep Hans, Fumiko Satoh, Gerald Mitchell, and Sachin Kumar:
    Automated Validation of COBOL to Java Transformation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Omar I. Al-Bataineh:
    Automated Repair of Multi-Fault Programs: Obstacles, Approaches, and Prospects.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Moritz Mock, Jorge Melegati, Max Kretschmann, Nicolás E. Díaz Ferreyra, and Barbara Russo:
    MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury:
    AutoCodeRover: Autonomous Program Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    391 cites at Semantic Scholar
    1954% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chunqiu Steven Xia and Lingming Zhang:
    Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each Using ChatGPT.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    379 cites at Semantic Scholar
    1891% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, and Michael R. Lyu:
    A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    116 cites at Semantic Scholar
    509% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, and Xiaohu Yang:
    ThinkRepair: Self-Directed Automated Program Repair.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    97 cites at Semantic Scholar
    409% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, and Yang Liu:
    How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    75 cites at Semantic Scholar
    294% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Hao Wang, Zeyu Gao, Chao Zhang, Zihan Sha, Mingyang Sun, Yuchen Zhou, Wenyu Zhu, Wenju Sun, Han Qiu, and Xi Xiao:
    CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    68 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Boyang Yang, Haoye Tian, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F. Bissyandé, and Shunfu Jin:
    CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    68 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham, and Christoph Treude:
    An Empirical Study of Static Analysis Tools for Secure Code Review.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    61 cites at Semantic Scholar
    220% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Dezhi Ran, Hao Wang, Zihe Song, Mengzhou Wu, Yuan Cao, Ying Zhang, Wei Yang, and Tao Xie:
    Guardian: A Runtime Framework for LLM-Based UI Exploration.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    59 cites at Semantic Scholar
    210% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jueon Eom, Seyeon Jeong, and Taekyoung Kwon:
    Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    58 cites at Semantic Scholar
    205% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, and Zibin Zheng:
    Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zeliang Yu, Ming Wen, Xiaochen Guo, and Hai Jin:
    Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    52 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, and Zibin Zheng:
    When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    50 cites at Semantic Scholar
    163% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, and Michael R. Lyu:
    SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    47 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhiyi Xue, Liangguo Li, Senyue Tian, Xiaohong Chen, Pingping Li, Liangyu Chen, Tingting Jiang, and Min Zhang:
    LLM4Fin: Fully Automating LLM-Powered Test Case Generation for FinTech Software Acceptance Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    45 cites at Semantic Scholar
    136% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, and Hai Jin:
    Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, and Junjie Chen:
    Large Language Models for Equivalent Mutant Detection: How Far Are We?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dingbang Wang, Yu Zhao, Sidong Feng, Zhaoxu Zhang, William G. J. Halfond, Chunyang Chen, Xiaoxia Sun, Jiangfan Shi, and Tingting Yu:
    Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, and James C. Davis:
    Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Hao Wang, Zeyu Gao, Chao Zhang, Mingyang Sun, Yuchen Zhou, Han Qiu, and Xi Xiao:
    CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, and Abhik Roychoudhury:
    AutoCodeRover: Autonomous Program Improvement.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    391 cites at Semantic Scholar
    1954% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chunqiu Steven Xia and Lingming Zhang:
    Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each Using ChatGPT.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    379 cites at Semantic Scholar
    1891% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, and Michael R. Lyu:
    A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    116 cites at Semantic Scholar
    509% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, and Xiaohu Yang:
    ThinkRepair: Self-Directed Automated Program Repair.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    97 cites at Semantic Scholar
    409% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, and Yang Liu:
    How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    75 cites at Semantic Scholar
    294% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Hao Wang, Zeyu Gao, Chao Zhang, Zihan Sha, Mingyang Sun, Yuchen Zhou, Wenyu Zhu, Wenju Sun, Han Qiu, and Xi Xiao:
    CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    68 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Boyang Yang, Haoye Tian, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F. Bissyandé, and Shunfu Jin:
    CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    68 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham, and Christoph Treude:
    An Empirical Study of Static Analysis Tools for Secure Code Review.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    61 cites at Semantic Scholar
    220% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Dezhi Ran, Hao Wang, Zihe Song, Mengzhou Wu, Yuan Cao, Ying Zhang, Wei Yang, and Tao Xie:
    Guardian: A Runtime Framework for LLM-Based UI Exploration.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    59 cites at Semantic Scholar
    210% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jueon Eom, Seyeon Jeong, and Taekyoung Kwon:
    Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    58 cites at Semantic Scholar
    205% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, and Zibin Zheng:
    Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zeliang Yu, Ming Wen, Xiaochen Guo, and Hai Jin:
    Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    52 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, and Zibin Zheng:
    When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    50 cites at Semantic Scholar
    163% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, and Michael R. Lyu:
    SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    47 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhiyi Xue, Liangguo Li, Senyue Tian, Xiaohong Chen, Pingping Li, Liangyu Chen, Tingting Jiang, and Min Zhang:
    LLM4Fin: Fully Automating LLM-Powered Test Case Generation for FinTech Software Acceptance Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    45 cites at Semantic Scholar
    136% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, and Hai Jin:
    Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, and Junjie Chen:
    Large Language Models for Equivalent Mutant Detection: How Far Are We?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dingbang Wang, Yu Zhao, Sidong Feng, Zhaoxu Zhang, William G. J. Halfond, Chunyang Chen, Xiaoxia Sun, Jiangfan Shi, and Tingting Yu:
    Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, and James C. Davis:
    Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Hao Wang, Zeyu Gao, Chao Zhang, Mingyang Sun, Yuchen Zhou, Han Qiu, and Xi Xiao:
    CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Ningyu He, Zhehao Zhao, Hanqin Guan, Jikai Wang, Shuo Peng, Ding Li, Haoyu Wang, Xiangqun Chen, and Yao Guo:
    SeeWasm: An Efficient and Fully-Functional Symbolic Execution Engine for WebAssembly Binaries.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Bruno Farias, Rafael Menezes, Eddie B. de Lima Filho, Youcheng Sun, and Lucas C. Cordeiro:
    ESBMC-Python: A Bounded Model Checker for Python Programs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Paul Fiterau-Brostean, Bengt Jonsson, Konstantinos Sagonas, and Fredrik Tåquist:
    SMBugFinder: An Automated Framework for Testing Protocol Implementations for State Machine Bugs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yunqi Liu and Wei Song:
    FunRedisp: A Function Redispatch Tool to Reduce Invocation Gas Fees in Solidity Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Aleksandr Potapov, Maksim Zuev, Evgenii Moiseenko, and Nikita Koval:
    Testing Concurrent Algorithms on JVM with Lincheck and IntelliJ IDEA.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Evan Sultanik, Marek Surovic, Henrik Brodin, Kelly Kaoudis, Facundo Tuesca, Carson Harmon, Lisa Overall, Joseph Sweeney, and Bradford Larsen:
    PolyTracker: Whole-Input Dynamic Information Flow Tracing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    3 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zaiyu Cheng, Tong Wu, Peter Schrammel, Norbert Tihanyi, Eddie B. de Lima Filho, and Lucas C. Cordeiro:
    JCWIT: A Correctness-Witness Validator for Java Programs Based on Bounded Model Checking.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Luqiao Wang, Qiangqiang Wang, Jiaqi Wang, Yutong Zhao, Minjie Wei, Zhou Quan, Di Cui, and Qingshan Li:
    HECS: A Hypergraph Learning-Based System for Detecting Extract Class Refactoring Opportunities.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Alessio Gambi, Shreya Mathews, Benedikt Steininger, Mykhailo Poienko, and David Bobek:
    The Flexcrash Platform for Testing Autonomous Vehicles in Mixed-Traffic Scenarios.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ege Berkay Gulcan, João Neto, and Burcu Kulahcioglu Ozkan:
    Generalized Concurrency Testing Tool for Distributed Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xutong Ma, Jiwei Yan, Jun Yan, and Jian Zhang:
    Panda: A Concurrent Scheduler for Compiler-Based Tools.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Facundo Molina, Juan Manuel Copia, and Alessandra Gorla:
    FixCheck: A Tool for Improving Patch Correctness Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pedro Tavares, Ana C. R. Paiva, Domenico Amalfitano, and René Just:
    FRAFOL: FRAmework FOr Learning Mutation Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    1 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Baoquan Cui, Jiwei Yan, and Jian Zhang:
    DMMPP: Constructing Dummy Main Methods for Android Apps with Path-Sensitive Predicates.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2024
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, and Shaohua Wang:
    MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    87 cites at Semantic Scholar
    357% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Eman Abdullah AlOmar, Anushkrishna Venkatakrishnan, Mohamed Wiem Mkaouer, Christian D. Newman, and Ali Ouni:
    How to Refactor This Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    78 cites at Semantic Scholar
    310% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Mohammed Latif Siddiq, Lindsay Roney, Jiahao Zhang, and Joanna C. S. Santos:
    Quality Assessment of ChatGPT Generated Code and Their Use by Developers.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    73 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Tao Xiao, Christoph Treude, Hideaki Hata, and Kenichi Matsumoto:
    DevGPT: Studying Developer-ChatGPT Conversations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    72 cites at Semantic Scholar
    278% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, and Gabriele Bavota:
    Unveiling ChatGPT's Usage in Open Source Projects: A Mining-Based Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    69 cites at Semantic Scholar
    262% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, and Justus Bogner:
    Analyzing the Evolution and Maintenance of ML Models on Hugging Face.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    68 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, and Luigi Quaranta:
    Leveraging GPT-Like LLMs to Automate Issue Labeling.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    53 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Kailun Jin, Chung-Yu Wang, Hung Viet Pham, and Hadi Hemmati:
    Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    48 cites at Semantic Scholar
    152% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    André Silva, Nuno Saavedra, and Martin Monperrus:
    GitBug-Java: A Reproducible Benchmark of Recent Java Bugs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Arifa I. Champa, Md. Fazle Rabbi, Costain Nachuma, and Minhaz F. Zibran:
    ChatGPT in Action: Analyzing Its Use in Software Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    41 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Moataz Chouchen, Narjes Bessghaier, Mahi Begoug, Ali Ouni, Eman Abdullah AlOmar, and Mohamed Wiem Mkaouer:
    How Do So Ware Developers Use ChatGPT? An Exploratory Study on GitHub Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    39 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Oseremen Joy Idialu, Noble Saji Mathews, Rungroj Maipradit, Joanne M. Atlee, and Meiyappan Nagappan:
    Whodunit: Classifying Code as Human Authored or GPT-4 Generated- A Case Study on CodeChef Problems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    38 cites at Semantic Scholar
    100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Md. Fazle Rabbi, Arifa I. Champa, Minhaz Fahim Zibran, and Md. Rakibul Islam:
    AI Writes, We Analyze: The ChatGPT Python Code Saga.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, and Wachiraphan Charoenwet:
    Improving Automated Code Reviews: Learning from Experience.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    30 cites at Semantic Scholar
    58% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Dario Amoroso d'Aragona, Alexander Bakhtin, Xiaozhou Li, Ruoyu Su, Lauren Adams, Ernesto Aponte, Francis Boyle, Patrick Boyle, Rachel Koerner, Joseph Lee, Fangchao Tian, Yuqing Wang, Jesse Nyyssölä, Ernesto Quevedo, Md Shahidur Rahaman, Amr S. Abdelfattah, Mika Mäntylä, Tomás Cerný, and Davide Taibi:
    A Dataset of Microservices-Based Open-Source Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    30 cites at Semantic Scholar
    58% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Marco Alecci, Pedro Jesús Ruiz Jiménez, Kevin Allix, Tegawendé F. Bissyandé, and Jacques Klein:
    AndroZoo: A Retrospective with a Glimpse into the Future.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    28 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, and James C. Davis:
    PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    28 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Guillaume Cardoen, Tom Mens, and Alexandre Decan:
    A Dataset of GitHub Actions Workflow Histories.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    21 cites at Semantic Scholar
    10% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, and Laurie A. Williams:
    MalwareBench: Malware Samples Are Not Enough.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    21 cites at Semantic Scholar
    10% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Balreet Grewal, Wentao Lu, Sarah Nadi, and Cor-Paul Bezemer:
    Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, and Foutse Khomh:
    Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    59 cites at Semantic Scholar
    210% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, and Yihan Liao:
    Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    34 cites at Semantic Scholar
    79% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, and Foutse Khomh:
    Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    34 cites at Semantic Scholar
    79% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Linghao Zhang, Jingshu Zhao, Chong Wang, and Peng Liang:
    Using Large Language Models for Commit Message Generation: A Preliminary Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    30 cites at Semantic Scholar
    58% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Quim Motger, Alessio Miaschi, Felice Dell'Orletta, Xavier Franch, and Jordi Marco:
    T-FREX: A Transformer-Based Feature Extraction Method from Mobile App Reviews.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    26 cites at Semantic Scholar
    37% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, and David Lo:
    Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    24 cites at Semantic Scholar
    26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, and Zibin Zheng:
    SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    23 cites at Semantic Scholar
    21% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mika V. Mäntylä, Yuqing Wang, and Jesse Nyyssölä:
    LogLead - Fast and Integrated Log Loader, Enhancer, and Anomaly Detector.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Hrishikesh Karmarkar, Supriya Agrawal, Avriti Chauhan, and Pranav Shete:
    Navigating Confidentiality in Test Automation: A Case Study in LLM Driven Test Data Generation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Frank Reyes, Yogya Gamage, Gabriel Skoglund, Benoit Baudry, and Martin Monperrus:
    BUMP: A Benchmark of Reproducible Breaking Dependency Updates.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Maximilian Schall, Tamara Czinczoll, and Gerard de Melo:
    CommitBench: A Benchmark for Commit Message Generation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Shuo Hong, Hailong Sun, Xiang Gao, and Shin Hwei Tan:
    Investigating and Detecting Silent Bugs in PyTorch Programs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Gabriel A. Morales, Pragyan K. C, Sadia Jahan, Mitra Bokaei Hosseini, and Rocky Slavin:
    A Large Language Model Approach to Code and Privacy Policy Alignment.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, and Guoai Xu:
    APIGen: Generative API Method Recommendation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Parvez Mahbub and Mohammad Masudur Rahman:
    Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, and Meng Yan:
    Guiding ChatGPT for Better Code Generation: An Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, and David Lo:
    Self-Admitted Technical Debts Identification: How Far Are We?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Simon Schneider, Nicolás E. Díaz Ferreyra, Pierre-Jean Quéval, Georg Simhandl, Uwe Zdun, and Riccardo Scandariato:
    How Dataflow Diagrams Impact Software Security Analysis: An Empirical Experiment.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, and Li Zhang:
    Challenges of Using Pre-Trained Models: The Practitioners' Perspective.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, and Shanping Li:
    Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Timofey Bryksin, and Danny Dig:
    Next-Generation Refactoring: Combining LLM Insights and IDE Capabilities for Extract Method.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    42 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Siyi Wang, Sinan Wang, Yujia Fan, Xiaolei Li, and Yepang Liu:
    Leveraging Large Vision-Language Model for Better Automatic Web GUI Testing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    26 cites at Semantic Scholar
    37% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Daksh Chaudhary, Sri Lakshmi Vadlamani, Dimple Thomas, Shiva Nejati, and Mehrdad Sabetzadeh:
    Developing a Llama-Based Chatbot for CI/CD Question Answering: A Case Study at Ericsson.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    19 cites at Semantic Scholar
    -0% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Hans-Alexander Kruse, Tim Puhlfürß, and Walid Maalej:
    Can Developers Prompt? A Controlled Experiment for Code Documentation Generation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jonan Richards and Mairieli Wessel:
    What You Need Is What You Get: Theory of Mind for an LLM-Based Code Understanding Assistant.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Vinicius L. Nogueira, Fernando S. Felizardo, Aline M. M. M. Amaral, Wesley K. G. Assunção, and Thelma Elita Colanzi:
    Insights on Microservice Architecture Through the Eyes of Industry Practitioners.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Xiuwei Shang, Shaoyin Cheng, Guoqiang Chen, Yanming Zhang, Li Hu, Xiao Yu, Gangyang Li, Weiming Zhang, and Nenghai Yu:
    How Far Have We Gone in Binary Code Understanding Using Large Language Models.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    15 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Tajmilur Rahman, Yuecai Zhu, Lamyea Maha, Chanchal Roy, Banani Roy, and Kevin A. Schneider:
    Take Loads Off Your Developers: Automated User Story Generation Using Large Language Model.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Subroto Nag Pinku, Debajyoti Mondal, and Chanchal K. Roy:
    On the Use of Deep Learning Models for Semantic Clone Detection.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Hanzhen Lu and Zhongxin Liu:
    Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Katherine R. Dearstyne, Alberto D. Rodriguez, and Jane Cleland-Huang:
    Supporting Software Maintenance with Dynamically Generated Document Hierarchies.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, and Massimiliano Di Penta:
    A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Amanda Santana, Eduardo Figueiredo, and Juliana Alves Pereira:
    Unraveling the Impact of Code Smell Agglomerations on Code Stability.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Markus Borg, Marwa Ezzouhri, and Adam Tornhill:
    Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sabato Nocera, Massimiliano Di Penta, Rita Francese, Simone Romano, and Giuseppe Scanniello:
    If It's Not SBOM, Then What? How Italian Practitioners Manage the Software Supply Chain.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Muhammad Salman Abid, Mrigank Pawagi, Sugam Adhikari, Xuyan Cheng, Ryed Badr, Md Wahiduzzaman, Vedant Rathi, Ronghui Qi, Choiyin Li, Lu Liu, Rohit Sai Naidu, Licheng Lin, Que Liu, Asif Zubayer Palak, Mehzabin Haque, Xinyu Chen, Darko Marinov, and Saikat Dutta:
    GlueTest: Testing Code Translation via Language Interoperability.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Mahmut Furkan Gön, Burak Yetistiren, and Eray Tüzün:
    Towards Unmasking LGTM Smells in Code Reviews: A Comparative Study of Comment-Free and Commented Reviews.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Maryam Mehrabi, Abdelwahab Hamou-Lhadj, and Hossein Moosavi:
    The Effectiveness of Compact Fine-Tuned LLMs in Log Parsing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Takashi Nakano, Kazumasa Shimari, Raula Gaikovina Kula, Christoph Treude, Marc Cheong, and Kenichi Matsumoto:
    Nigerian Software Engineer or American Data Scientist? GitHub Profile Recruitment Bias in Large Language Models.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Gabin An, Juyeon Yoon, Thomas Bach, Jingun Hong, and Shin Yoo:
    Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, and Gang Huang:
    LLMeLog: An Approach for Anomaly Detection Based on LLM-Enriched Log Events.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    52 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, and Gaogang Xie:
    TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    43 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, and Gaogang Xie:
    Large Language Models Can Provide Accurate and Interpretable Incident Triage.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    31 cites at Semantic Scholar
    63% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shuang Li, Yuntao Cheng, Jinfu Chen, Jifeng Xuan, Sen He, and Weiyi Shang:
    Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    27 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, and Michael R. Lyu:
    Demystifying and Extracting Fault-Indicating Information from Logs for Failure Diagnosis.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    22 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren, Yeqing Meng, Mingxi Qiu, and Jilong Wang:
    Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Torin Viger, Logan Murphy, Simon Diemert, Claudio Menghi, Jeff Joyce, Alessio Di Sandro, and Marsha Chechik:
    AI-Supported Eliminative Argumentation: Practical Experience Generating Defeaters to Increase Confidence in Assurance Cases.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    17 cites at Semantic Scholar
    -11% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yunze Zhao, Yuchen Zhang, Dan Chacko, and Justin Cappos:
    CovSBOM: Enhancing Software Bill of Materials with Integrated Code Coverage Analysis.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    14 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jun Liu, Jiwei Yan, Yuanyuan Xie, Jun Yan, and Jian Zhang:
    Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Pei Xiao, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, and Gang Huang:
    LogCAE: An Approach for Log-Based Anomaly Detection with Active Learning and Contrastive Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zhenhe Yao, Haowei Ye, Changhua Pei, Guang Cheng, Guangpei Wang, Zhiwei Liu, Hongwei Chen, Hang Cui, Zeyan Li, Jianhui Li, Gaogang Xie, and Dan Pei:
    SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, and Michael R. Lyu:
    KPIRoot: Efficient Monitoring Metric-Based Root Cause Localization in Large-Scale Cloud Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mei Han, Lulu Wang, Jianming Chang, Bixin Li, and Chunguang Zhang:
    Learning Graph-Based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Changhua Pei, Zihan Liu, Jianhui Li, Erhan Zhang, Le Zhang, Haiming Zhang, Wei Chen, Dan Pei, and Gaogang Xie:
    Self-Evolutionary Group-Wise Log Parsing Based on Large Language Model.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jin Huang, Pengfei Chen, Guangba Yu, Yilun Wang, Haiyu Huang, and Zilong He:
    FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tommaso Puccetti and Andrea Ceccarelli:
    Detection Latencies of Anomaly Detectors - An Overlooked Perspective?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shree Hari Bittugondanahalli Indra Kumar, Lilia Rodrigues Sampaio, André Martin, Andrey Brito, and Christof Fetzer:
    A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kai Liang, Zhengxiong Luo, Yanyang Zhao, Wenlong Zhang, Ronghua Shi, Yu Jiang, Heyuan Shi, and Chao Hu:
    MDIplier: Protocol Format Recovery via Hierarchical Inference.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Pietro Liguori, Cristina Improta, Roberto Natella, Bojan Cukic, and Domenico Cotroneo:
    Enhancing AI-Based Generation of Software Exploits with Contextual Information.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Anna Schmedding, Lishan Yang, Adwait Jog, and Evgenia Smirni:
    Aspis: Lightweight Neural Network Protection Against Soft Errors.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Sangwon Hyun, Mingyu Guo, and Muhammad Ali Babar:
    METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    50 cites at Semantic Scholar
    163% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Juyeon Yoon, Robert Feldt, and Shin Yoo:
    Intent-Driven Mobile GUI Testing with Autonomous Large Language Model Agents.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    38 cites at Semantic Scholar
    100% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ruben Grewal, Paolo Tonella, and Andrea Stocco:
    Predicting Safety Misbehaviours in Autonomous Driving Systems Using Uncertainty Quantification.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Robson Santos, Ítalo Santos, Cleyton V. C. de Magalhães, and Ronnie de Souza Santos:
    Are We Testing or Being Tested? Exploring the Practical Applications of Large Language Models in Software Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    36 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Stefano Carlo Lambertenghi and Andrea Stocco:
    Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    27 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jae Yong Lee, Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    25 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Shanto Rahman, Abdelrahman Baz, Sasa Misailovic, and August Shi:
    Quantizing Large-Language Models for Predicting Flaky Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon:
    On the Coupling Between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Tri Le, Thien Tran, Duy Cao, Vy Le, Tien N. Nguyen, and Vu Nguyen:
    KAT: Dependency-Aware Automated API Testing with Large Language Models.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Fabian Leinen, Daniel Elsner, Alexander Pretschner, Andreas Stahlbauer, Michael Sailer, and Elmar Jürgens:
    Cost of Flaky Tests in Continuous Integration: An Industrial Case Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Andréa Doreste, Matteo Biagiola, and Paolo Tonella:
    Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Shanto Rahman, Aaron Massey, Wing Lam, August Shi, and Jonathan Bell:
    Automatically Reproducing Timing-Dependent Flaky-Test Failures.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Facundo Molina, Juan Manuel Copia, and Alessandra Gorla:
    Improving Patch Correctness Analysis via Random Testing and Large Language Models.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yingying Zheng, Wensheng Dou, Lei Tang, Ziyu Cui, Jiansen Song, Ziyue Cheng, Wei Wang, Jun Wei, Hua Zhong, and Tao Huang:
    Differential Optimization Testing of Gremlin-Based Graph Database Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zewen Shang, Matheus E. Garbelini, and Sudipta Chattopadhyay:
    U-Fuzz: Stateful Fuzzing of IoT Protocols on COTS Devices.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mengzhen Li and Mattia Fazzini:
    Automatically Removing Unnecessary Stubbings from Test Suites.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Safwat Ali Khan, Wenyu Wang, Yiran Ren, Bin Zhu, Jiangfan Shi, Alyssa McGowan, Wing Lam, and Kevin Moran:
    Aurora: Navigating UI Tarpits via Automated Neural Screen Understanding.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Martin Tappler, Edi Muskardin, Bernhard K. Aichernig, and Bettina Könighofer:
    Learning Environment Models with Continuous Stochastic Dynamics - with an Application to Deep RL Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    6 cites at Semantic Scholar
    -68% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Abdulrahman Alshammari, Paul Ammann, Michael Hilton, and Jonathan Bell:
    230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Thomas Laurent, Paolo Arcaini, Xiaoyi Zhang, and Fuyuki Ishikawa:
    Metamorphic Testing of an Autonomous Delivery Robots Scheduler.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024
    5 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yuhang Chen, Yanqing Zhao, Hao Yang, and Yanfei Jiang:
    Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    108 cites at Semantic Scholar
    467% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Domenico Cotroneo, Cristina Improta, Pietro Liguori, and Roberto Natella:
    Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    79 cites at Semantic Scholar
    315% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gabriele Bavota, Gerardo Canfora, and Massimiliano Di Penta:
    How Do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    55 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez, and Mohamed Sami Shehata:
    Investigating the Efficacy of Large Language Models for Code Clone Detection.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    40 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zexiong Ma, Shengnan An, Bing Xie, and Zeqi Lin:
    Compositional API Recommendation for Library-Oriented Code Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    40 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, and Yu Huang:
    Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Vincenzo Corso, Leonardo Mariani, Daniela Micucci, and Oliviero Riganelli:
    Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    34 cites at Semantic Scholar
    79% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ionut Daniel Fagadau, Leonardo Mariani, Daniela Micucci, and Oliviero Riganelli:
    Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    30 cites at Semantic Scholar
    58% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, and Chen Lyu:
    Knowledge-Aware Code Generation with Large Language Models.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    23 cites at Semantic Scholar
    21% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Agnia Sergeyuk, Olga Lvova, Sergey Titov, Anastasiia Serova, Farid Bagirov, Evgeniia Kirillova, and Timofey Bryksin:
    Reassessing Java Code Readability Models with a Human-Centered Approach.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    21 cites at Semantic Scholar
    10% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mohammed Latif Siddiq, Jiahao Zhang, and Joanna Cecilia da Silva Santos:
    Understanding Regular Expression Denial of Service (ReDoS): Insights from LLM-Generated Regexes and Developer Forums.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    16 cites at Semantic Scholar
    -16% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, and Gabriele Bavota:
    Towards Summarizing Code Snippets Using Pre-Trained Transformers.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    13 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mahi Begoug, Moataz Chouchen, and Ali Ouni:
    TerraMetrics: An Open Source Tool for Infrastructure-as-Code (IaC) Quality Metrics in Terraform.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    12 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Matteo Ciniselli, Alberto Martin-Lopez, and Gabriele Bavota:
    On the Generalizability of Deep Learning-Based Code Completion Across Programming Language Versions.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yuan Huang, Xiaoyuan Wu, Quanqi Wang, Ziang Qian, Xiangping Chen, Mingdong Tang, and Zibin Zheng:
    The Sword of Damocles: Upgradeable Smart Contract in Ethereum.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    11 cites at Semantic Scholar
    -42% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, and Xin Xia:
    Exploring and Improving Code Completion for Test Code.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    10 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Henrique Gomes Nunes, Amanda Santana, Eduardo Figueiredo, and Heitor A. X. Costa:
    Tuning Code Smell Prediction Models: A Replication Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    9 cites at Semantic Scholar
    -53% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ewan D. Tempero, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, Diana Kirk, Juho Leinonen, Asma Shakil, Robert J. Sheehan, James Tizard, Yu-Cheng Tu, and Burkhard Wuensche:
    On the Comprehensibility of Functional Decomposition: An Empirical Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    8 cites at Semantic Scholar
    -58% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xueting Guan and Christoph Treude:
    Enhancing Source Code Representations for Deep Learning with Static Analysis.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Che Wang, Yue Li, Jianbo Gao, Ke Wang, Jiashuo Zhang, Zhi Guan, and Zhong Chen:
    SolaSim: Clone Detection for Solana Smart Contracts via Program Representation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2024
    7 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2023 normalized by age ⌄

  1. 1
    Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, and Lingming Zhang:
    Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    408 cites at Semantic Scholar
    2211% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang:
    Automated Program Repair in the Era of Large Pre-Trained Language Models.
    International Conference on Software Engineering (ICSE), 2023
    402 cites at Semantic Scholar
    2177% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, and Alexey Svyatkovskiy:
    InferFix: End-to-End Program Repair with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    342 cites at Semantic Scholar
    1837% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    Large Language Models Are Few-Shot Testers: Exploring LLM-Based General Bug Reproduction.
    International Conference on Software Engineering (ICSE), 2023
    332 cites at Semantic Scholar
    1780% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, and Michael R. Lyu:
    Loghub: A Large Collection of System Log Datasets for AI-Driven Log Analytics.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    314 cites at Semantic Scholar
    1678% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, and Siddhartha Sen:
    CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-Trained Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    261 cites at Semantic Scholar
    1378% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan:
    Impact of Code Language Models on Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2023
    248 cites at Semantic Scholar
    1305% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, and Gabriele Bavota:
    On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot.
    International Conference on Software Engineering (ICSE), 2023
    216 cites at Semantic Scholar
    1123% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan:
    Automated Repair of Programs from Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    212 cites at Semantic Scholar
    1101% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Roland Croft, Muhammad Ali Babar, and M. Mehdi Kholoosi:
    Data Quality for Software Vulnerability Datasets.
    International Conference on Software Engineering (ICSE), 2023
    209 cites at Semantic Scholar
    1084% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Emily First, Markus N. Rabe, Talia Ringer, and Yuriy Brun:
    Baldur: Whole-Proof Generation and Repair with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    206 cites at Semantic Scholar
    1067% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Andreas Happe and Jürgen Cito:
    Getting Pwn'd by AI: Penetration Testing with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    189 cites at Semantic Scholar
    970% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Guangba Yu, Pengfei Chen, Yufeng Li, Hongyang Chen, Xiaoyun Li, and Zibin Zheng:
    Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-Modal Observability Data.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    179 cites at Semantic Scholar
    914% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, and Qing Wang:
    Fill in the Blank: Context-Aware Automated Text Input Generation for Mobile GUI Testing.
    International Conference on Software Engineering (ICSE), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah:
    How Effective Are Neural Networks for Fixing Security Vulnerabilities.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, and Wei Le:
    An Empirical Study of Deep Learning Models for Vulnerability Detection.
    International Conference on Software Engineering (ICSE), 2023
    173 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Noor Nashid, Mifta Sintaha, and Ali Mesbah:
    Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning.
    International Conference on Software Engineering (ICSE), 2023
    171 cites at Semantic Scholar
    868% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yuxiang Wei, Chunqiu Steven Xia, and Lingming Zhang:
    Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    168 cites at Semantic Scholar
    851% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, and Michael R. Lyu:
    What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    154 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Weishi Wang, Yue Wang, Shafiq Joty, and Steven C. H. Hoi:
    RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    140 cites at Semantic Scholar
    693% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang:
    Automated Program Repair in the Era of Large Pre-Trained Language Models.
    International Conference on Software Engineering (ICSE), 2023
    402 cites at Semantic Scholar
    2177% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    Large Language Models Are Few-Shot Testers: Exploring LLM-Based General Bug Reproduction.
    International Conference on Software Engineering (ICSE), 2023
    332 cites at Semantic Scholar
    1780% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, and Siddhartha Sen:
    CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-Trained Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    261 cites at Semantic Scholar
    1378% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan:
    Impact of Code Language Models on Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2023
    248 cites at Semantic Scholar
    1305% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, and Gabriele Bavota:
    On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot.
    International Conference on Software Engineering (ICSE), 2023
    216 cites at Semantic Scholar
    1123% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan:
    Automated Repair of Programs from Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    212 cites at Semantic Scholar
    1101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Roland Croft, Muhammad Ali Babar, and M. Mehdi Kholoosi:
    Data Quality for Software Vulnerability Datasets.
    International Conference on Software Engineering (ICSE), 2023
    209 cites at Semantic Scholar
    1084% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, and Qing Wang:
    Fill in the Blank: Context-Aware Automated Text Input Generation for Mobile GUI Testing.
    International Conference on Software Engineering (ICSE), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, and Wei Le:
    An Empirical Study of Deep Learning Models for Vulnerability Detection.
    International Conference on Software Engineering (ICSE), 2023
    173 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Noor Nashid, Mifta Sintaha, and Ali Mesbah:
    Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning.
    International Conference on Software Engineering (ICSE), 2023
    171 cites at Semantic Scholar
    868% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan:
    Recommending Root-Cause and Mitigation Steps for Cloud Incidents Using Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    136 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, and Michael R. Lyu:
    Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-Source Data.
    International Conference on Software Engineering (ICSE), 2023
    132 cites at Semantic Scholar
    648% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Zhuo Zhang, Brian Zhang, Wen Xu, and Zhiqiang Lin:
    Demystifying Exploitable Bugs in Smart Contracts.
    International Conference on Software Engineering (ICSE), 2023
    123 cites at Semantic Scholar
    597% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, and James C. Davis:
    An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
    International Conference on Software Engineering (ICSE), 2023
    120 cites at Semantic Scholar
    580% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, and Cuiyun Gao:
    CCTEST: Testing and Repairing Code Completion Systems.
    International Conference on Software Engineering (ICSE), 2023
    117 cites at Semantic Scholar
    563% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Van-Hoang Le and Hongyu Zhang:
    Log Parsing with Prompt-Based Few-Shot Learning.
    International Conference on Software Engineering (ICSE), 2023
    115 cites at Semantic Scholar
    551% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, and Bin Luo:
    An Empirical Comparison of Pre-Trained Models of Source Code.
    International Conference on Software Engineering (ICSE), 2023
    115 cites at Semantic Scholar
    551% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, and Xing Hu:
    SkCoder: A Sketch-Based Approach for Automatic Code Generation.
    International Conference on Software Engineering (ICSE), 2023
    109 cites at Semantic Scholar
    517% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, and Milos Gligoric:
    Learning Deep Semantics for Test Completion.
    International Conference on Software Engineering (ICSE), 2023
    107 cites at Semantic Scholar
    506% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, and Liming Zhu:
    An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead.
    International Conference on Software Engineering (ICSE), 2023
    104 cites at Semantic Scholar
    489% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang:
    Automated Program Repair in the Era of Large Pre-Trained Language Models.
    International Conference on Software Engineering (ICSE), 2023
    402 cites at Semantic Scholar
    2177% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    Large Language Models Are Few-Shot Testers: Exploring LLM-Based General Bug Reproduction.
    International Conference on Software Engineering (ICSE), 2023
    332 cites at Semantic Scholar
    1780% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, and Siddhartha Sen:
    CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-Trained Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    261 cites at Semantic Scholar
    1378% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan:
    Impact of Code Language Models on Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2023
    248 cites at Semantic Scholar
    1305% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, and Gabriele Bavota:
    On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot.
    International Conference on Software Engineering (ICSE), 2023
    216 cites at Semantic Scholar
    1123% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan:
    Automated Repair of Programs from Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    212 cites at Semantic Scholar
    1101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Roland Croft, Muhammad Ali Babar, and M. Mehdi Kholoosi:
    Data Quality for Software Vulnerability Datasets.
    International Conference on Software Engineering (ICSE), 2023
    209 cites at Semantic Scholar
    1084% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, and Qing Wang:
    Fill in the Blank: Context-Aware Automated Text Input Generation for Mobile GUI Testing.
    International Conference on Software Engineering (ICSE), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, and Wei Le:
    An Empirical Study of Deep Learning Models for Vulnerability Detection.
    International Conference on Software Engineering (ICSE), 2023
    173 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Noor Nashid, Mifta Sintaha, and Ali Mesbah:
    Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning.
    International Conference on Software Engineering (ICSE), 2023
    171 cites at Semantic Scholar
    868% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan:
    Recommending Root-Cause and Mitigation Steps for Cloud Incidents Using Large Language Models.
    International Conference on Software Engineering (ICSE), 2023
    136 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, and Michael R. Lyu:
    Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-Source Data.
    International Conference on Software Engineering (ICSE), 2023
    132 cites at Semantic Scholar
    648% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Zhuo Zhang, Brian Zhang, Wen Xu, and Zhiqiang Lin:
    Demystifying Exploitable Bugs in Smart Contracts.
    International Conference on Software Engineering (ICSE), 2023
    123 cites at Semantic Scholar
    597% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, and James C. Davis:
    An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
    International Conference on Software Engineering (ICSE), 2023
    120 cites at Semantic Scholar
    580% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, and Cuiyun Gao:
    CCTEST: Testing and Repairing Code Completion Systems.
    International Conference on Software Engineering (ICSE), 2023
    117 cites at Semantic Scholar
    563% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Van-Hoang Le and Hongyu Zhang:
    Log Parsing with Prompt-Based Few-Shot Learning.
    International Conference on Software Engineering (ICSE), 2023
    115 cites at Semantic Scholar
    551% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, and Bin Luo:
    An Empirical Comparison of Pre-Trained Models of Source Code.
    International Conference on Software Engineering (ICSE), 2023
    115 cites at Semantic Scholar
    551% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, and Xing Hu:
    SkCoder: A Sketch-Based Approach for Automatic Code Generation.
    International Conference on Software Engineering (ICSE), 2023
    109 cites at Semantic Scholar
    517% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, and Milos Gligoric:
    Learning Deep Semantics for Test Completion.
    International Conference on Software Engineering (ICSE), 2023
    107 cites at Semantic Scholar
    506% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, and Liming Zhu:
    An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead.
    International Conference on Software Engineering (ICSE), 2023
    104 cites at Semantic Scholar
    489% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Yang Song, Junayed Mahmud, Nadeeshan De Silva, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus, and Denys Poshyvanyk:
    Burt: A Chatbot for Interactive Bug Reporting.
    International Conference on Software Engineering (ICSE): Companion, 2023
    21 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shaukat Ali and Tao Yue:
    Quantum Software Testing: A Brief Introduction.
    International Conference on Software Engineering (ICSE): Companion, 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jaemin Hong:
    Improving Automatic C-to-Rust Translation with Static Analysis.
    International Conference on Software Engineering (ICSE): Companion, 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Austin Hoag, James E. Kostas, Bruno Castro da Silva, Philip S. Thomas, and Yuriy Brun:
    Seldonian Toolkit: Building Software with Safe and Fair Machine Learning.
    International Conference on Software Engineering (ICSE): Companion, 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Chengjie Lu:
    Test Scenario Generation for Autonomous Driving Systems with Reinforcement Learning.
    International Conference on Software Engineering (ICSE): Companion, 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Joshua Behler, Praxis Weston, Drew T. Guarnera, Bonita Sharif, and Jonathan I. Maletic:
    iTrace-Toolkit: A Pipeline for Analyzing Eye-Tracking Data of Software Engineering Studies.
    International Conference on Software Engineering (ICSE): Companion, 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Qing Huang, Jiahui Zhu, Zhilong Li, Zhenchang Xing, Changjing Wang, and Xiwei Xu:
    PCR-Chain: Partial Code Reuse Assisted by Hierarchical Chaining of Prompts on Frozen Copilot.
    International Conference on Software Engineering (ICSE): Companion, 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Rui Yang, Yingying Zheng, Lei Tang, Wensheng Dou, Wei Wang, and Jun Wei:
    Randomized Differential Testing of RDF Stores.
    International Conference on Software Engineering (ICSE): Companion, 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Weiwei Xu, Xin Wu, Runzhi He, and Minghui Zhou:
    LicenseRec: Knowledge Based Open Source License Recommendation for OSS Projects.
    International Conference on Software Engineering (ICSE): Companion, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Martin Gruber and Gordon Fraser:
    FlaPy: Mining Flaky Python Tests at Scale.
    International Conference on Software Engineering (ICSE): Companion, 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Kedi Shen, Yun Zhang, Lingfeng Bao, Zhiyuan Wan, Zhuorong Li, and Minghui Wu:
    Patchmatch: A Tool for Locating Patches of Open Source Project Vulnerabilities.
    International Conference on Software Engineering (ICSE): Companion, 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Haoxin Tu:
    Boosting Symbolic Execution for Heap-Based Vulnerability Detection and Exploit Generation.
    International Conference on Software Engineering (ICSE): Companion, 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Arpan Agrawal, Emily First, Zhanna Kaufman, Tom Reichel, Shizhuo Zhang, Timothy Zhou, Alex Sanchez-Stern, Talia Ringer, and Yuriy Brun:
    PRoofster: Automated Formal Verification.
    International Conference on Software Engineering (ICSE): Companion, 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Nargiz Humbatova, Gunel Jahangirova, and Paolo Tonella:
    DeepCrime: From Real Faults to Mutation Testing Tool for Deep Learning.
    International Conference on Software Engineering (ICSE): Companion, 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Nusrat Zahan:
    Software Supply Chain Risk Assessment Framework.
    International Conference on Software Engineering (ICSE): Companion, 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Jiashuo Zhang, Yue Li, Jianbo Gao, Zhi Guan, and Zhong Chen:
    Siguard: Detecting Signature-Related Vulnerabilities in Smart Contracts.
    International Conference on Software Engineering (ICSE): Companion, 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zejun Zhang, Zhenchang Xing, Xiwei Xu, and Liming Zhu:
    RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms.
    International Conference on Software Engineering (ICSE): Companion, 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, and Li Li:
    Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.
    International Conference on Software Engineering (ICSE): Companion, 2023
    8 cites at OpenAlex
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Dmitry Ivanov, Alexey Babushkin, Saveliy Grigoryev, Pavel Iatchenii, Vladislav Kalugin, Egor Kichin, Egor Kulikov, Aleksandr Misonizhnik, Dmitry Mordvinov, Sergey Morozov, Olga Naumenko, Alexey Pleshakov, Pavel Ponomarev, Svetlana Shmidt, Alexey Utkin, Vadim Volodin, and Arseniy Volynets:
    UnitTestBot: Automated Unit Test Generation for C Code in Integrated Development Environments.
    International Conference on Software Engineering (ICSE): Companion, 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yu Liu, Zachary Thurston, Alan Han, Pengyu Nie, Milos Gligoric, and Owolabi Legunsen:
    Pytest-Inline: An Inline Testing Tool for Python.
    International Conference on Software Engineering (ICSE): Companion, 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Meriem Ben Chaaben, Lola Burgueño, and Houari A. Sahraoui:
    Towards Using Few-Shot Prompt Learning for Automating Model Completion.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    63 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Claudio Menghi, Torin Viger, Alessio Di Sandro, Chris Rees, Jeff Joyce, and Marsha Chechik:
    Assurance Case Development as Data: A Manifesto.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    22 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, and Yves Le Traon:
    CodeS: Towards Code Model Generalization Under Distribution Shift.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, and Saikat Chakraborty:
    On ML-Based Program Translation: Perils and Promises.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Daniela Grassi, Filippo Lanubile, Nicole Novielli, and Alexander Serebrenik:
    Towards Supporting Emotion Awareness in Retrospective Meetings.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Amirali Sajadi, Kostadin Damevski, and Preetha Chatterjee:
    Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann, Iain Cruickshank, Grace A. Lewis, and Christian Kästner:
    MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ella Kokinda, Makayla Moster, James Dominic, and Paige Rodeghero:
    Under the Bridge: Trolling and the Challenges of Recruiting Software Developers for Empirical Research Studies.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Lars Reimann and Günter Kniesel-Wünsche:
    Safe-DS: A Domain Specific Language to Make Data Science Safe.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Luca Giamattei, Roberto Pietrantuono, and Stefano Russo:
    Reasoning-Based Software Testing.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Pedro H. Calais and Lissa Franzini:
    Test-Driven Development Benefits Beyond Design Quality: Flow State and Developer Experience.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Antonio Guerriero, Roberto Pietrantuono, and Stefano Russo:
    Iterative Assessment and Improvement of DNN Operational Accuracy.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Dor Ma'ayan, Shahar Maoz, and Jan Oliver Ringert:
    Anti-Patterns (Smells) in Temporal Specifications.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jasmin Bogatinovski and Odej Kao:
    Auto-Logging: AI-Centred Logging Instrumentation.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Vini Kanvar, Ridhi Jain, and Srikanth Tamilselvam:
    Handling Communication via APIs for Microservices.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Peng Kuang, Emma Söderberg, Diederick C. Niehorster, and Martin Höst:
    Toward Gaze-Assisted Developer Tools.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lee Martie, Jessie C. Rosenberg, Veronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, Damilola Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, and David Cox:
    Rapid Development of Compositional AI.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Noric Couderc, Christoph Reichenbach, and Emma Söderberg:
    Performance Analysis with Bayesian Inference.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Niroshinie Fernando, Chetan Arora, Seng W. Loke, Lubna Alam, Stephen La Macchia, and Helen Graesser:
    Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Lorenz Graf-Vlachy:
    The Risk-Taking Software Engineer: A Framed Portrait.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Callum Iddon, Nasser Giacaman, and Valerio Terragni:
    GRADESTYLE: GitHub-Integrated and Automated Assessment of Java Code Style.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    21 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Kai Marquardt, Ingo Wagner, and Lucia Happe:
    Engaging Girls in Computer Science: Do Single-Gender Interdisciplinary Classes Help?
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    17 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Eman Abdullah AlOmar, Salma Abdullah AlOmar, and Mohamed Wiem Mkaouer:
    On the Use of Static Analysis to Engage Students with Software Quality Improvement: An Experience with PMD.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Filippo Lanubile, Silverio Martínez-Fernández, and Luigi Quaranta:
    Teaching MLOps in Higher Education Through Project-Based Learning.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Maria Tigina, Anastasiia Birillo, Yaroslav Golubev, Hieke Keuning, Nikolay Vyahhi, and Timofey Bryksin:
    Analyzing the Quality of Submissions in Online Programming Courses.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ze Shi Li, Nowshin Nawar Arony, Kezia Devathasan, and Daniela E. Damian:
    "Software Is the Easy Part of Software Engineering" - Lessons and Experiences from A Large-Scale, Multi-Team Capstone Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Isabella Graßl, Gordon Fraser, Stefan Trieflinger, and Marco Kuhrmann:
    Exposing Software Engineering Students to Stressful Projects: Does Diversity Matter?
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yu Liu, Tong Li, Zheqing Huang, and Zhen Yang:
    BARA: A Dynamic State-Based Serious Game for Teaching Requirements Elicitation.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Samuel Ferino, Marcelo Fernandes, Elder Cirilo, Lucas Agnez, Bruno Batista, Uirá Kulesza, Eduardo Aranha, and Christoph Treude:
    Overcoming Challenges in DevOps Education Through Teaching Method.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Isabella Graßl and Gordon Fraser:
    The ABC of Pair Programming: Gender-Dependent Attitude, Behavior and Code of Young Learners.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Hao He, Minghui Zhou, Qingye Wang, and Jingyue Li:
    Open Source Software Onboarding as a University Course: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Wajdi Aljedaani, Mohamed Wiem Mkaouer, Anthony Peruma, and Stephanie Ludi:
    Do the Test Smells Assertion Roulette and Eager Test Impact Students' Troubleshooting and Debugging Capabilities?
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Chetan Arora, Laura Tubino, Andrew Cain, Kevin Lee, and Vasudha Malhotra:
    Persona-Based Assessment of Software Engineering Student Research Projects: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jinseok Heo, Hohyeon Jeong, Dongwook Choi, and Eunseok Lee:
    REFERENT: Transformer-Based Feedback Generation Using Assignment Information for Programming Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sabato Nocera, Simone Romano, Rita Francese, and Giuseppe Scanniello:
    Training for Security: Planning the Use of a SAT in the Development Pipeline of Web Apps.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Sara Nurollahian, Anna N. Rafferty, and Eliane Wiese:
    Improving Assessment of Programming Pattern Knowledge Through Code Editing and Revision.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Saara Tenhunen, Tomi Männistö, Petri Ihantola, Jami Kousa, and Matti Luukkainen:
    Software Startup Within a University - Producing Industry-Ready Graduates.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Nowshin Nawar Arony, Kezia Devathasan, Ze Shi Li, and Daniela E. Damian:
    Leveraging Diversity in Software Engineering Education Through Community Engaged Learning and a Supportive Network.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Marvin Wyrich and Stefan Wagner:
    Teaching Computer Science Students to Communicate Scientific Findings More Effectively.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Eng Lieh Ouh and Benjamin Kok Siew Gan:
    Are You Cloud-Certified? Preparing Computing Undergraduates for Cloud Certification with Experiential Learning.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, and Mao Yang:
    Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    52 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Brittany Johnson, Christian Bird, Denae Ford, Nicole Forsgren, and Thomas Zimmermann:
    Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nusrat Zahan, Shohanuzzaman Shohan, Dan Harris, and Laurie A. Williams:
    Do Software Security Practices Yield Fewer Vulnerabilities?
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    31 cites at Semantic Scholar
    76% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Priyan Vaithilingam, Elena L. Glassman, Peter Groenwegen, Sumit Gulwani, Austin Z. Henley, Rohan Malpani, David Pugh, Arjun Radhakrishna, Gustavo Soares, Joey Wang, and Aaron Yim:
    Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    29 cites at Semantic Scholar
    64% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang, Anton Kocheturov, Patrick Eisen, and Mohammad Abdullah Al Faruque:
    CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    23 cites at Semantic Scholar
    30% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Bianca Trinkenreich, Klaas-Jan Stol, Igor Steinmacher, Marco Aurélio Gerosa, Anita Sarma, Marcelo Lara, Michael Feathers, Nicholas Ross, and Kevin Bishop:
    A Model for Understanding and Reducing Developer Burnout.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    21 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    A. Finn Hackett, Joshua Rowe, and Markus Alexander Kuppe:
    Understanding Inconsistency in Azure Cosmos DB with TLA+.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    19 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Pablo Valle, Aitor Arrieta, and Maite Arratibel:
    Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: An Industrial Case Study on Elevator Dispatching Algorithms.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, and Dongmei Zhang:
    Aegis: Attribution of Control Plane Change Impact Across Layers and Components for Cloud Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mingrui Zhang, Chijin Zhou, Jianzhong Liu, Mingzhe Wang, Jie Liang, Juan Zhu, and Yu Jiang:
    Daisy: Effective Fuzz Driver Synthesis with Object Usage Sequence Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xing Cui, Jingzheng Wu, Yanjun Wu, Xu Wang, Tianyue Luo, Sheng Qu, Xiang Ling, and Mutian Yang:
    An Empirical Study of License Conflict in Free and Open Source Software.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    CONAN: Diagnosing Batch Failures for Cloud Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, and Wei Jiang:
    An Empirical Study on Change-Induced Incidents of Online Service Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, and Arie van Deursen:
    Using Large-Scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, and Jianjun Zhao:
    Widget Detection-Based Testing for Industrial Mobile Games.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zexin Zhong, Jiangchao Liu, Diyu Wu, Peng Di, Yulei Sui, Alex X. Liu, and John C. S. Lui:
    Scalable Compositional Static Taint Analysis for Sensitive Data Tracing on Industrial Micro-Services.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jianfei Zhou, Tianxing Jiang, Haijun Wang, Meng Wu, and Ting Chen:
    DAppHunter: Identifying Inconsistent Behaviors of Blockchain-Based Decentralized Applications.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Mariam Barry, Albert Bifet, and Jean-Luc Billy:
    StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Quoc-Sang Phan, KimHao Nguyen, and ThanhVu Nguyen:
    The Challenges of Shift Left Static Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Lauren Olson, Emitzá Guzmán, and Florian Kunneman:
    Along the Margins: Marginalized Communities' Ethical Concerns About Social Platforms.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ronnie Edson de Souza Santos, Cleyton V. C. de Magalhães, and Paul Ralph:
    Benefits and Limitations of Remote Work to LGBTQIA+ Software Professionals.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Amel Bennaceur, Diane Hassett, Bashar Nuseibeh, and Andrea Zisman:
    Values@Runtime: An Adaptive Framework for Operationalising Values.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ítalo Santos, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, and Marco Aurélio Gerosa:
    Designing for Cognitive Diversity: Improving the GitHub Experience for Newcomers.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Riya Dutta, Diego Elias Costa, Emad Shihab, and Tanja Tajmel:
    Diversity Awareness in Software Engineering Participant Research.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Saeid Tizpaz-Niari, Verya Monjezi, Morgan Wagner, Shiva Darian, Krystia Reed, and Ashutosh Trivedi:
    Metamorphic Testing and Debugging of Tax Preparation Software.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Huilian Sophie Qiu, Zihe H. Zhao, Tielin Katy Yu, Justin Wang, Alexander Ma, Hongbo Fang, Laura Dabbish, and Bogdan Vasilescu:
    Gender Representation Among Contributors to Open-Source Infrastructure : An Analysis of 20 Package Manager Ecosystems.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Tanjila Kanij, Misita Anwar, Gillian C. Oliver, and Md Khalid Hossain:
    Developing Software for Low Socio-Economic End Users: Lessons Learned from A Case Study of Fisherfolk Communities in Bangladesh.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mehr Vaswani, Dharini Balasubramaniam, and Kenneth Boyd:
    A Novel Approach to Improving the Digital Literacy of Older Adults.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yi Wang, Xinyue Zhang, and Wei Wang:
    Fundamentalists, Integrationists, & Transformationists: An Empirical Theory of Men Software Engineers' Orientations in Gender Inequalities.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xin Zhao and Riley Young:
    Workplace Discrimination in Software Engineering: Where We Stand Today.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Claudia Maria Cutrupi, Irene Zanardi, Letizia Jaccheri, and Monica Landoni:
    Draw a Software Engineer Test - An Investigation into Children's Perceptions of Software Engineering Profession.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Hana Winchester, Alicia E. Boyd, and Brittany Johnson:
    Harmful Terms in Computing: Towards Widespread Detection and Correction.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Irum Rauf, Marian Petre, Thein Than Tun, Tamara Lopez, and Bashar Nuseibeh:
    Security Thinking in Online Freelance Software Development.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Kiev Gama, George Valença, Candy Estelle Marques Laurendon, Ájò Nasidí Marques, Luís Eduardo Ramos, Ravena Amaral, Clarissa Maria Dubeux Lopes Barros, and Guilherme Xavier:
    Hackathons as Inclusive Spaces for Prototyping Software in Open Social Innovation with NGOs.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Cynthia C. S. Liem and Andrew M. Demetriou:
    Treat Societally Impactful Scientific Insights as Open-Source Software Artifacts.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Konstantin Rink, Tristan Gruschka, Patrick Palsbröker, Marcos Báez, Dominic Becking, Udo Seelmeyer, Gudrun Dobslaw, and Patricia Stolz:
    Walking Down the Road to Independent Mobility: An Adaptive Route Training System for the Cognitively Impaired.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Antti Knutas, Dominik Siemon, Natasha Tylosky, and Giovanni Maccani:
    Contradicting Motivations in Civic Tech Software Development: Analysis of a Grassroots Project.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yang Liu, Heather Moses, Mark Sternefeld, Samuel A. Malachowsky, and Daniel E. Krutz:
    Do Users Act Equitably? Understanding User Bias Through a Large In-Person Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Amna Batool, Seng W. Loke, Niroshinie Fernando, and Jonathan Kua:
    Software Engineering for Smart Things in Public Spaces: Initial Insights and Challenges.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2023
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, and Alexey Svyatkovskiy:
    InferFix: End-to-End Program Repair with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    342 cites at Semantic Scholar
    1837% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Emily First, Markus N. Rabe, Talia Ringer, and Yuriy Brun:
    Baldur: Whole-Proof Generation and Repair with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    206 cites at Semantic Scholar
    1067% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Andreas Happe and Jürgen Cito:
    Getting Pwn'd by AI: Penetration Testing with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    189 cites at Semantic Scholar
    970% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Guangba Yu, Pengfei Chen, Yufeng Li, Hongyang Chen, Xiaoyun Li, and Zibin Zheng:
    Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-Modal Observability Data.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    179 cites at Semantic Scholar
    914% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yuxiang Wei, Chunqiu Steven Xia, and Lingming Zhang:
    Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    168 cites at Semantic Scholar
    851% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Weishi Wang, Yue Wang, Shafiq Joty, and Steven C. H. Hoi:
    RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    140 cites at Semantic Scholar
    693% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, and Michael R. Lyu:
    BiasAsker: Measuring the Bias in Conversational AI System.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    110 cites at Semantic Scholar
    523% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Haonan Li, Yu Hao, Yizhuo Zhai, and Zhiyun Qian:
    Assisting Static Analysis with Large Language Models: A ChatGPT Experiment.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    78 cites at Semantic Scholar
    342% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Kaixuan Li, Sen Chen, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, and Yixiang Chen:
    Comparison and Evaluation on Static Application Security Testing (SAST) Tools for Java.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    72 cites at Semantic Scholar
    308% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhensu Sun, Xiaoning Du, Fu Song, and Li Li:
    CodeMark: Imperceptible Watermarking for Code Datasets Against Neural Code Completion Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    72 cites at Semantic Scholar
    308% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, and Xiaoguang Mao:
    CCT5: A Code-Change-Oriented Pre-Trained Model.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    70 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, and Xin Xia:
    Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    68 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    Assess and Summarize: Improve Outage Understanding with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    65 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Lida Zhao, Sen Chen, Zhengzi Xu, Chengwei Liu, Lyuye Zhang, Jiahui Wu, Jun Sun, and Yang Liu:
    Software Composition Analysis for Vulnerability Detection: An Empirical Study on Java Projects.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    46 cites at Semantic Scholar
    161% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jiyang Zhang, Pengyu Nie, Junyi Jessy Li, and Milos Gligoric:
    Multilingual Code Co-Evolution Using Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, and Bing Xiang:
    Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yali Du and Zhongxing Yu:
    Pre-Training Code Representation with Semantic Flow Graph for Effective Bug Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    38 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, and Xiaoguang Mao:
    Natural Language to Code: How Far Are We?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    38 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jiawei Liu, Jinjun Peng, Yuyao Wang, and Lingming Zhang:
    NeuRI: Diversifying DNN Generation via Inductive Rule Inference.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    37 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Emily First, Markus N. Rabe, Talia Ringer, and Yuriy Brun:
    Baldur: Whole-Proof Generation and Repair with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    206 cites at Semantic Scholar
    1067% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Guangba Yu, Pengfei Chen, Yufeng Li, Hongyang Chen, Xiaoyun Li, and Zibin Zheng:
    Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-Modal Observability Data.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    179 cites at Semantic Scholar
    914% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yuxiang Wei, Chunqiu Steven Xia, and Lingming Zhang:
    Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    168 cites at Semantic Scholar
    851% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Weishi Wang, Yue Wang, Shafiq Joty, and Steven C. H. Hoi:
    RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    140 cites at Semantic Scholar
    693% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, and Michael R. Lyu:
    BiasAsker: Measuring the Bias in Conversational AI System.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    110 cites at Semantic Scholar
    523% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Kaixuan Li, Sen Chen, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, and Yixiang Chen:
    Comparison and Evaluation on Static Application Security Testing (SAST) Tools for Java.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    72 cites at Semantic Scholar
    308% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhensu Sun, Xiaoning Du, Fu Song, and Li Li:
    CodeMark: Imperceptible Watermarking for Code Datasets Against Neural Code Completion Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    72 cites at Semantic Scholar
    308% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, and Xiaoguang Mao:
    CCT5: A Code-Change-Oriented Pre-Trained Model.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    70 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, and Xin Xia:
    Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    68 cites at Semantic Scholar
    285% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lida Zhao, Sen Chen, Zhengzi Xu, Chengwei Liu, Lyuye Zhang, Jiahui Wu, Jun Sun, and Yang Liu:
    Software Composition Analysis for Vulnerability Detection: An Empirical Study on Java Projects.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    46 cites at Semantic Scholar
    161% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jiyang Zhang, Pengyu Nie, Junyi Jessy Li, and Milos Gligoric:
    Multilingual Code Co-Evolution Using Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, and Bing Xiang:
    Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yali Du and Zhongxing Yu:
    Pre-Training Code Representation with Semantic Flow Graph for Effective Bug Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    38 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, and Xiaoguang Mao:
    Natural Language to Code: How Far Are We?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    38 cites at Semantic Scholar
    115% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jiawei Liu, Jinjun Peng, Yuyao Wang, and Lingming Zhang:
    NeuRI: Diversifying DNN Generation via Inductive Rule Inference.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    37 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Soneya Binta Hossain, Antonio Filieri, Matthew B. Dwyer, Sebastian G. Elbaum, and Willem Visser:
    Neural-Based Test Oracle Generation: A Large-Scale Evaluation and Lessons Learned.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    35 cites at Semantic Scholar
    98% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, and Baowen Xu:
    Benchmarking Robustness of AI-Enabled Multi-Sensor Fusion Systems: Challenges and Opportunities.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    🏆 Distinguished Paper
    34 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Courtney Miller, Christian Kästner, and Bogdan Vasilescu:
    "We Feel Like We're Winging It: " A Study on Navigating Open-Source Dependency Abandonment.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    34 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, and Hai Jin:
    An Extensive Study on Adversarial Attack Against Pre-Trained Models of Code.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    31 cites at Semantic Scholar
    76% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Kaifeng Huang, Bihuan Chen, Susheng Wu, Junming Cao, Lei Ma, and Xin Peng:
    Demystifying Dependency Bugs in Deep Learning Stack.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2023
    31 cites at Semantic Scholar
    76% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, and Collin McMillan:
    A Language Model of Java Methods with Train/Test Deduplication.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    19 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Amit Seal Ami, Syed Yusuf Ahmed, Radowan Mahmud Redoy, Nathan Cooper, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, and Adwait Nadkarni:
    MASC: A Tool for Mutation-Based Evaluation of Static Crypto-API Misuse Detectors.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jia Le Tian, Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Yiwen Dong, and Chengnian Sun:
    Ad Hoc Syntax-Guided Program Reduction.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Donald Pinckney, Federico Cassano, Arjun Guha, and Jonathan Bell:
    Npm-Follower: A Complete Dataset Tracking the NPM Ecosystem.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiaoyu Sun, Xiao Chen, Yonghui Liu, John C. Grundy, and Li Li:
    LazyCow: A Lightweight Crowdsourced Testing Tool for Taming Android Fragmentation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Prianka Mandal, Sunil Manandhar, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, and Adwait Nadkarni:
    Helion: Enabling Natural Testing of Smart Homes.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, and Steffen Herbold:
    On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, and Gabriele Bavota:
    CONAN: Statically Detecting Connectivity Issues in Android Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ruiling Chen, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang:
    llvm2CryptoLine: Verifying Arithmetic in Cryptographic C Programs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shriram Shanbhag, Sridhar Chimalakonda, Vibhu Saujanya Sharma, and Vikrant Kaulgud:
    DENT: A Tool for Tagging Stack Overflow Posts with Deep Learning Energy Patterns.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Chong Ye and Fei He:
    P4b: A Translator from P4 Programs to Boogie.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Soumik Mohian, Tony Tang, Tuan Trinh, Don Dang, and Christoph Csallner:
    D2S2: Drag 'N' Drop Mobile App Screen Search.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2023
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Ideas, Visions, and Reflections (IVR) ⌄

  1. 1
    Andreas Happe and Jürgen Cito:
    Getting Pwn'd by AI: Penetration Testing with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    189 cites at Semantic Scholar
    970% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Haonan Li, Yu Hao, Yizhuo Zhai, and Zhiyun Qian:
    Assisting Static Analysis with Large Language Models: A ChatGPT Experiment.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    78 cites at Semantic Scholar
    342% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ramtin Ehsani, Rezvaneh Rezapour, and Preetha Chatterjee:
    Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Jacob Krüger, Yi Li, Chenguang Zhu, Marsha Chechik, Thorsten Berger, and Julia Rubin:
    A Vision on Intentions in Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Felipe Toledo, David Shriver, Sebastian G. Elbaum, and Matthew B. Dwyer:
    Deeper Notions of Correctness in Image-Based DNNs: Lifting Properties from Pixel to Entities.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, and James C. Davis:
    Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Amirali Sajadi, Kostadin Damevski, and Preetha Chatterjee:
    Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Supatsara Wattanakriengkrai, Raula Gaikovina Kula, Christoph Treude, and Kenichi Matsumoto:
    Lessons from the Long Tail: Analysing Unsafe Dependency Updates Across Software Ecosystems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Boyue Caroline Hu and Marsha Chechik:
    Towards Feature-Based Analysis of the Machine Learning Development Lifecycle.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Maxime Cordy, Sami Lazreg, Axel Legay, and Pierre-Yves Schobbens:
    Towards Strengthening Formal Specifications with Mutation Model Checking.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jian Gu and Harald C. Gall:
    Towards Top-Down Automated Development in Limited Scopes: A Neuro-Symbolic Framework from Expressibles to Executables.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Milos Ojdanic, Mike Papadakis, and Mark Harman:
    Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Vincenzo Orrei, Marco Raglianti, Csaba Nagy, and Michele Lanza:
    Contribution-Based Firing of Developers?
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, and Alexey Svyatkovskiy:
    InferFix: End-to-End Program Repair with LLMs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    342 cites at Semantic Scholar
    1837% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    Assess and Summarize: Improve Outage Understanding with Large Language Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    65 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, and Jonathan Mace:
    Detection Is Better Than Cure: A Cloud Incidents Perspective.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    30 cites at Semantic Scholar
    70% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Andreas Happe and Jürgen Cito:
    Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    25 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tamás Szabó:
    Incrementalizing Production CodeQL Analyses.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhe Xie, Changhua Pei, Wanxue Li, Huai Jiang, Liangfei Su, Jianhui Li, Gaogang Xie, and Dan Pei:
    From Point-Wise to Group-Wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, and Dongmei Zhang:
    STEAM: Observability-Preserving Trace Sampling.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yuchen Zhang, Ashish Kundu, Georgios Portokalidis, and Jun Xu:
    On the Dual Nature of Necessity in Use of Rust Unsafe Code.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    17 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, and Yuetang Deng:
    A Unified Framework for Mini-Game Testing: Experience on WeChat.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Umme Ayman Koana, Francis Chew, Chris Carlson, and Maleknaz Nayebi:
    Ownership in the Hands of Accountability at Brightsquid: A Case Study and a Developer Survey.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chengjie Lu, Qinghua Xu, Tao Yue, Shaukat Ali, Thomas Schwitalla, and Jan Nygård:
    EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Hassan Sartaj, Shaukat Ali, Tao Yue, and Kjetil Moberg:
    Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Subarno Banerjee, Siwei Cui, Michael Emmi, Antonio Filieri, Liana Hadarean, Peixuan Li, Linghui Luo, Goran Piskachev, Nicolás Rosner, Aritra Sengupta, Omer Tripp, and Jingbo Wang:
    Compositional Taint Analysis for Enforcing Security Policies at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Federico Formica, Nicholas Petrunti, Lucas Bruck, Vera Pantelic, Mark Lawford, and Claudio Menghi:
    Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Haotian Si, Changhua Pei, Zhihan Li, Yadong Zhao, Jingjing Li, Haiming Zhang, Zulong Diao, Jianhui Li, Gaogang Xie, and Dan Pei:
    Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Qinghua Xu, Shaukat Ali, Tao Yue, Zaimovic Nedim, and Inderjeet Singh:
    KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang:
    Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Xiaoyun Liang, Jiayi Qi, Yongqiang Gao, Chao Peng, and Ping Yang:
    AG3: Automated Game GUI Text Glitch Detection Based on Computer Vision.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Will Shackleton, Katriel Cohn-Gordon, Peter C. Rigby, Rui Abreu, James Gill, Nachiappan Nagappan, Karim Nakad, Ioannis Papagiannis, Luke Petre, Giorgi Megreli, Patrick Riggs, and James Saindon:
    Dead Code Removal at Meta: Automatically Deleting Millions of Lines of Code and Petabytes of Deprecated Data.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, and Michael R. Lyu:
    What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    154 cites at Semantic Scholar
    772% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Quanjun Zhang, Chunrong Fang, Tongke Zhang, Bowen Yu, Weisong Sun, and Zhenyu Chen:
    Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    101 cites at Semantic Scholar
    472% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Wenbo Guo, Zhengzi Xu, Chengwei Liu, Cheng Huang, Yong Fang, and Yang Liu:
    An Empirical Study of Malicious Code In PyPI Ecosystem.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    99 cites at Semantic Scholar
    461% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Kai Huang, Xiangxin Meng, Jian Zhang, Yang Liu, Wenjie Wang, Shuhao Li, and Yuqing Zhang:
    An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    90 cites at Semantic Scholar
    410% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tsz On Li, Wenxi Zong, Yibo Wang, Haoye Tian, Ying Wang, Shing-Chi Cheung, and Jeff Kramer:
    Nuances Are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    85 cites at Semantic Scholar
    381% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J. Hellendoorn:
    CAT-LM Training Language Models on Aligned Code And Tests.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    85 cites at Semantic Scholar
    381% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Toufique Ahmed and Premkumar T. Devanbu:
    Better Patching Using LLM Prompting, via Self-Consistency.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    71 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Van-Hoang Le and Hongyu Zhang:
    Log Parsing: How Far Can ChatGPT Go?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    64 cites at Semantic Scholar
    262% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, and Beijun Shen:
    On the Evaluation of Neural Code Translation: Taxonomy and Benchmark.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    61 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Mingwei Liu, Tianyong Yang, Yiling Lou, Xueying Du, Ying Wang, and Xin Peng:
    CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    61 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Myeongsoo Kim, Saurabh Sinha, and Alessandro Orso:
    Adaptive REST API Testing with Reinforcement Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    57 cites at Semantic Scholar
    223% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ze Tang, Jidong Ge, Shangqing Liu, Tingwei Zhu, Tongtong Xu, Liguo Huang, and Bin Luo:
    Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    51 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Zhao Tian, Junjie Chen, and Zhi Jin:
    Code Difference Guided Adversarial Example Generation for Deep Code Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    51 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xiaoxue Ren, Xinyuan Ye, Dehai Zhao, Zhenchang Xing, and Xiaohu Yang:
    From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    50 cites at Semantic Scholar
    183% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Chunyang Meng, Shijie Song, Haogang Tong, Maolin Pan, and Yang Yu:
    DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    48 cites at Semantic Scholar
    172% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Robert Feldt, Sungmin Kang, Juyeon Yoon, and Shin Yoo:
    Towards Autonomous Testing Agents via Conversational Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    45 cites at Semantic Scholar
    155% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Jun Huang, Yang Yang, Hang Yu, Jianguo Li, and Xiao Zheng:
    Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    44 cites at Semantic Scholar
    149% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xin-Cheng Wen, Xinchen Wang, Cuiyun Gao, Shaohua Wang, Yang Liu, and Zhaoquan Gu:
    When Less Is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, and Timofey Bryksin:
    From Commit Message Generation to History-Aware Commit Message Completion.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    42 cites at Semantic Scholar
    138% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Chunqiu Steven Xia, Yifeng Ding, and Lingming Zhang:
    The Plastic Surgery Hypothesis in the Era of Large Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    42 cites at Semantic Scholar
    138% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, and Lingming Zhang:
    Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    408 cites at Semantic Scholar
    2211% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah:
    How Effective Are Neural Networks for Fixing Security Vulnerabilities.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chaofan Shou, Shangyin Tan, and Koushik Sen:
    ItyFuzz: Snapshot-Based Fuzzer for Smart Contract.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    109 cites at Semantic Scholar
    517% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Karine Even-Mendoza, Arindam Sharma, Alastair F. Donaldson, and Cristian Cadar:
    GrayC: Greybox Fuzzing of Compilers and Analysers for C.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    🏆 Distinguished Paper
    83 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Mingfei Cheng, Yuan Zhou, and Xiaofei Xie:
    BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    71 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, and Hongbin Sun:
    Towards Efficient Fine-Tuning of Pre-Trained Code Models: An Experimental Study and Beyond.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    67 cites at Semantic Scholar
    279% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lei Cui, Jiancong Cui, Yuede Ji, Zhiyu Hao, Lun Li, and Zhenquan Ding:
    API2Vec: Learning Representations of API Sequences for Malware Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    59 cites at Semantic Scholar
    234% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yiheng Xiong, Mengqian Xu, Ting Su, Jingling Sun, Jue Wang, He Wen, Geguang Pu, Jifeng He, and Zhendong Su:
    An Empirical Study of Functional Bugs in Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    🏆 Distinguished Paper
    58 cites at Semantic Scholar
    228% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang, and Zibin Zheng:
    DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    56 cites at Semantic Scholar
    217% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shuo Yang, Jiachi Chen, and Zibin Zheng:
    Definition and Detection of Defects in NFT Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    53 cites at Semantic Scholar
    200% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Myeongsoo Kim, Davide Corradini, Saurabh Sinha, Alessandro Orso, Michele Pasqua, Rachel Tzoref-Brill, and Mariano Ceccato:
    Enhancing REST API Testing with NLP Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    52 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xiangzhe Xu, Shiwei Feng, Yapeng Ye, Guangyu Shen, Zian Su, Siyuan Cheng, Guanhong Tao, Qingkai Shi, Zhuo Zhang, and Xiangyu Zhang:
    Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    51 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Tian Tan and Yue Li:
    Tai-E: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    49 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, and Shing-Chi Cheung:
    Fuzzing Deep Learning Compilers with HirGen.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    48 cites at Semantic Scholar
    172% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mayank Sharma, Pingshi Yu, and Alastair F. Donaldson:
    RustSmith: Random Differential Compiler Testing for Rust.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    47 cites at Semantic Scholar
    166% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Xudong Zhang and Yan Cai:
    Building Critical Testing Scenarios for Autonomous Driving from Real Accidents.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    45 cites at Semantic Scholar
    155% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yisong Xiao, Aishan Liu, Tianlin Li, and Xianglong Liu:
    Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    44 cites at Semantic Scholar
    149% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Matteo Kamm, Manuel Rigger, Chengyu Zhang, and Zhendong Su:
    Testing Graph Database Engines via Query Partitioning.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Kai Cheng, Yaowen Zheng, Tao Liu, Le Guan, Peng Liu, Hong Li, Hongsong Zhu, Kejiang Ye, and Limin Sun:
    Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yihong Dong, Ge Li, and Zhi Jin:
    CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, and Lingming Zhang:
    Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    408 cites at Semantic Scholar
    2211% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah:
    How Effective Are Neural Networks for Fixing Security Vulnerabilities.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    174 cites at Semantic Scholar
    885% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chaofan Shou, Shangyin Tan, and Koushik Sen:
    ItyFuzz: Snapshot-Based Fuzzer for Smart Contract.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    109 cites at Semantic Scholar
    517% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Karine Even-Mendoza, Arindam Sharma, Alastair F. Donaldson, and Cristian Cadar:
    GrayC: Greybox Fuzzing of Compilers and Analysers for C.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    🏆 Distinguished Paper
    83 cites at Semantic Scholar
    370% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Mingfei Cheng, Yuan Zhou, and Xiaofei Xie:
    BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    71 cites at Semantic Scholar
    302% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, and Hongbin Sun:
    Towards Efficient Fine-Tuning of Pre-Trained Code Models: An Experimental Study and Beyond.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    67 cites at Semantic Scholar
    279% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lei Cui, Jiancong Cui, Yuede Ji, Zhiyu Hao, Lun Li, and Zhenquan Ding:
    API2Vec: Learning Representations of API Sequences for Malware Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    59 cites at Semantic Scholar
    234% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yiheng Xiong, Mengqian Xu, Ting Su, Jingling Sun, Jue Wang, He Wen, Geguang Pu, Jifeng He, and Zhendong Su:
    An Empirical Study of Functional Bugs in Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    🏆 Distinguished Paper
    58 cites at Semantic Scholar
    228% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang, and Zibin Zheng:
    DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    56 cites at Semantic Scholar
    217% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shuo Yang, Jiachi Chen, and Zibin Zheng:
    Definition and Detection of Defects in NFT Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    53 cites at Semantic Scholar
    200% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Myeongsoo Kim, Davide Corradini, Saurabh Sinha, Alessandro Orso, Michele Pasqua, Rachel Tzoref-Brill, and Mariano Ceccato:
    Enhancing REST API Testing with NLP Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    52 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xiangzhe Xu, Shiwei Feng, Yapeng Ye, Guangyu Shen, Zian Su, Siyuan Cheng, Guanhong Tao, Qingkai Shi, Zhuo Zhang, and Xiangyu Zhang:
    Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    51 cites at Semantic Scholar
    189% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Tian Tan and Yue Li:
    Tai-E: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    49 cites at Semantic Scholar
    178% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, and Shing-Chi Cheung:
    Fuzzing Deep Learning Compilers with HirGen.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    48 cites at Semantic Scholar
    172% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xudong Zhang and Yan Cai:
    Building Critical Testing Scenarios for Autonomous Driving from Real Accidents.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    45 cites at Semantic Scholar
    155% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yisong Xiao, Aishan Liu, Tianlin Li, and Xianglong Liu:
    Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    44 cites at Semantic Scholar
    149% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Matteo Kamm, Manuel Rigger, Chengyu Zhang, and Zhendong Su:
    Testing Graph Database Engines via Query Partitioning.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    40 cites at Semantic Scholar
    127% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kai Cheng, Yaowen Zheng, Tao Liu, Le Guan, Peng Liu, Hong Li, Hongsong Zhu, Kejiang Ye, and Limin Sun:
    Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yihong Dong, Ge Li, and Zhi Jin:
    CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Zhongxin Liu, Kui Liu, Xin Xia, and Xiaohu Yang:
    Towards More Realistic Evaluation for Neural Test Oracle Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Mayank Sharma, Pingshi Yu, and Alastair F. Donaldson:
    RustSmith: Random Differential Compiler Testing for Rust.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    47 cites at Semantic Scholar
    166% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Konstantinos Sagonas and Thanasis Typaldos:
    EDHOC-Fuzzer: An EDHOC Protocol State Fuzzer.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Sven Peldszus, Noubar Akopian, and Thorsten Berger:
    RobotBT: Behavior-Tree-Based Test-Case Specification for the Robot Framework.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, and Heyuan Shi:
    KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Daniel Schemmel, Julian Büning, Frank Busse, Martin Nowack, and Cristian Cadar:
    KDAlloc: The KLEE Deterministic Allocator: Deterministic Memory Allocation During Symbolic Execution and Test Case Replay.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Frédéric Tuong, Mohammad Omidvar Tehrani, Marco Gaboardi, and Steven Y. Ko:
    SymRustC: A Hybrid Fuzzer for Rust.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    4 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Francisco Ferreira and Sung-Shik Jongmans:
    Oven: Safe and Live Communication Protocols in Scala, Using Synthetic Behavioural Type Analysis.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Austin Mordahl, Dakota Soles, Miao Miao, Zenong Zhang, and Shiyi Wei:
    ECSTATIC: Automatic Configuration-Aware Testing and Debugging of Static Analysis Tools.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    3 cites at Semantic Scholar
    -83% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yuhao Zhou and Wei Song:
    DDLDroid: A Static Analyzer for Automatically Detecting Data Loss Issues in Android Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    2 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Roland Kuhn and Alan Darmasaputra:
    Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Facundo Molina, Pablo Ponzio, Nazareno Aguirre, and Marcelo F. Frias:
    EvoSpex: A Search-Based Tool for Postcondition Inference.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    1 cites at Semantic Scholar
    -94% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ziyad Alsaeed and Michal Young:
    TreeLine and SlackLine: Grammar-Based Performance Fuzzing on Coffee Break.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Sunzhou Huang and Xiaoyin Wang:
    PExReport-Maven: Creating Pruned Executable Cross-Project Failure Reports in Maven Build System.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Frederico Ramos, Diogo Costa Reis, Miguel Trigo, António Morgado, and José Fragoso Santos:
    MetaData262: Automatic Test Suite Selection for Partial JavaScript Implementations.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2023
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra, and Riccardo Scandariato:
    LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    128 cites at Semantic Scholar
    625% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, and Emily Morgan:
    Large Language Models and Simple, Stupid Bugs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    112 cites at Semantic Scholar
    534% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, and David Lo:
    What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    44 cites at Semantic Scholar
    149% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, and Nachiappan Nagappan:
    Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Seif Abukhalaf, Mohammad Hamdaqa, and Foutse Khomh:
    On Codex Prompt Engineering for OCL Generation: An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Christoph Treude and Hideaki Hata:
    She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    35 cites at Semantic Scholar
    98% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ruben Opdebeeck, Ahmed Zerouali, and Coen De Roover:
    Control and Data Flow in Security Smell Detection for Infrastructure as Code: Is It Worth the Effort?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    34 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, and Lingxiao Jiang:
    MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    30 cites at Semantic Scholar
    70% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, and Steven H. H. Ding:
    Understanding the Time to First Response in GitHub Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    27 cites at Semantic Scholar
    53% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, and James C. Davis:
    PTMTorrent: A Dataset for Mining Open-Source Pre-Trained Model Packages.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    27 cites at Semantic Scholar
    53% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, and Laurie A. Williams:
    SecretBench: A Dataset of Software Secrets.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Tim van Dam, Maliheh Izadi, and Arie van Deursen:
    Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    22 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Chengjie Lu, Tao Yue, and Shaukat Ali:
    DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    22 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Donald Pinckney, Federico Cassano, Arjun Guha, and Jonathan Bell:
    A Large Scale Analysis of Semantic Versioning in NPM.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    21 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, and Ildar Akhmetov:
    PyMigBench: A Benchmark for Python Library Migration.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Henry Tang and Sarah Nadi:
    Evaluating Software Documentation Quality.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Chao Wang, Zhenpeng Chen, and Minghui Zhou:
    AutoML from Software Engineering Perspective: Landscapes and Challenges.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    🏆 Distinguished Paper
    19 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Wenhao Ma, Yaoxiang Yu, Xiaoming Ruan, and Bo Cai:
    Pre-Trained Model Based Feature Envy Detection.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Hamid Mohayeji, Andrei Agaronian, Eleni Constantinou, Nicola Zannone, and Alexander Serebrenik:
    Investigating the Resolution of Vulnerable Dependencies with Dependabot Security Updates.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    🏆 Distinguished Paper
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ahmed Zerouali, Ruben Opdebeeck, and Coen De Roover:
    Helm Charts for Kubernetes Applications: Evolution, Outdatedness and Security Risks.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, and Arie van Deursen:
    Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    53 cites at Semantic Scholar
    200% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Amir M. Mir, Mehdi Keshani, and Sebastian Proksch:
    On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    43 cites at Semantic Scholar
    144% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Christos Tsigkanos, Pooja Rani, Sebastian Müller, and Timo Kehrer:
    Large Language Models: The Next Frontier for Variable Discovery Within Metamorphic Testing?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    27 cites at Semantic Scholar
    53% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Adem Ait, Javier Luis Cánovas Izquierdo, and Jordi Cabot:
    HFCommunity: A Tool to Analyze the Hugging Face Hub Community.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, and Xiangke Liao:
    MulCS: Towards a Unified Deep Representation for Multilingual Code Search.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Haiqiao Gu, Hao He, and Minghui Zhou:
    Self-Admitted Library Migrations in Java, JavaScript, and Python Packaging Ecosystems: A Comparative Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Oussama Ben Sghaier and Houari A. Sahraoui:
    A Multi-Step Learning Approach to Assist Code Review.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    23 cites at Semantic Scholar
    30% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, and Deli Yu:
    Extended Abstract of SeCNN: A Semantic CNN Parser for Code Comment Generation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    21 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, and Una-May O'Reilly:
    ClawSAT: Towards Both Robust and Accurate Code Models.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xiangwei Li, Xiaoning Ren, Yinxing Xue, Zhenchang Xing, and Jiamou Sun:
    Prediction of Vulnerability Characteristics Based on Vulnerability Description and Prompt Learning.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    19 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yue Wang, Zhide Zhou, Zhilei Ren, Dong Liu, and He Jiang:
    A Comprehensive Study of WebAssembly Runtime Bugs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    19 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Gabriela Karoline Michelon, Wesley K. G. Assunção, Paul Grünbacher, and Alexander Egyed:
    Analysis and Propagation of Feature Revisions in Preprocessor-Based Software Product Lines.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, and Chunyang Chen:
    D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, and Jianjun Zhao:
    MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yuewei Li, Yan Lu, Jingyu Wang, Qi Qi, Jing Wang, Yingying Wang, and Jianxin Liao:
    TADL: Fault Localization with Transformer-Based Anomaly Detection for Dynamic Microservice Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Xiaocong Zhou, Yingye Chen, Hanyang Guo, Xiangping Chen, and Yuan Huang:
    Security Code Recommendations for Smart Contract.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zarrin Tasnim Sworna, Muhammad Ali Babar, and Anjitha Sreekumar:
    IRP2API: Automated Mapping of Cyber Security Incident Response Plan to Security Tools' APIs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, and Yang Liu:
    Learning Program Representations with a Tree-Structured Transformer.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jianyu Wu, Weiwei Xu, Kai Gao, Jingyue Li, and Minghui Zhou:
    Characterize Software Release Notes of GitHub Projects: Structure, Writing Style, and Content.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yao Hao, Zhiqiu Huang, Hongjing Guo, and Guohua Shen:
    Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-Omari, Chanchal K. Roy, Banani Roy, and Kevin A. Schneider:
    GPTCloneBench: A Comprehensive Benchmark of Semantic Clones and Cross-Language Clones Using GPT-3 Model and SemanticCloneBench.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sabato Nocera, Simone Romano, Massimiliano Di Penta, Rita Francese, and Giuseppe Scanniello:
    Software Bill of Materials Adoption: A Mining Study from GitHub.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    39 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, and David Lo:
    CCBERT: Self-Supervised Code Change Representation Learning.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    29 cites at Semantic Scholar
    64% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Daniel Rodríguez-Cárdenas, David N. Palacio, Dipin Khati, Henry Burke, and Denys Poshyvanyk:
    Benchmarking Causal Study to Interpret Large Language Models for Source Code.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    27 cites at Semantic Scholar
    53% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, and Zibin Zheng:
    You Augment Me: Exploring ChatGPT-Based Data Augmentation for Semantic Code Search.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Marcel Valový and Alena Buchalcevová:
    The Psychological Effects of AI-Assisted Programming on Students and Professionals.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Danilo Leandro Lima, Ronnie Edson de Souza Santos, Guilherme Pires Garcia, Sildemir S. da Silva, César França, and Luiz Fernando Capretz:
    Software Testing and Code Refactoring: A Survey with Practitioners.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    17 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yifan Zhao, Dan Hao, and Lu Zhang:
    Revisiting Machine Learning Based Test Case Prioritization for Continuous Integration.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Shumei Wu, Zheng Li, Yong Liu, Xiang Chen, and Mingyu Li:
    GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sichong Hao, Xianjun Shi, Hongwei Liu, and Yanjun Shu:
    Enhancing Code Language Models for Program Repair by Curricular Fine-Tuning Framework.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Vinay Kabadi, Dezhen Kong, Siyu Xie, Lingfeng Bao, Gede Artha Azriadi Prana, Tien-Duy B. Le, Xuan-Bach Dinh Le, and David Lo:
    The Future Can't Help Fix The Past: Assessing Program Repair In The Wild.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mansour Sami, Ashkan Sami, and Peter J. Barclay:
    A Case Study of Fairness in Generated Images of Large Language Models for Software Engineering Tasks.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Brennan Wilkes, Alessandra Maciel Paz Milani, and Margaret-Anne D. Storey:
    A Framework for Automating the Measurement of DevOps Research and Assessment (DORA) Metrics.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Wen Siang Tan, Markus Wagner, and Christoph Treude:
    Wait, Wasn't That Code Here Before? Detecting Outdated Software Documentation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mingwei Liu, Simin Yu, Xin Peng, Xueying Du, Tianyong Yang, Huanjun Xu, and Gaoyang Zhang:
    Knowledge Graph Based Explainable Question Retrieval for Programming Tasks.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Quang-Cuong Bui, Malte Laukötter, and Riccardo Scandariato:
    DockerCleaner: Automatic Repair of Security Smells in Dockerfiles.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Carlos Eduardo de Carvalho Dantas, Adriano M. Rocha, and Marcelo de Almeida Maia:
    How Do Developers Improve Code Readability? An Empirical Study of Pull Requests.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    10 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, and Muhammad Raza:
    An Empirical Study on Bugs Inside PyTorch: A Replication Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yikun Li, Mohamed Soliman, Paris Avgeriou, and Maarten van Ittersum:
    DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Nikolaos Louloudakis, Perry Gibson, José Cano, and Ajitha Rajan:
    DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, and Michael R. Lyu:
    Loghub: A Large Collection of System Log Datasets for AI-Driven Log Analytics.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    314 cites at Semantic Scholar
    1678% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Junyi Lu, Lei Yu, Xiaojia Li, Li Yang, and Chun Zuo:
    LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models Through Parameter-Efficient Fine-Tuning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    131 cites at Semantic Scholar
    642% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    André Storhaug, Jingyue Li, and Tianyuan Hu:
    Efficient Avoidance of Vulnerabilities in Auto-Completed Smart Contract Code Using Vulnerability-Constrained Decoding.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    37 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ehsan Mashhadi, Hossein Ahmadvand, and Hadi Hemmati:
    Method-Level Bug Severity Prediction Using Source Code Metrics and LLMs.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    29 cites at Semantic Scholar
    64% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Udit Kumar Agarwal, Abraham Chan, and Karthik Pattabiraman:
    Resilience Assessment of Large Language Models Under Transient Hardware Faults.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Philipp Straubinger and Gordon Fraser:
    A Survey on What Developers Think About Testing.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lei Yu, Junyi Lu, Xianglong Liu, Li Yang, Fengjun Zhang, and Jiajia Ma:
    PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    24 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Chiming Duan, Tong Jia, Huaqian Cai, Ying Li, and Gang Huang:
    AFALog: A General Augmentation Framework for Log-Based Anomaly Detection with Active Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    22 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, and Michael R. Lyu:
    EvLog: Identifying Anomalous Logs over Software Evolution.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    20 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shiming He, Ying Lei, Ying Zhang, Kun Xie, and Pradip Kumar Sharma:
    Parameter-Efficient Log Anomaly Detection Based on Pre-Training Model and LORA.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, Yuan Zhou, Yan-Fu Li, and Yinxing Xue:
    EvoScenario: Integrating Road Structures into Critical Scenario Generation for Autonomous Driving System Testing.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    18 cites at Semantic Scholar
    2% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Jie Shi, Sihang Jiang, Bo Xu, Jiaqing Liang, Yanghua Xiao, and Wei Wang:
    ShellGPT: Generative Pre-Trained Transformer Model for Shell Language Understanding.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Stefan Petrescu, Floris den Hengst, Alexandru Uta, and Jan S. Rellermeyer:
    Log Parsing Evaluation in the Era of Modern Software Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, and Nachiappan Nagappan:
    Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiaoda Xie, Songlei Jian, Chenlin Huang, Fengyuan Yu, and Yunjia Deng:
    LogRep: Log-Based Anomaly Detection by Representing Both Semantic and Numeric Information in Raw Messages.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Shenglin Zhang, Zhongjie Pan, Heng Liu, Pengxiang Jin, Yongqian Sun, Qianyu Ouyang, Jiaju Wang, Xueying Jia, Yuzhi Zhang, Hui Yang, Yongqiang Zou, and Dan Pei:
    Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    14 cites at Semantic Scholar
    -21% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, and Michael R. Lyu:
    Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xutan Peng, Yipeng Zhang, Jingfeng Yang, and Mark Stevenson:
    On the Vulnerabilities of Text-to-SQL Models.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, and Dan Pei:
    AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Kairui Wang, Yawen Wang, Junjie Wang, and Qing Wang:
    Fuzzing with Sequence Diversity Inference for Sequential Decision-Making Model Testing.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Sajad Khatiri, Sebastiano Panichella, and Paolo Tonella:
    Simulation-Based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    64 cites at Semantic Scholar
    262% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Maurizio Leotta, Boni García, Filippo Ricca, and Jim Whitehead:
    Challenges of End-to-End Testing with Selenium WebDriver and How to Face Them: A Survey.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    41 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nadia Alshahwan, Mark Harman, and Alexandru Marginean:
    Software Testing Research Challenges: An Industrial Perspective.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    30 cites at Semantic Scholar
    70% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Andrea Arcuri, Man Zhang, Amid Golmohammadi, Asma Belhadi, Juan P. Galeotti, Bogdan Marculescu, and Susruthan Seran:
    EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    26 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, and Giuliano Antoniol:
    Mutation Testing of Deep Reinforcement Learning Based on Real Faults.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    16 cites at Semantic Scholar
    -9% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, and Shin Yoo:
    Repairing DNN Architecture: Are We There Yet?
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Martin Gruber, Michael Heine, Norbert Oster, Michael Philippsen, and Gordon Fraser:
    Practical Flaky Test Prediction Using Common Code Evolution and Test History Data.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Noor Nashid, Mifta Sintaha, and Ali Mesbah:
    Embedding Context as Code Dependencies for Neural Program Repair.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Michel Nass, Emil Alégroth, Robert Feldt, and Riccardo Coppola:
    Robust Web Element Identification for Evolving Applications by Considering Visual Overlaps.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ermanno Battista, Sergio Di Martino, Sergio Di Meglio, Fabio Scippacercola, and Luigi Libero Lucio Starace:
    E2E-Loader: A Framework to Support Performance Testing of Web Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Andrew G. Clark, Michael Foster, Neil Walkinshaw, and Robert M. Hierons:
    Metamorphic Testing with Causal Graphs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Alastair F. Donaldson, Ben Clayton, Ryan Harrison, Hasan Mohsin, David Neto, Vasyl Teliman, and Hana Watson:
    Industrial Deployment of Compiler Fuzzing Techniques for Two GPU Shading Languages.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Tim A. D. Henderson, Bobby Dorward, Eric Nickell, Collin Johnston, and Avi Kondareddy:
    Flake Aware Culprit Finding.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, and David Lo:
    ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Ezio Bartocci, Leonardo Mariani, Dejan Nickovic, and Drishti Yadav:
    Property-Based Mutation Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Michael Auer, Andreas Stahlbauer, and Gordon Fraser:
    Android Fuzzing: Balancing User-Inputs and Intents.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Davide Li Calsi, Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, and Fuyuki Ishikawa:
    Distributed Repair of Deep Neural Networks.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Gregory Gay and Alireza Salahirad:
    How Closely Are Common Mutation Operators Coupled to Real Faults?
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiayuan Liang, Sinan Wang, Xiangbo Deng, and Yepang Liu:
    RIDA: Cross-App Record and Replay for Android.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, and Tim Leek:
    Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, and David Lo:
    Generation-Based Code Review Automation: How Far Are Weƒ.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    36 cites at Semantic Scholar
    104% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Amr S. Abdelfattah, Tomás Cerný, Davide Taibi, and Sira Vegas:
    Comparing 2D and Augmented Reality Visualizations for Microservice System Understandability: A Controlled Experiment.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Di Cui, Qiangqiang Wang, Siqi Wang, Jianlei Chi, Jianan Li, Lu Wang, and Qingshan Li:
    REMS: Recommending Extract Method Refactoring Opportunities via Multi-View Representation of Code Property Graph.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    15 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, and Zhi Jin:
    Interpretation-Based Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    13 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Eunjong Choi, Norihiro Fuke, Yuji Fujiwara, Norihiro Yoshida, and Katsuro Inoue:
    Investigating the Generalizability of Deep Learning-Based Clone Detectors.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zejian Shi, Yun Xiong, Yao Zhang, Zhijie Jiang, Jinjing Zhao, Lei Wang, and Shanshan Li:
    Improving Code Search with Multi-Modal Momentum Contrastive Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    12 cites at Semantic Scholar
    -32% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Subroto Nag Pinku, Debajyoti Mondal, and Chanchal K. Roy:
    Pathways to Leverage Transcompiler Based Data Augmentation for Cross-Language Clone Detection.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jie Zhu, Lingwei Li, Li Yang, Xiaoxiao Ma, and Chun Zuo:
    Automating Method Naming with Context-Aware Prompt-Tuning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    11 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, and Bing Li:
    Understanding Bugs in Multi-Language Deep Learning Frameworks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Kechi Zhang, Zhuo Li, Zhi Jin, and Ge Li:
    Implant Global and Local Hierarchy Information to Sequence Based Code Representation Models.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    9 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yan Lei, Tiantian Wen, Huan Xie, Lingfeng Fu, Chunyan Liu, Lei Xu, and Hongxia Sun:
    Mitigating the Effect of Class Imbalance in Fault Localization Using Context-Aware Generative Adversarial Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, and Lexiao Zhang:
    FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    8 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pattarakrit Rattanukul, Chansida Makaranond, Pumipat Watanakulcharus, Chaiyong Ragkhitwetsagul, Tanapol Nearunchorn, Vasaka Visoottiviseth, Morakot Choetkiertikul, and Thanwadee Sunetnanta:
    Microusity: A Testing Tool for Backends for Frontends (BFF) Microservice Systems.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    7 cites at Semantic Scholar
    -60% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Claudio Ferretti and Martina Saletta:
    Naturalness in Source Code Summarization. How Significant Is It?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mridha Md. Nafis Fuad and Kazi Sakib:
    WebEV: A Dataset on the Behavior of Testers for Web Application End to End Testing.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Gianlorenzo Occhipinti, Csaba Nagy, Roberto Minelli, and Michele Lanza:
    SYN: Ultra-Scale Software Evolution Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Patrick Rein, Tom Beckmann, Eva Krebs, Toni Mattis, and Robert Hirschfeld:
    Too Simple? Notions of Task Complexity Used in Maintenance-Based Studies of Programming Tools.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    6 cites at Semantic Scholar
    -66% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ramin Shahbazi and Fatemeh Hendijani Fard:
    APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yanqi Su, Zheming Han, Zhipeng Gao, Zhenchang Xing, Qinghua Lu, and Xiwei Xu:
    Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, and Kamal Al-Sabahi:
    An Extensive Study of the Structure Features in Transformer-Based Code Semantic Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2023
    5 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2022 normalized by age ⌄

  1. 1
    Michael Fu and Chakkrit Tantithamthavorn:
    LineVul: A Transformer-Based Line-Level Vulnerability Prediction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    🏆 Distinguished Paper
    566 cites at Semantic Scholar
    2221% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Nhan Nguyen and Sarah Nadi:
    An Empirical Evaluation of GitHub Copilot's Code Suggestions.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    409 cites at Semantic Scholar
    1577% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Toufique Ahmed and Premkumar T. Devanbu:
    Few-Shot Training LLMs for Project-Specific Code-Summarization.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    368 cites at Semantic Scholar
    1409% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chunqiu Steven Xia and Lingming Zhang:
    Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-Shot Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    310 cites at Semantic Scholar
    1171% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, and Dinh Q. Phung:
    VulRepair: A T5-Based Automated Software Vulnerability Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    303 cites at Semantic Scholar
    1143% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Van-Hoang Le and Hongyu Zhang:
    Log-Based Anomaly Detection with Deep Learning: How Far Are We?
    International Conference on Software Engineering (ICSE), 2022
    296 cites at Semantic Scholar
    1114% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, and Neel Sundaresan:
    Automating Code Review Activities by Large-Scale Pre-Training.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    293 cites at Semantic Scholar
    1102% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    David Hin, Andrey Kan, Huaming Chen, and Muhammad Ali Babar:
    LineVD: Statement-Level Vulnerability Detection Using Graph Neural Networks.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    270 cites at Semantic Scholar
    1007% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, and Rahul Sharma:
    Jigsaw: Large Language Models Meet Program Synthesis.
    International Conference on Software Engineering (ICSE), 2022
    262 cites at Semantic Scholar
    975% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, and Gabriele Bavota:
    Using Pre-Trained Models to Boost Code Review Automation.
    International Conference on Software Engineering (ICSE), 2022
    245 cites at Semantic Scholar
    905% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    He Ye, Matias Martinez, and Martin Monperrus:
    Neural Program Repair with Execution-Based Backpropagation.
    International Conference on Software Engineering (ICSE), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, and Chao Zhang:
    jTrans: Jump-Aware Transformer for Binary Code Similarity Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Zhou Yang, Jieke Shi, Junda He, and David Lo:
    Natural Attack for Pre-Trained Models of Code.
    International Conference on Software Engineering (ICSE), 2022
    235 cites at Semantic Scholar
    864% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, and Dongmei Zhang:
    DeepTraLog: Trace-Log Combined Microservice Anomaly Detection Through Graph-Based Deep Learning.
    International Conference on Software Engineering (ICSE), 2022
    223 cites at Semantic Scholar
    815% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, and Hai Jin:
    VulCNN: An Image-Inspired Scalable Vulnerability Detection System.
    International Conference on Software Engineering (ICSE), 2022
    214 cites at Semantic Scholar
    778% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Saki Imai:
    Is GitHub Copilot a Substitute for Human Pair-Programming? An Empirical Study.
    International Conference on Software Engineering (ICSE): Companion, 2022
    213 cites at Semantic Scholar
    774% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, and Dinh Phung:
    ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.
    International Conference on Software Engineering (ICSE): Companion, 2022
    210 cites at Semantic Scholar
    761% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, and Michael R. Lyu:
    No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    201 cites at Semantic Scholar
    724% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, and Shuvendu K. Lahiri:
    TOGA: A Neural Method for Test Oracle Generation.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    196 cites at Semantic Scholar
    704% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Nadia Nahar, Shurui Zhou, Grace A. Lewis, and Christian Kästner:
    Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    192 cites at Semantic Scholar
    687% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Van-Hoang Le and Hongyu Zhang:
    Log-Based Anomaly Detection with Deep Learning: How Far Are We?
    International Conference on Software Engineering (ICSE), 2022
    296 cites at Semantic Scholar
    1114% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, and Rahul Sharma:
    Jigsaw: Large Language Models Meet Program Synthesis.
    International Conference on Software Engineering (ICSE), 2022
    262 cites at Semantic Scholar
    975% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, and Gabriele Bavota:
    Using Pre-Trained Models to Boost Code Review Automation.
    International Conference on Software Engineering (ICSE), 2022
    245 cites at Semantic Scholar
    905% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    He Ye, Matias Martinez, and Martin Monperrus:
    Neural Program Repair with Execution-Based Backpropagation.
    International Conference on Software Engineering (ICSE), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhou Yang, Jieke Shi, Junda He, and David Lo:
    Natural Attack for Pre-Trained Models of Code.
    International Conference on Software Engineering (ICSE), 2022
    235 cites at Semantic Scholar
    864% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, and Dongmei Zhang:
    DeepTraLog: Trace-Log Combined Microservice Anomaly Detection Through Graph-Based Deep Learning.
    International Conference on Software Engineering (ICSE), 2022
    223 cites at Semantic Scholar
    815% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, and Hai Jin:
    VulCNN: An Image-Inspired Scalable Vulnerability Detection System.
    International Conference on Software Engineering (ICSE), 2022
    214 cites at Semantic Scholar
    778% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Saki Imai:
    Is GitHub Copilot a Substitute for Human Pair-Programming? An Empirical Study.
    International Conference on Software Engineering (ICSE): Companion, 2022
    213 cites at Semantic Scholar
    774% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, and Dinh Phung:
    ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.
    International Conference on Software Engineering (ICSE): Companion, 2022
    210 cites at Semantic Scholar
    761% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, and Shuvendu K. Lahiri:
    TOGA: A Neural Method for Test Oracle Generation.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    196 cites at Semantic Scholar
    704% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Nadia Nahar, Shurui Zhou, Grace A. Lewis, and Christian Kästner:
    Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    192 cites at Semantic Scholar
    687% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Stephan Lukasczyk and Gordon Fraser:
    Pynguin: Automated Unit Test Generation for Python.
    International Conference on Software Engineering (ICSE): Companion, 2022
    181 cites at Semantic Scholar
    642% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Anjiang Wei, Yinlin Deng, Chenyuan Yang, and Lingming Zhang:
    Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source.
    International Conference on Software Engineering (ICSE), 2022
    160 cites at Semantic Scholar
    556% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, and Bin Luo:
    SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations.
    International Conference on Software Engineering (ICSE), 2022
    154 cites at Semantic Scholar
    532% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, and Chuanqi Tao:
    MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks.
    International Conference on Software Engineering (ICSE), 2022
    150 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, and Hai Jin:
    What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
    International Conference on Software Engineering (ICSE), 2022
    139 cites at Semantic Scholar
    470% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, and Xin Peng:
    Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem.
    International Conference on Software Engineering (ICSE), 2022
    138 cites at Semantic Scholar
    466% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Marcel Böhme, László Szekeres, and Jonathan Metzman:
    On the Reliability of Coverage-Based Fuzzer Benchmarking.
    International Conference on Software Engineering (ICSE), 2022
    136 cites at Semantic Scholar
    458% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, and Hongbin Sun:
    On the Evaluation of Neural Code Summarization.
    International Conference on Software Engineering (ICSE), 2022
    134 cites at Semantic Scholar
    450% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Maliheh Izadi, Roberta Gismondi, and Georgios Gousios:
    CodeFill: Multi-Token Code Completion by Jointly Learning from Structure and Naming Sequences.
    International Conference on Software Engineering (ICSE), 2022
    132 cites at Semantic Scholar
    441% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Van-Hoang Le and Hongyu Zhang:
    Log-Based Anomaly Detection with Deep Learning: How Far Are We?
    International Conference on Software Engineering (ICSE), 2022
    296 cites at Semantic Scholar
    1114% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, and Rahul Sharma:
    Jigsaw: Large Language Models Meet Program Synthesis.
    International Conference on Software Engineering (ICSE), 2022
    262 cites at Semantic Scholar
    975% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, and Gabriele Bavota:
    Using Pre-Trained Models to Boost Code Review Automation.
    International Conference on Software Engineering (ICSE), 2022
    245 cites at Semantic Scholar
    905% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    He Ye, Matias Martinez, and Martin Monperrus:
    Neural Program Repair with Execution-Based Backpropagation.
    International Conference on Software Engineering (ICSE), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhou Yang, Jieke Shi, Junda He, and David Lo:
    Natural Attack for Pre-Trained Models of Code.
    International Conference on Software Engineering (ICSE), 2022
    235 cites at Semantic Scholar
    864% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, and Dongmei Zhang:
    DeepTraLog: Trace-Log Combined Microservice Anomaly Detection Through Graph-Based Deep Learning.
    International Conference on Software Engineering (ICSE), 2022
    223 cites at Semantic Scholar
    815% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, and Hai Jin:
    VulCNN: An Image-Inspired Scalable Vulnerability Detection System.
    International Conference on Software Engineering (ICSE), 2022
    214 cites at Semantic Scholar
    778% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, and Shuvendu K. Lahiri:
    TOGA: A Neural Method for Test Oracle Generation.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    196 cites at Semantic Scholar
    704% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Nadia Nahar, Shurui Zhou, Grace A. Lewis, and Christian Kästner:
    Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process.
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    192 cites at Semantic Scholar
    687% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Anjiang Wei, Yinlin Deng, Chenyuan Yang, and Lingming Zhang:
    Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source.
    International Conference on Software Engineering (ICSE), 2022
    160 cites at Semantic Scholar
    556% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, and Bin Luo:
    SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations.
    International Conference on Software Engineering (ICSE), 2022
    154 cites at Semantic Scholar
    532% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, and Chuanqi Tao:
    MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks.
    International Conference on Software Engineering (ICSE), 2022
    150 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, and Hai Jin:
    What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
    International Conference on Software Engineering (ICSE), 2022
    139 cites at Semantic Scholar
    470% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, and Xin Peng:
    Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem.
    International Conference on Software Engineering (ICSE), 2022
    138 cites at Semantic Scholar
    466% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Marcel Böhme, László Szekeres, and Jonathan Metzman:
    On the Reliability of Coverage-Based Fuzzer Benchmarking.
    International Conference on Software Engineering (ICSE), 2022
    136 cites at Semantic Scholar
    458% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, and Hongbin Sun:
    On the Evaluation of Neural Code Summarization.
    International Conference on Software Engineering (ICSE), 2022
    134 cites at Semantic Scholar
    450% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Maliheh Izadi, Roberta Gismondi, and Georgios Gousios:
    CodeFill: Multi-Token Code Completion by Jointly Learning from Structure and Naming Sequences.
    International Conference on Software Engineering (ICSE), 2022
    132 cites at Semantic Scholar
    441% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    DEAR: A Novel Deep Learning-Based Approach for Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2022
    127 cites at Semantic Scholar
    421% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yingchen Tian, Yuxia Zhang, Klaas-Jan Stol, Lin Jiang, and Hui Liu:
    What Makes a Good Commit Message?
    International Conference on Software Engineering (ICSE), 2022
    🏆 Distinguished Paper
    126 cites at Semantic Scholar
    417% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, and Ying Zou:
    Green AI: Do Deep Learning Frameworks Have Different Costs?
    International Conference on Software Engineering (ICSE), 2022
    124 cites at Semantic Scholar
    409% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Saki Imai:
    Is GitHub Copilot a Substitute for Human Pair-Programming? An Empirical Study.
    International Conference on Software Engineering (ICSE): Companion, 2022
    213 cites at Semantic Scholar
    774% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, and Dinh Phung:
    ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.
    International Conference on Software Engineering (ICSE): Companion, 2022
    210 cites at Semantic Scholar
    761% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Stephan Lukasczyk and Gordon Fraser:
    Pynguin: Automated Unit Test Generation for Python.
    International Conference on Software Engineering (ICSE): Companion, 2022
    181 cites at Semantic Scholar
    642% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Zac Hatfield-Dodds and Dmitry Dygalo:
    Deriving Semantics-Aware Fuzzers from Web API Schemas.
    International Conference on Software Engineering (ICSE): Companion, 2022
    74 cites at Semantic Scholar
    204% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Michael Ling, Yijun Yu, Haitao Wu, Yuan Wang, James R. Cordy, and Ahmed E. Hassan:
    In Rust We Trust - A Transpiler from Unsafe C to Safer Rust.
    International Conference on Software Engineering (ICSE): Companion, 2022
    64 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xinyi Wang, Paolo Arcaini, Tao Yue, and Shaukat Ali:
    QuSBT: Search-Based Testing of Quantum Programs.
    International Conference on Software Engineering (ICSE): Companion, 2022
    51 cites at Semantic Scholar
    109% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Daniel Fortunato, José Campos, and Rui Abreu:
    Mutation Testing of Quantum Programs Written in QISKit.
    International Conference on Software Engineering (ICSE): Companion, 2022
    37 cites at Semantic Scholar
    52% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ruixin Wang, Yang Chen, and Wing Lam:
    iPFlakies: A Framework for Detecting and Fixing Python Order-Dependent Flaky Tests.
    International Conference on Software Engineering (ICSE): Companion, 2022
    37 cites at Semantic Scholar
    52% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mitchell Olsthoorn, Dimitri Michel Stallenberg, Arie van Deursen, and Annibale Panichella:
    SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts.
    International Conference on Software Engineering (ICSE): Companion, 2022
    35 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Brittany Johnson and Yuriy Brun:
    Fairkit-Learn: A Fairness Evaluation and Comparison Toolkit.
    International Conference on Software Engineering (ICSE): Companion, 2022
    32 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xiaoyin Wang:
    VRTest: An Extensible Framework for Automatic Testing of Virtual Reality Scenes.
    International Conference on Software Engineering (ICSE): Companion, 2022
    31 cites at Semantic Scholar
    27% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Aryaz Eghbali and Michael Pradel:
    CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code.
    International Conference on Software Engineering (ICSE): Companion, 2022
    28 cites at OpenAlex
    15% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jiwei Yan, Shixin Zhang, Yepang Liu, Jun Yan, and Jian Zhang:
    ICCBot: Fragment-Aware and Context-Sensitive ICC Resolution for Android Applications.
    International Conference on Software Engineering (ICSE): Companion, 2022
    20 cites at OpenAlex
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Tianshu Bao, Jing Yang, Yilong Yang, and Yongfeng Yin:
    RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models.
    International Conference on Software Engineering (ICSE): Companion, 2022
    19 cites at Semantic Scholar
    -22% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, and Philip S. Yu:
    NaturalCC: An Open-Source Toolkit for Code Intelligence.
    International Conference on Software Engineering (ICSE): Companion, 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Sidong Feng and Chunyang Chen:
    GIFdroid: An Automated Light-Weight Tool for Replaying Visual Bug Reports.
    International Conference on Software Engineering (ICSE): Companion, 2022
    16 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Kunjian Song, Nedas Matulevicius, Eddie B. de Lima Filho, and Lucas C. Cordeiro:
    ESBMC-Solidity: An SMT-Based Model Checker for Solidity Smart Contracts.
    International Conference on Software Engineering (ICSE): Companion, 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Weixiang Yan and Yuanchun Li:
    WhyGen: Explaining ML-Powered Code Generation by Referring to Training Examples.
    International Conference on Software Engineering (ICSE): Companion, 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Sidong Feng, Chunyang Chen, and Zhenchang Xing:
    Gallery D.C.: Auto-Created GUI Component Gallery for Design Search and Knowledge Discovery.
    International Conference on Software Engineering (ICSE): Companion, 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ho Young Jhoo, Sehoon Kim, Woosung Song, Kyuyeon Park, DongKwon Lee, and Kwangkeun Yi:
    A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code.
    International Conference on Software Engineering (ICSE): Companion, 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Abdul Ali Bangash, Karim Ali, and Abram Hindle:
    Black Box Technique to Reduce Energy Consumption of Android Apps.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Philipp Haindl, Georg Buchgeher, Maqbool Khan, and Bernhard Moser:
    Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Carlos Gavidia-Calderon, Amel Bennaceur, Anastasia Kordoni, Mark Levine, and Bashar Nuseibeh:
    What Do You Want From Me? Adapting Systems to the Uncertainty of Human Preferences.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Jenny T. Liang, Thomas Zimmermann, and Denae Ford:
    Towards Mining OSS Skills from GitHub Activity.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Lina Ochoa, Thomas Degueule, and Jean-Rémy Falleri:
    BreakBot: Analyzing the Impact of Breaking Changes to Assist Library Evolution.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Dipanwita Guhathakurta, Pooja Aggarwal, Seema Nagar, Rohan R. Arora, and Bing Zhou:
    Utilizing Persistence for Post Facto Suppression of Invalid Anomalies Using System Logs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Georges Aaron Randrianaina, Djamel Eddine Khelladi, Olivier Zendra, and Mathieu Acher:
    Towards Incremental Build of Software Configurations.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Martin Weyssow, Houari A. Sahraoui, and Bang Liu:
    Better Modeling the Programming World with Code Concept Graphs-Augmented Multi-Modal Learning.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Marcel Böhme:
    Statistical Reasoning About Programs.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Samanta Dey, Venkatesh Vinayakarao, Monika Gupta, and Sampath Dechu:
    Evaluating Commit Message Generation: To BLEU Or Not To BLEU?
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Matthew Frazier, Shaayal Kumar, Kostadin Damevski, and Lori L. Pollock:
    Investigating User Perceptions of Conversational Agents for Software-Related ExploratoryWeb Search.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    François Gauthier and Sora Bae:
    Runtime Prevention of Deserialization Attacks.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Anas Nadeem and Muhammad Zubair Malik:
    Case for Microservices Orchestration Using Workflow Engines.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach Dinh Le, and Quyet-Thang Huynh:
    Toward the Analysis of Graph Neural Networks.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Faeq Alrimawi and Bashar Nuseibeh:
    Kind Computing.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Avijit Bhattacharjee, Banani Roy, and Kevin A. Schneider:
    Supporting Program Comprehension by Generating Abstract Code Summary Tree.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Sangeeta Dey and Seok-Won Lee:
    Are We Training with The Right Data? Evaluating Collective Confidence in Training Data Using Dempster Shafer Theory.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ilias Gerostathopoulos, Claudia Raibulet, and Patricia Lago:
    Expressing the Adaptation Intent as a Sustainability Goal.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Colin S. Gordon:
    Towards Property-Based Tests in Natural Language.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, and Akash Agarwal:
    MLSmellHound: A Context-Aware Code Analysis Tool.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Annie Li, Madeline Endres, and Westley Weimer:
    Debugging with Stack Overflow: Web Search Behavior in Novice and Expert Programmers.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    12 cites at OpenAlex
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Abasi-Amefon Obot Affia, Alexander Nolte, and Raimundas Matulevicius:
    Integrating Hackathons into an Online Cybersecurity Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    10 cites at OpenAlex
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Marcelo Fernandes, Samuel Ferino, Anny Fernandes, Uirá Kulesza, Eduardo Aranha, and Christoph Treude:
    DevOps Education: An Interview Study of Challenges and Recommendations.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    9 cites at OpenAlex
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ilenia Fronza, Luis Corral, Xiaofeng Wang, and Claus Pahl:
    Keeping Fun Alive: An Experience Report on Running Online Coding Camps.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    8 cites at OpenAlex
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Makayla Moster, Ella Kokinda, Matthew Re, James Dominic, Jason Lehmann, Andrew Begel, and Paige Rodeghero:
    "Can You Help Me?" An Experience Report of Teamwork in a Game Coding Camp for Autistic High School Students.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    7 cites at OpenAlex
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Manal M. Alhammad and Ana María Moreno:
    Integrating User Experience into Agile : An Experience Report on Lean UX and Scrum.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Iris Groher, Michael Vierhauser, Barbara Sabitzer, Lisa Kuka, Alexander Hofer, and David Muster:
    Exploring Diversity in Introductory Programming Classes: An Experience Report.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ethan Bütt, Suzette Person, and Christopher Bohn:
    Student-Sponsored Projects in a Capstone Course : Reflections and Lessons Learned.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Sarah Monisha Pulimood, Margaret E. Leigey, Diane C. Bates, Kim Pearson, and Supriya Mishra:
    A Project-Based Collaboration Between Software Engineering and Criminology Students : Building Applications to Understand Racial Injustice in the Criminal Justice System.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    3 cites at Semantic Scholar
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Raj Shrestha, Juho Leinonen, Albina Zavgorodniaia, Arto Hellas, and John Edwards:
    Pausing While Programming: Insights From Keystroke Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Nhi N. Y. Vo, Nam H. Vu, Tu A. Vu, Quang T. Vu, and Bang D. Mach:
    CRS - A Hybrid Course Recommendation System for Software Engineering Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Bhuvaneswari Gopal and Stephen Cooper:
    Peer Instruction in Online Software Testing and Continuous Integration - A Replication Study.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Satrio Adi Rukmono and Michel R. V. Chaudron:
    Guiding Peer-Feedback in Learning Software Design Using UML.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Paul Schmiedmayer, Robert Chatley, Jan Philip Bernius, Stephan Krusche, Konstantin Chaika, Kirill Krinkin, and Bernd Bruegge:
    Global Software Engineering in a Global Classroom.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jan-Philipp Steghöfer and Håkan Burden:
    One Block on Top of the Other: Using Minetest to Teach Scrum.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Oleg Sychev:
    Write a Line: Tests with Answer Templates and String Completion Hints for Self-Learning in a CS1 Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Roope Luukkainen, Jussi Kasurinen, Uolevi Nikula, and Valentina Lenarduzzi:
    ASPA: A Static Analyser to Support Learning and Continuous Feedback on Programming Courses. An Empirical Validation.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jeff Offutt and Kesina Baral:
    Designing Divergent Thinking, Creative Problem Solving Exams.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Eng Lieh Ouh, Benjamin Kok Siew Gan, and David Lo:
    ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Sebastián Pizard, Diego Vallespir, and Barbara A. Kitchenham:
    A Longitudinal Case Study on the Effects of an Evidence-Based Software Engineering Training.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, and Conrad Sanderson:
    Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila, and Laurie A. Williams:
    What Are Weak Links in the Npm Supply Chain?
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    17 cites at OpenAlex
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Dezhi Ran, Zongyang Li, Chenxu Liu, Wenyu Wang, Weizhi Meng, Xionglin Wu, Hui Jin, Jing Cui, Xing Tang, and Tao Xie:
    Automated Visual Testing for Mobile Apps in an Industrial Setting.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    10 cites at OpenAlex
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Paolo Ciancarini, Artem V. Kruglov, Witold Pedrycz, Dilshat Salikhov, and Giancarlo Succi:
    Issues in the Adoption of the Scaled Agile Framework.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    9 cites at OpenAlex
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Amrita Saha and Steven C. H. Hoi:
    Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    8 cites at OpenAlex
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Pavle Subotic, Lazar Milikic, and Milan Stojic:
    A Static Analysis Framework for Data Science Notebooks.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    8 cites at OpenAlex
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Will Epperson, April Yi Wang, Robert DeLine, and Steven Mark Drucker:
    Strategies for Reuse and Sharing Among Data Scientists in Software Teams.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    7 cites at OpenAlex
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, and Satish Chandra:
    Counterfactual Explanations for Models of Code.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Tim Hübener, Michel R. V. Chaudron, Yaping Luo, Pieter Vallen, Jonck van der Kogel, and Tom Liefheid:
    Automatic Anti-Pattern Detection in Microservice Architectures Based on Distributed Tracing.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, and Adam P. Burden:
    Towards a Green Quotient for Software Projects.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn:
    Surveying the Developer Experience of Flaky Tests.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Jiayang Song, Deyun Lyu, Zhenya Zhang, Zhijie Wang, Tianyi Zhang, and Lei Ma:
    When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Alexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, and Adrian Sampson:
    Verifying Dynamic Trait Objects in Rust.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Muhammad Waseem, Peng Liang, Aakash Ahmad, Mojtaba Shahin, Arif Ali Khan, and Gastón Márquez:
    Decision Models for Selecting Patterns and Strategies in Microservices Systems and Their Evaluation by Practitioners.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zexin Zhong, Jiangchao Liu, Diyu Wu, Peng Di, Yulei Sui, and Alex X. Liu:
    Field-Based Static Taint Analysis for Industrial Microservices.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alex Groce, Kush Jain, Rijnard van Tonder, Goutamkumar Tulajappa Kalburgi, and Claire Le Goues:
    Looking for Lacunae in Bitcoin Core's Fuzzing Efforts.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, and Dongmei Zhang:
    Testing Machine Learning Systems in Industry: An Empirical Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xin Zhou, Huang Huang, He Zhang, Xin Huang, Dong Shao, and Chenxing Zhong:
    A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Anastasiia Birillo, Elena Lyulina, Maria Malysheva, Vladislav Tankov, and Timofey Bryksin:
    Reflekt: A Library for Compile-Time Reflection in Kotlin.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, and Shanping Li:
    Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Bianca Trinkenreich, Ricardo Britto, Marco Aurélio Gerosa, and Igor Steinmacher:
    An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    33 cites at OpenAlex
    35% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Stefano Lambiase, Gemma Catolino, Damian A. Tamburri, Alexander Serebrenik, Fabio Palomba, and Filomena Ferrucci:
    Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    16 cites at OpenAlex
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Mariam Guizani, Igor Steinmacher, Jillian Emard, Abrar Fallatah, Margaret Burnett, and Anita Sarma:
    How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    11 cites at OpenAlex
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Davide Rossi and Stefano Zacchiroli:
    Worldwide Gender Differences in Public Code Contributions and How They Have Been Affected by the COVID-19 Pandemic.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    11 cites at OpenAlex
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Hourieh Khalajzadeh, Mojtaba Shahin, Humphrey O. Obie, and John Grundy:
    How Are Diverse End-User Human-Centric Issues Discussed on GitHub?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    9 cites at OpenAlex
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Huilian Sophie Qiu, Bogdan Vasilescu, Christian Kästner, Carolyn D. Egelman, Ciera Jaspan, and Emerson R. Murphy-Hill:
    Detecting Interpersonal Conflict in Issues and Code Review: Cross Pollinating Open- and Closed-Source Approaches.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    9 cites at OpenAlex
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Mona Alzahrani, Alexandra L. Uitdenbogerd, and Maria Spichkova:
    Impact of Animated Objects on Autistic and Non-Autistic Users.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    7 cites at OpenAlex
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Nan Yang, Isabella Ferreira, Alexander Serebrenik, and Bram Adams:
    Why Do Projects Join the Apache Software Foundation?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    6 cites at OpenAlex
    -75% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Tanjila Kanij, John C. Grundy, Jennifer McIntosh, Anita Sarma, and Gayatri Aniruddha:
    A New Approach Towards Ensuring Gender Inclusive SE Job Advertisements.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    5 cites at OpenAlex
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lucas Vieira Alves, José Davi Pereira, Natália Aragão, Matheus Lima Chagas, and Paulo Henrique M. Maia:
    DRESS-ML: A Domain-Specific Language for Modelling Exceptional Scenarios and Self-Adaptive Behaviours for Drone-Based Applications.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mariam Guizani, Bianca Trinkenreich, Aileen Abril Castro-Guzman, Igor Steinmacher, Marco Aurélio Gerosa, and Anita Sarma:
    Perceptions of the State of D&I and D&I Initiative in the ASF.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mariam Guizani, Thomas Zimmermann, Anita Sarma, and Denae Ford:
    Attracting and Retaining OSS Contributors with a Maintainer Dashboard.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lucy Hunt and Maria Angela Ferrario:
    A Review of How Whistleblowing Is Studied in Software Engineering, and the Implications for Research and Practice.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    4 cites at OpenAlex
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Isabella Graßl and Gordon Fraser:
    SCRATCH as Social Network: Topic Modeling and Sentiment Analysis in SCRATCH Projects.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    3 cites at OpenAlex
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Annika Wolff, Natasha Tylosky, and Md. Tanvir Hasan:
    Open Data Inclusion Through Narrative Approaches.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    2 cites at OpenAlex
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Han Wang, Chao Wu, Chunyang Chen, Burak Turhan, Shiping Chen, and Jon Whittle:
    Software Engineers' Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    1 cites at OpenAlex
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Matthew B. Dwyer:
    Message from the ICSE 2022 General Chair.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    José Miguel Pérez-Álvarez, Adrian Mos, Benjamin V. Hanrahan, and Iyadunni J. Adenuga:
    Lowering Barriers to Application Development With Cloud-Native Domain-Specific Functions.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2022
    0 cites at OpenAlex
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Chunqiu Steven Xia and Lingming Zhang:
    Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-Shot Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    310 cites at Semantic Scholar
    1171% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Van Nguyen, and Dinh Q. Phung:
    VulRepair: A T5-Based Automated Software Vulnerability Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    303 cites at Semantic Scholar
    1143% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, and Neel Sundaresan:
    Automating Code Review Activities by Large-Scale Pre-Training.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    293 cites at Semantic Scholar
    1102% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, and Michael R. Lyu:
    No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    201 cites at Semantic Scholar
    724% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, and Baishakhi Ray:
    NatGen: Generative Pre-Training by "Naturalizing" Source Code.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    158 cites at Semantic Scholar
    548% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yinlin Deng, Chenyuan Yang, Anjiang Wei, and Lingming Zhang:
    Fuzzing Deep-Learning Libraries via Automated Relational API Inference.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    114 cites at Semantic Scholar
    368% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Xiaohui Nie, Li Cao, Wenchi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqiang Duan, and Dan Pei:
    Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    96 cites at Semantic Scholar
    294% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Guannan Lou, Yao Deng, Xi Zheng, Mengshi Zhang, and Tianyi Zhang:
    Testing of Autonomous Driving Systems: Where Are We and Where Should We Go?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    96 cites at Semantic Scholar
    294% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, and Mark Harman:
    MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    95 cites at Semantic Scholar
    290% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, and Lichao Sun:
    You See What I Want You to See: Poisoning Vulnerabilities in Neural Code Search.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    91 cites at Semantic Scholar
    273% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Lingwei Li, Li Yang, Huaxi Jiang, Jun Yan, Tiejian Luo, Zihan Hua, Geng Liang, and Chun Zuo:
    AUGER: Automatically Generating Review Comments with Pre-Training Models.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    87 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, and David Lo:
    The Best of Both Worlds: Integrating Semantic Features with Expert Features for Defect Prediction and Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    84 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, and Qing Wang:
    Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    82 cites at Semantic Scholar
    236% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, and Aldeida Aleti:
    CommentFinder: A Simpler, Faster, More Accurate Code Review Comments Recommendation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    79 cites at Semantic Scholar
    224% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhaowei Zhang, Hongyu Zhang, Beijun Shen, and Xiaodong Gu:
    Diet Code Is Healthy: Simplifying Programs for Pre-Trained Models of Code.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    79 cites at Semantic Scholar
    224% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Haoxiang Tian, Yan Jiang, Guoquan Wu, Jiren Yan, Jun Wei, Wei Chen, Shuo Li, and Dan Ye:
    MOSAT: Finding Safety Violations of Autonomous Driving Systems Using Multi-Objective Genetic Algorithm.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    78 cites at Semantic Scholar
    220% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, and Qingwei Lin:
    An Empirical Study of Log Analysis at Microsoft.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    70 cites at Semantic Scholar
    187% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, and Dongmei Zhang:
    SPINE: A Scalable Log Parser with Feedback Guidance.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    🏆 Distinguished Paper
    67 cites at Semantic Scholar
    175% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Dominic Steinhöfel and Andreas Zeller:
    Input Invariants.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    60 cites at Semantic Scholar
    146% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Paul Ralph and Sebastian Baltes:
    Paving the Way for Mature Secondary Research: The Seven Types of Literature Review.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Toufique Ahmed and Premkumar T. Devanbu:
    Few-Shot Training LLMs for Project-Specific Code-Summarization.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    368 cites at Semantic Scholar
    1409% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, and Martin Monperrus:
    SelfAPR: Self-Supervised Program Repair with Test Execution Diagnostics.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    130 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, and Milos Gligoric:
    CoditT5: Pretraining for Source Code and Natural Language Editing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    130 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Aryaz Eghbali and Michael Pradel:
    CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    129 cites at Semantic Scholar
    429% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Junaed Younus Khan and Gias Uddin:
    Automatic Code Documentation Generation Using GPT-3.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    128 cites at Semantic Scholar
    425% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xianchang Luo, Yinxing Xue, Zhenchang Xing, and Jiamou Sun:
    PRCBERT: Prompt Learning for Requirement Classification Using BERT-Based Pretrained Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    89 cites at Semantic Scholar
    265% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, and Zijiang Yang:
    LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    84 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jianzhong Su, Hong-Ning Dai, Lingjun Zhao, Zibin Zheng, and Xiapu Luo:
    Effectively Generating Vulnerable Transaction Sequences in Smart Contracts with Reinforcement Learning-Guided Fuzzing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    80 cites at Semantic Scholar
    228% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, and Xiaoguang Mao:
    Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-Phase Approach.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    79 cites at Semantic Scholar
    224% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhengwei Lv, Chao Peng, Zhao Zhang, Ting Su, Kai Liu, and Ping Yang:
    Fastbot2: Reusable Automated Model-Based GUI Testing for Android Enhanced by Reinforcement Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    76 cites at Semantic Scholar
    212% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, and David Lo:
    Compressing Pre-Trained Models of Code into 3 MB.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    60 cites at Semantic Scholar
    146% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, and Qinghua Lu:
    Prompt-Tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    59 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jingzhou Fu, Jie Liang, Zhiyong Wu, Mingzhe Wang, and Yu Jiang:
    Griffin : Grammar-Free DBMS Fuzzing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    56 cites at Semantic Scholar
    130% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jiashuo Zhang, Jianbo Gao, Yue Li, Ziming Chen, Zhi Guan, and Zhong Chen:
    Xscope: Hunting for Cross-Chain Bridge Attacks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Vikram Nitin, Shubhi Asthana, Baishakhi Ray, and Rahul Krishna:
    CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Qingchao Shen, Junjie Chen, Jie M. Zhang, Haoyu Wang, Shuang Liu, and Menghan Tian:
    Natural Test Generation for Precise Testing of Question Answering Software.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Wei Tang, Zhengzi Xu, Chengwei Liu, Jiahui Wu, Shouguo Yang, Yi Li, Ping Luo, and Yang Liu:
    Towards Understanding Third-Party Library Dependency in C/C++ Ecosystem.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    51 cites at Semantic Scholar
    109% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, and Lingming Zhang:
    Learning to Construct Better Mutation Faults.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    50 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Andrea Stocco, Paulo J. Nunes, Marcelo d'Amorim, and Paolo Tonella:
    ThirdEye: Attention Maps for Safe Autonomous Driving Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Haoxiang Tian, Guoquan Wu, Jiren Yan, Yan Jiang, Jun Wei, Wei Chen, Shuo Li, and Dan Ye:
    Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior Patterns.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, and Martin Monperrus:
    SelfAPR: Self-Supervised Program Repair with Test Execution Diagnostics.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    130 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, and Milos Gligoric:
    CoditT5: Pretraining for Source Code and Natural Language Editing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    130 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Aryaz Eghbali and Michael Pradel:
    CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    129 cites at Semantic Scholar
    429% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xianchang Luo, Yinxing Xue, Zhenchang Xing, and Jiamou Sun:
    PRCBERT: Prompt Learning for Requirement Classification Using BERT-Based Pretrained Language Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    89 cites at Semantic Scholar
    265% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, and Zijiang Yang:
    LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    84 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jianzhong Su, Hong-Ning Dai, Lingjun Zhao, Zibin Zheng, and Xiapu Luo:
    Effectively Generating Vulnerable Transaction Sequences in Smart Contracts with Reinforcement Learning-Guided Fuzzing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    80 cites at Semantic Scholar
    228% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, and Xiaoguang Mao:
    Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-Phase Approach.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    79 cites at Semantic Scholar
    224% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, and David Lo:
    Compressing Pre-Trained Models of Code into 3 MB.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    60 cites at Semantic Scholar
    146% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, and Qinghua Lu:
    Prompt-Tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    59 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jingzhou Fu, Jie Liang, Zhiyong Wu, Mingzhe Wang, and Yu Jiang:
    Griffin : Grammar-Free DBMS Fuzzing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    56 cites at Semantic Scholar
    130% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Vikram Nitin, Shubhi Asthana, Baishakhi Ray, and Rahul Krishna:
    CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Qingchao Shen, Junjie Chen, Jie M. Zhang, Haoyu Wang, Shuang Liu, and Menghan Tian:
    Natural Test Generation for Precise Testing of Question Answering Software.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Wei Tang, Zhengzi Xu, Chengwei Liu, Jiahui Wu, Shouguo Yang, Yi Li, Ping Luo, and Yang Liu:
    Towards Understanding Third-Party Library Dependency in C/C++ Ecosystem.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    51 cites at Semantic Scholar
    109% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, and Lingming Zhang:
    Learning to Construct Better Mutation Faults.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    50 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Andrea Stocco, Paulo J. Nunes, Marcelo d'Amorim, and Paolo Tonella:
    ThirdEye: Attention Maps for Safe Autonomous Driving Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Haoxiang Tian, Guoquan Wu, Jiren Yan, Yan Jiang, Jun Wei, Wei Chen, Shuo Li, and Dan Ye:
    Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior Patterns.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yutao Hu, Deqing Zou, Junru Peng, Yueming Wu, Junjie Shan, and Hai Jin:
    TreeCen: Building Tree Graph for Scalable Semantic Code Clone Detection.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    47 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Fuman Xie, Yanjun Zhang, Chuan Yan, Suwan Li, Lei Bu, Kai Chen, Zi Huang, and Guangdong Bai:
    Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    47 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Elias Kuiter, Sebastian Krieter, Chico Sundermann, Thomas Thüm, and Gunter Saake:
    Tseitin or Not Tseitin? The Impact of CNF Transformations on Feature-Model Analyses.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    46 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Bihuan Chen, and Yang Liu:
    Has My Release Disobeyed Semantic Versioning? Static Detection Based on Semantic Differencing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
    44 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Jiashuo Zhang, Jianbo Gao, Yue Li, Ziming Chen, Zhi Guan, and Zhong Chen:
    Xscope: Hunting for Cross-Chain Bridge Attacks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ye Liu and Yi Li:
    InvCon: A Dynamic Invariant Detector for Ethereum Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    26 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Cláudia Mamede, Eduard Pinconschi, and Rui Abreu:
    A Transformer-Based IDE Plugin for Vulnerability Detection.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    26 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Sen Chen, Yuxin Zhang, Lingling Fan, Jiaming Li, and Yang Liu:
    AUSERA: Automated Security Vulnerability Detection for Android Apps.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    20 cites at Semantic Scholar
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Olivier Le Goaër and Julien Hertout:
    ecoCode: A SonarQube Plugin to Remove Energy Smells from Android Projects.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    19 cites at Semantic Scholar
    -22% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Sen Wang, Zhuheng Sheng, Jingwei Xu, Taolue Chen, Junjun Zhu, Shuhui Zhang, Yuan Yao, and Xiaoxing Ma:
    ADEPT: A Testing Platform for Simulated Autonomous Driving.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Mark W. Aldrich, Alexi Turcotte, Matthew Blanco, and Frank Tip:
    Augur: Dynamic Taint Analysis for Asynchronous JavaScript.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Sara Fernandes, Ademar Aguiar, and André Restivo:
    LiveRef: A Tool for Live Refactoring Java Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Dilip Kini, and Aditya Thakur:
    AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    11 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lissette Almonte, Esther Guerra, Iván Cantador, and Juan de Lara:
    Building Recommenders for Modelling Languages with Droid.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    10 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    William Eiers, Ganesh Sankaran, Albert Li, Emily O'Mahony, Benjamin Prince, and Tevfik Bultan:
    Quacky: Quantitative Access Control Permissiveness Analyzer✱.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, and George K. Thiruvathukal:
    Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    8 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Raula Gaikovina Kula, Bodin Chinthanet, Takashi Ishio, and Kenichi Matsumoto:
    V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    6 cites at Semantic Scholar
    -75% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Alberto D. Rodriguez, Timothy Newman, Katherine R. Dearstyne, and Jane Cleland-Huang:
    SAFA: A Tool for Supporting Safety Analysis in Evolving Software Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    6 cites at Semantic Scholar
    -75% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Aatira Anum Ahmad, Mubashir Anwar, Hashim Sharif, Ashish Gehani, and Fareed Zaffar:
    Trimmer: Context-Specific Code Reduction.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    3 cites at Semantic Scholar
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Bernd Fischer, Salvatore La Torre, Gennaro Parlato, and Peter Schrammel:
    CBMC-SSM: Bounded Model Checking of C Programs with Symbolic Shadow Memory.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    2 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ennio Visconti, Christos Tsigkanos, and Laura Nenzi:
    WebMonitor: Verification of Web User Interfaces.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    2 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ali Ghanbari and Andrian Marcus:
    Shibboleth: Hybrid Patch Correctness Assessment in Automated Program Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiawei He, Zhida Bao, Quanjun Zhang, Weisong Sun, Jiawei Liu, Chunrong Fang, and Yun Lin:
    ElecDaug: Electromagnetic Data Augmentation for Model Repair Based on Metamorphic Relation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, and Beijun Shen:
    Answering Software Deployment Questions via Neural Machine Reading at Scale.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Tool Demonstrations, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Zhengwei Lv, Chao Peng, Zhao Zhang, Ting Su, Kai Liu, and Ping Yang:
    Fastbot2: Reusable Automated Model-Based GUI Testing for Android Enhanced by Reinforcement Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    76 cites at Semantic Scholar
    212% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuchen Zhang, Yunhang Zhang, Georgios Portokalidis, and Jun Xu:
    Towards Understanding the Runtime Performance of Rust.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    31 cites at Semantic Scholar
    27% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ge Fan, Chaoyun Zhang, Kai Wang, and Junyang Chen:
    MV-HAN: A Hybrid Attentive Networks Based Multi-View Learning Model for Large-Scale Contents Recommendation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    12 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, and Xi Yang:
    A Fault Injection Platform for Learning AIOps Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    10 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yi Liu, Yuekang Li, Yang Liu, Ruiyuan Wan, Runchao Wu, and Qingkun Liu:
    Morest: Industry Practice of Automatic RESTful API Testing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    7 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Patrick Stöckle, Theresa Wasserer, Bernd Grobauer, and Alexander Pretschner:
    Automated Identification of Security-Relevant Configuration Settings Using NLP.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    7 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Firas Bayram, Bestoun S. Ahmed, Erik Hallin, and Anton Engman:
    A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    5 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Meriel von Stein and Sebastian G. Elbaum:
    Finding Property Violations Through Network Falsification: Challenges, Adaptations and Lessons Learned from OpenPilot.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    5 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Lei Liu, Wei-Peng Chen, Mehdi Bahrami, and Mukul R. Prasad:
    Automatic Generation of Visualizations for Machine Learning Pipelines.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ate Penders, Ana Lucia Varbanescu, Gregor Pavlin, and Henk J. Sips:
    Design-Space Exploration for Decision-Support Software.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yeonhee Ryou, Sangwoo Joh, Joonmo Yang, Sujin Kim, and Youil Kim:
    Code Understanding Linter to Detect Variable Misuse.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Manish Ahuja, Sukhavasi Narendranath, Swapnajeet Gon Choudhury, Kaushik Amar Das, Kapil Singi, Kuntal Dey, and Vikrant Kaulgud:
    MCDA Framework for Edge-Aware Multi-Cloud Hybrid Architecture Recommendation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): Industry, 2022
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Toufique Ahmed and Premkumar T. Devanbu:
    Few-Shot Training LLMs for Project-Specific Code-Summarization.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    368 cites at Semantic Scholar
    1409% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Junaed Younus Khan and Gias Uddin:
    Automatic Code Documentation Generation Using GPT-3.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    128 cites at Semantic Scholar
    425% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Gan Wang, Zan Wang, Junjie Chen, Xiang Chen, and Ming Yan:
    An Empirical Study on Numerical Bugs in Deep Learning Programs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    25 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Dharun Anandayuvaraj and James C. Davis:
    Reflecting on Recurring Failures in IoT Development.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    24 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Matteo Camilli, Raffaela Mirandola, and Patrizia Scandurra:
    XSA: eXplainable Self-Adaptation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    22 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xin Wang, Xiao Liu, Pingyi Zhou, Qixia Liu, Jin Liu, Hao Wu, and Xiaohui Cui:
    Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Palina Tolmach, Yi Li, and Shang-Wei Lin:
    Property-Based Automated Repair of DeFi Protocols.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    12 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mouna Dhaouadi, Bentley Oakes, and Michalis Famelis:
    End-to-End Rationale Reconstruction.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    7 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jörg Kienzle, Benoît Combemale, Gunter Mussbacher, Omar Alam, Francis Bordeleau, Lola Burgueño, Gregor Engels, Jessie Galasso, Jean-Marc Jézéquel, Bettina Kemme, Sébastien Mosser, Houari A. Sahraoui, Maximilian Schiedermeier, and Eugene Syriani:
    Global Decision Making Over Deep Variability in Feedback-Driven Software Development.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    6 cites at Semantic Scholar
    -75% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Yan Naing Tun, Lwin Khin Shar, and Lingxiao Jiang:
    Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    6 cites at Semantic Scholar
    -75% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Anh Duc Vu, Timo Kehrer, and Christos Tsigkanos:
    Outcome-Preserving Input Reduction for Scientific Data Analysis Workflows.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    5 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Jinfu Chen, Shengran Wang, Saihua Cai, Chi Zhang, Haibo Chen, Jingyi Chen, and Jianming Zhang:
    A Novel Coverage-Guided Greybox Fuzzing Based on Power Schedule Optimization with Time Complexity.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    5 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Anh Tuan Nguyen, Aashish Yadavally, and Tien N. Nguyen:
    Next Syntactic-Unit Code Completion and Applications.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    5 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Christoph Treude:
    Taming Multi-Output Recommenders for Software Engineering.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    4 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Adil Mukhtar, Birgit Hofer, Dietmar Jannach, Franz Wotawa, and Konstantin Schekotihin:
    Boosting Spectrum-Based Fault Localization for Spreadsheets with Product Metrics in a Learning Approach.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    3 cites at Semantic Scholar
    -88% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yoon-Ho Choi and Jaechang Nam:
    On the Naturalness of Bytecode Instructions.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    2 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Misoo Kim, Youngkyoung Kim, Kicheol Kim, and Eunseok Lee:
    Multi-Objective Optimization-Based Bug-Fixing Template Mining for Automated Program Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    2 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Giacomo Priamo, Daniele Cono D'Elia, and Leonardo Querzoni:
    Principled Composition of Function Variants for Dynamic Software Diversity and Program Protection.
    IEEE/ACM International Conference on Automated Software Engineering (ASE): New Ideas and Emerging Results (NIER), 2022
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, and Chao Zhang:
    jTrans: Jump-Aware Transformer for Binary Code Similarity Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhengran Zeng, Hanzhuo Tan, Haotian Zhang, Jing Li, Yuqun Zhang, and Lingming Zhang:
    An Extensive Study on Pre-Trained Models for Program Understanding and Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    186 cites at Semantic Scholar
    663% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Stephan Lipp, Sebastian Banescu, and Alexander Pretschner:
    An Empirical Study on the Effectiveness of Static C Code Analyzers for Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    162 cites at Semantic Scholar
    564% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, and Michael W. Godfrey:
    DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    122 cites at Semantic Scholar
    400% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiao Cheng, Guanqin Zhang, Haoyu Wang, and Yulei Sui:
    Path-Sensitive Code Embedding via Contrastive Learning for Software Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    119 cites at Semantic Scholar
    388% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Myeongsoo Kim, Qi Xin, Saurabh Sinha, and Alessandro Orso:
    Automated Test Generation for REST APIs: No Time to Rest yet.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    116 cites at Semantic Scholar
    376% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, and Hongzhi Yin:
    CIRCLE: Continual Repair Across Programming Languages.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    87 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Michael Weiss and Paolo Tonella:
    Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    76 cites at Semantic Scholar
    212% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anastasios Andronidis and Cristian Cadar:
    SnapFuzz: High-Throughput Fuzzing of Network Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    75 cites at Semantic Scholar
    208% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zeqin Liao, Zibin Zheng, Xiao Chen, and Yuhong Nan:
    SmartDagger: A Bytecode-Based Static Analysis Approach for Detecting Cross-Contract Vulnerability.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    75 cites at Semantic Scholar
    208% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Ye Liu, Yi Li, Shang-Wei Lin, and Cyrille Artho:
    Finding Permission Bugs in Smart Contracts with Role Mining.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    74 cites at Semantic Scholar
    204% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman:
    eTainter: Detecting Gas-Related Vulnerabilities in Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    69 cites at Semantic Scholar
    183% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Binbin Zhao, Shouling Ji, Jiacheng Xu, Yuan Tian, Qiuyang Wei, Qinying Wang, Chenyang Lyu, Xuhong Zhang, Changting Lin, Jingzheng Wu, and Raheem Beyah:
    A Large-Scale Empirical Analysis of the Vulnerabilities Introduced by Third-Party Components in IoT Firmware.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    67 cites at Semantic Scholar
    175% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jialu Zhang, Todd Mytkowicz, Mike Kaufman, Ruzica Piskac, and Shuvendu K. Lahiri:
    Using Pre-Trained Language Models to Resolve Textual and Semantic Merge Conflicts (Experience Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    64 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Daniel Fortunato, José Campos, and Rui Abreu:
    QMutPy: A Mutation Testing Tool for Quantum Algorithms and Applications in Qiskit.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    64 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yaowen Zheng, Yuekang Li, Cen Zhang, Hongsong Zhu, Yang Liu, and Limin Sun:
    Efficient Greybox Fuzzing of Applications in Linux-Based IoT Devices via Enhanced User-Mode Emulation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    56 cites at Semantic Scholar
    130% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yuntong Zhang, Xiang Gao, Gregory J. Duck, and Abhik Roychoudhury:
    Program Vulnerability Repair via Inductive Inference.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    55 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Weimin Chen, Zihan Sun, Haoyu Wang, Xiapu Luo, Haipeng Cai, and Lei Wu:
    WASAI: Uncovering Vulnerabilities in Wasm Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Marcus Nachtigall, Michael Schlichtig, and Eric Bodden:
    A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yingying Zheng, Wensheng Dou, Yicheng Wang, Zheng Qin, Lei Tang, Yu Gao, Dong Wang, Wei Wang, and Jun Wei:
    Finding Bugs in Gremlin-Based Graph Database Systems via Randomized Differential Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    51 cites at Semantic Scholar
    109% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, and Chao Zhang:
    jTrans: Jump-Aware Transformer for Binary Code Similarity Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    237 cites at Semantic Scholar
    872% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhengran Zeng, Hanzhuo Tan, Haotian Zhang, Jing Li, Yuqun Zhang, and Lingming Zhang:
    An Extensive Study on Pre-Trained Models for Program Understanding and Generation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    186 cites at Semantic Scholar
    663% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Stephan Lipp, Sebastian Banescu, and Alexander Pretschner:
    An Empirical Study on the Effectiveness of Static C Code Analyzers for Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    162 cites at Semantic Scholar
    564% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, and Michael W. Godfrey:
    DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    122 cites at Semantic Scholar
    400% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiao Cheng, Guanqin Zhang, Haoyu Wang, and Yulei Sui:
    Path-Sensitive Code Embedding via Contrastive Learning for Software Vulnerability Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    119 cites at Semantic Scholar
    388% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Myeongsoo Kim, Qi Xin, Saurabh Sinha, and Alessandro Orso:
    Automated Test Generation for REST APIs: No Time to Rest yet.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    116 cites at Semantic Scholar
    376% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, and Hongzhi Yin:
    CIRCLE: Continual Repair Across Programming Languages.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    87 cites at Semantic Scholar
    257% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Michael Weiss and Paolo Tonella:
    Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    76 cites at Semantic Scholar
    212% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anastasios Andronidis and Cristian Cadar:
    SnapFuzz: High-Throughput Fuzzing of Network Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    75 cites at Semantic Scholar
    208% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zeqin Liao, Zibin Zheng, Xiao Chen, and Yuhong Nan:
    SmartDagger: A Bytecode-Based Static Analysis Approach for Detecting Cross-Contract Vulnerability.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    75 cites at Semantic Scholar
    208% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Ye Liu, Yi Li, Shang-Wei Lin, and Cyrille Artho:
    Finding Permission Bugs in Smart Contracts with Role Mining.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    74 cites at Semantic Scholar
    204% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman:
    eTainter: Detecting Gas-Related Vulnerabilities in Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    69 cites at Semantic Scholar
    183% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Binbin Zhao, Shouling Ji, Jiacheng Xu, Yuan Tian, Qiuyang Wei, Qinying Wang, Chenyang Lyu, Xuhong Zhang, Changting Lin, Jingzheng Wu, and Raheem Beyah:
    A Large-Scale Empirical Analysis of the Vulnerabilities Introduced by Third-Party Components in IoT Firmware.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    67 cites at Semantic Scholar
    175% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jialu Zhang, Todd Mytkowicz, Mike Kaufman, Ruzica Piskac, and Shuvendu K. Lahiri:
    Using Pre-Trained Language Models to Resolve Textual and Semantic Merge Conflicts (Experience Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    64 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yaowen Zheng, Yuekang Li, Cen Zhang, Hongsong Zhu, Yang Liu, and Limin Sun:
    Efficient Greybox Fuzzing of Applications in Linux-Based IoT Devices via Enhanced User-Mode Emulation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    56 cites at Semantic Scholar
    130% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yuntong Zhang, Xiang Gao, Gregory J. Duck, and Abhik Roychoudhury:
    Program Vulnerability Repair via Inductive Inference.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    55 cites at Semantic Scholar
    126% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Weimin Chen, Zihan Sun, Haoyu Wang, Xiapu Luo, Haipeng Cai, and Lei Wu:
    WASAI: Uncovering Vulnerabilities in Wasm Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Marcus Nachtigall, Michael Schlichtig, and Eric Bodden:
    A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yingying Zheng, Wensheng Dou, Yicheng Wang, Zheng Qin, Lei Tang, Yu Gao, Dong Wang, Wei Wang, and Jun Wei:
    Finding Bugs in Gremlin-Based Graph Database Systems via Randomized Differential Testing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    51 cites at Semantic Scholar
    109% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rebecca Moussa and Federica Sarro:
    On the Use of Evaluation Measures for Defect Prediction Studies.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Daniel Fortunato, José Campos, and Rui Abreu:
    QMutPy: A Mutation Testing Tool for Quantum Algorithms and Applications in Qiskit.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    64 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ziqian Zhang, Yulei Liu, Shengcheng Yu, Xin Li, Yexiao Yun, Chunrong Fang, and Zhenyu Chen:
    UniRLTest: Universal Platform-Independent Testing with Reinforcement Learning via Image Understanding.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    22 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Alexandru Bodea:
    Pytest-Smell: A Smell Detection Tool for Python Unit Tests.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Franz Brauße, Fedor Shmarov, Rafael Menezes, Mikhail R. Gadelha, Konstantin Korovin, Giles Reger, and Lucas C. Cordeiro:
    ESBMC-CHERI: Towards Verification of C Programs for CHERI Platforms with ESBMC.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Eduard Pinconschi, Quang-Cuong Bui, Rui Abreu, Pedro Adão, and Riccardo Scandariato:
    Maestro: A Platform for Benchmarking Automatic Program Repair Tools on Software Vulnerabilities.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wunan Guo, Zhen Dong, Liwei Shen, Wei Tian, Ting Su, and Xin Peng:
    iFixDataloss: A Tool for Detecting and Fixing Data Loss Issues in Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    8 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Rafael Menezes, Daniel Moura, Helena Cavalcante, Rosiane de Freitas, and Lucas C. Cordeiro:
    ESBMC-Jimple: Verifying Kotlin Programs via Jimple Intermediate Representation.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    4 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Boxiang Wang, Rui Chen, Chao Li, Tingting Yu, Dongdong Gao, and Mengfei Yang:
    SpecChecker-ISA: A Data Sharing Analyzer for Interrupt-Driven Embedded Software.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    4 cites at Semantic Scholar
    -84% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Cecilio Cannavacciuolo and Leonardo Mariani:
    Automatic Generation of Smoke Test Suites for Kubernetes.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    2 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ali Ghanbari and Andrian Marcus:
    Faster Mutation Analysis with MeMu.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Chanh Duc Ngo, Fabrizio Pastore, and Lionel C. Briand:
    ATUA: An Update-Driven App Testing Tool.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2022
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Michael Fu and Chakkrit Tantithamthavorn:
    LineVul: A Transformer-Based Line-Level Vulnerability Prediction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    🏆 Distinguished Paper
    566 cites at Semantic Scholar
    2221% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Nhan Nguyen and Sarah Nadi:
    An Empirical Evaluation of GitHub Copilot's Code Suggestions.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    409 cites at Semantic Scholar
    1577% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    David Hin, Andrey Kan, Huaming Chen, and Muhammad Ali Babar:
    LineVD: Statement-Level Vulnerability Detection Using Graph Neural Networks.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    270 cites at Semantic Scholar
    1007% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Kim Herzig, Luke Ghostling, Maximilian Grothusmann, Sascha Just, Nora Huang, Alan Klimowski, Yashasvini Ramkumar, Myles McLeroy, Kivanç Muslu, Hitesh Sajnani, and Varsha Vadaga:
    Microsoft CloudMine: Data Mining for the Executive Order on Improving the Nation's Cybersecurity.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    137 cites at Semantic Scholar
    462% above average of year
    Visited: Sep-2026
    Paper: Link
  5. 5
    Quang-Cuong Bui, Riccardo Scandariato, and Nicolás E. Díaz Ferreyra:
    Vul4J: A Dataset of Reproducible Java Vulnerabilities Geared Towards the Study of Program Repair Techniques.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    🏆 Best Data Showcase Paper
    102 cites at Semantic Scholar
    318% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Konstantin Grotov, Sergey Titov, Vladimir Sotnikov, Yaroslav Golubev, and Timofey Bryksin:
    A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    🏆 Distinguished Paper
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, and Dongmei Zhang:
    LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Michele Tufano, Shao Kun Deng, Neel Sundaresan, and Alexey Svyatkovskiy:
    METHODS2TEST: A Dataset of Focal Methods Mapped to Test Cases.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    50 cites at Semantic Scholar
    105% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Adem Ait, Javier Luis Cánovas Izquierdo, and Jordi Cabot:
    An Empirical Study on the Survival Rate of GitHub Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, and Yves Le Traon:
    GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    44 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Triet Huynh Minh Le and Muhammad Ali Babar:
    On the Use of Fine-Grained Vulnerable Code Statements for Software Vulnerability Assessment Models.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    41 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Eman Abdullah AlOmar, Moataz Chouchen, Mohamed Wiem Mkaouer, and Ali Ouni:
    Code Review Practices for Refactoring Changes: An Empirical Study on OpenStack.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    40 cites at Semantic Scholar
    64% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Justus Bogner and Manuel Merkel:
    To Type or Not to Type? A Systematic Comparison of the Software Quality of JavaScript and TypeScript Applications on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    40 cites at Semantic Scholar
    64% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, and Federica Sarro:
    A Versatile Dataset of Agile Open Source Software Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    36 cites at Semantic Scholar
    48% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Lloyd Montgomery, Clara Marie Lüders, and Walid Maalej:
    An Alternative Issue Tracking Dataset of Public Jira Repositories.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    34 cites at Semantic Scholar
    39% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Matteo Ciniselli, Luca Pascarella, and Gabriele Bavota:
    To What Extent Do Deep Learning-Based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    33 cites at Semantic Scholar
    35% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ahmad Abdellatif, Mairieli Santos Wessel, Igor Steinmacher, Marco Aurélio Gerosa, and Emad Shihab:
    BotHunter: An Approach to Detect Software Bots in GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    32 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Cedric Richter and Heike Wehrheim:
    TSSB-3M: Mining Single Statement Bugs at Massive Scale.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    31 cites at Semantic Scholar
    27% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Ruben Opdebeeck, Ahmed Zerouali, and Coen De Roover:
    Smelly Variables in Ansible Infrastructure Code: Detection, Prevalence, and Lifetime.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    28 cites at Semantic Scholar
    15% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Hossein Keshavarz and Meiyappan Nagappan:
    ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2022
    27 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Jordan Henkel, Goutham Ramakrishnan, Zi Wang, Aws Albarghouthi, Somesh Jha, and Thomas W. Reps:
    Semantic Robustness of Models of Source Code.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    133 cites at Semantic Scholar
    445% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mehdi Golzadeh, Alexandre Decan, and Tom Mens:
    On the Rise and Fall of CI Services in GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    84 cites at Semantic Scholar
    245% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, and Baishakhi Ray:
    VELVET: A noVel Ensemble Learning Approach to Automatically Locate VulnErable sTatements.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    70 cites at Semantic Scholar
    187% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Giuseppe Antonio Pierro and Roberto Tonelli:
    Can Solana Be the Solution to the Blockchain Scalability Problem?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    52 cites at Semantic Scholar
    113% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Christian Birchler, Nicolas Ganz, Sajad Khatiri, Alessio Gambi, and Sebastiano Panichella:
    Cost-Effective Simulation-Based Test Selection in Self-Driving Cars Software with SDC-Scissor.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    48 cites at OpenAlex
    97% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, and Zenglin Xu:
    Source Code Summarization with Structural Relative Position Guided Transformer.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    48 cites at Semantic Scholar
    97% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, and Yang Liu:
    Learning Program Semantics with Code Representations: An Empirical Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    47 cites at OpenAlex
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jian Gu, Pasquale Salza, and Harald C. Gall:
    Assemble Foundation Models for Automatic Code Summarization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    46 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Wolfgang Mauerer and Stefanie Scherzinger:
    1-2-3 Reproducibility for Quantum Software Experiments.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    46 cites at Semantic Scholar
    89% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, and David Lo:
    Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    45 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Giang Nguyen-Truong, Hong Jin Kang, David Lo, Abhishek Sharma, Andrew E. Santosa, Asankhaya Sharma, and Ming Yi Ang:
    HERMES: Using Commit-Issue Linking to Detect Vulnerability-Fixing Commits.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    43 cites at Semantic Scholar
    76% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Dongge Liu, Van-Thuan Pham, Gidon Ernst, Toby Murray, and Benjamin I. P. Rubinstein:
    State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    42 cites at Semantic Scholar
    72% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Shichao Wang, Yun Zhang, Liagfeng Bao, Xin Xia, and Minghui Wu:
    VCMatch: A Ranking-Based Approach for Automatic Security Patches Localization for OSS Vulnerabilities.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    42 cites at Semantic Scholar
    72% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, and Hai Jin:
    Cross-Language Binary-Source Code Matching with Intermediate Representations.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    41 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, and Jianjun Zhao:
    A Comprehensive Study of Bug Fixes in Quantum Programs.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    38 cites at Semantic Scholar
    56% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alex Serban and Joost Visser:
    Adapting Software Architectures to Machine Learning Challenges.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    37 cites at Semantic Scholar
    52% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Guang Yang, Xiang Chen, Yanlin Zhou, and Chi Yu:
    DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    35 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, and David Lo:
    Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    34 cites at Semantic Scholar
    39% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jack Johnson, Junayed Mahmud, Tyler Wendland, Kevin Moran, Julia Rubin, and Mattia Fazzini:
    An Empirical Investigation into the Reproduction of Bug Reports for Android Apps.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    32 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Zishuo Ding, Heng Li, and Weiyi Shang:
    LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022
    28 cites at Semantic Scholar
    15% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Alexandre Decan, Tom Mens, Pooya Rostami Mazrae, and Mehdi Golzadeh:
    On the Use of GitHub Actions in Software Development Repositories.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    92 cites at Semantic Scholar
    277% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, and Saikat Mondal:
    Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-Hoc Explanations of Defect Predictions.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    43 cites at Semantic Scholar
    76% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chi Yu, Guang Yang, Xiang Chen, Ke Liu, and Yanlin Zhou:
    BashExplainer: Retrieval-Augmented Bash Code Comment Generation Based on Fine-Tuned CodeBERT.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    39 cites at Semantic Scholar
    60% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Aït Mohamed, and Mohammed A. Shehab:
    An Effective Approach for Parsing Large Log Files.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    38 cites at Semantic Scholar
    56% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Negar Hashemi, Amjed Tahir, and Shawn Rasheed:
    An Empirical Study of Flaky Tests in JavaScript.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    29 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, and Zhen Ming Jack Jiang:
    An Empirical Study of Challenges in Converting Deep Learning Models.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    27 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Di Cui, Siqi Wang, Yong Luo, Xingyu Li, Jie Dai, Lu Wang, and Qingshan Li:
    RMove: Recommending Move Method Refactoring Opportunities Using Structural and Semantic Representations of Code.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    26 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Davide Corradini, Amedeo Zampieri, Michele Pasqua, and Mariano Ceccato:
    RestTestGen: An Extensible Framework for Automated Black-Box Testing of RESTful APIs.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    25 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, and Lingxiao Jiang:
    AutoPRTitle: A Tool for Automatic Pull Request Title Generation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    21 cites at Semantic Scholar
    -14% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Forough Majidi, Moses Openja, Foutse Khomh, and Heng Li:
    An Empirical Study on the Usage of Automated Machine Learning Tools.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    19 cites at Semantic Scholar
    -22% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, and Lingxiao Jiang:
    Automatic Pull Request Title Generation.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    19 cites at Semantic Scholar
    -22% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mohammed Alhamed and Tim Storer:
    Evaluation of Context-Aware Language Models and Experts for Effort Estimation of Software Maintenance Issues.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Guoxian Lu, Wei Hou, David Gregg, and Jim Buckley:
    Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Chao Peng, Zhao Zhang, Zhengwei Lv, and Ping Yang:
    MUBot: Learning to Test Large-Scale Commercial Android Apps Like a Human.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, and Yves Le Traon:
    What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Thanh-Dat Nguyen, Thanh Le-Cong, Duc-Minh Luong, Van-Hai Duong, Xuan-Bach Dinh Le, David Lo, and Quyet-Thang Huynh:
    FFL: Fine-Grained Fault Localization for Student Programs via Syntactic and Semantic Reasoning.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Gianmario Voria, Viviana Pentangelo, Antonio Della Porta, Stefano Lambiase, Gemma Catolino, Fabio Palomba, and Filomena Ferrucci:
    Community Smell Detection and Refactoring in SLACK: The CADOCS Project.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, and Tegawendé F. Bissyandé:
    Peeler: Learning to Effectively Predict Flakiness Without Running Tests.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, and Qinghua Lu:
    Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    12 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yuan Jiang, Christian Kästner, and Shurui Zhou:
    Elevating Jupyter Notebook Maintenance Tooling by Identifying and Extracting Notebook Structures.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
    11 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Yue Liu, Chakkrit Tantithamthavorn, Li Li, and Yepang Liu:
    Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    53 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Vittorio Orbinato, Mariarosaria Barbaraci, Roberto Natella, and Domenico Cotroneo:
    Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study: (Practical Experience Report).
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    52 cites at Semantic Scholar
    113% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ke Zhang, Chenxi Zhang, Xin Peng, and Chaofeng Sha:
    PUTraceAD: Trace Anomaly Detection with Partial Labels Based on GNN and PU Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    31 cites at Semantic Scholar
    27% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Udit Kumar Agarwal, Abraham Chan, and Karthik Pattabiraman:
    LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track).
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    25 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Xiaoyun Li, Guangba Yu, Pengfei Chen, Hongyang Chen, and Zhekang Chen:
    Going Through the Life Cycle of Faults in Clouds: Guidelines on Fault Handling.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    21 cites at Semantic Scholar
    -14% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jianfei Zhu, Guanping Xiao, Zheng Zheng, and Yulei Sui:
    Enhancing Traceability Link Recovery with Unlabeled Data.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    20 cites at Semantic Scholar
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Joris Guérin, Raul Sena Ferreira, Kevin Delmas, and Jérémie Guiochet:
    Unifying Evaluation of Machine Learning Safety Monitors.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Xingliang Du and Jun Ma:
    AexPy: Detecting API Breaking Changes in Python Packages.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhihao Liu, Yang Zheng, Xiaoting Du, Zheng Hu, Wenjie Ding, Yanming Miao, and Zheng Zheng:
    Taxonomy of Aging-Related Bugs in Deep Learning Libraries.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Han Wu, Zilong Zhao, Lydia Y. Chen, and Aad van Moorsel:
    Federated Learning for Tabular Data: Exploring Potential Risk to Privacy.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Tabea Schmidt and Alexander Pretschner:
    StellaUAV: A Tool for Testing the Safe Behavior of UAVs with Scenario-Based Testing (Tools and Artifact Track).
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xiaoyuan Xie, Ying Duan, Songqiang Chen, and Jifeng Xuan:
    Towards the Robustness of Multiple Object Tracking Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, and Yuhao Zhu:
    Braum: Analyzing and Protecting Autonomous Machine Software Stack.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, and Dan Pei:
    Identifying Erroneous Software Changes Through Self-Supervised Contrastive Learning on Time Series Data.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    12 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Matheus Torquato, Paulo Romero Martins Maciel, and Marco Vieira:
    Software Rejuvenation Meets Moving Target Defense: Modeling of Time-Based Virtual Machine Migration Approach.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    10 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Peter Bishop, Andrey Povyakalo, and Lorenzo Strigini:
    Bootstrapping Confidence in Future Safety from Past Safe Operation.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    10 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ezio Bartocci, Leonardo Mariani, Dejan Nickovic, and Drishti Yadav:
    Search-Based Testing for Accurate Fault Localization in CPS.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    10 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zilong He, Pengfei Chen, and Tao Huang:
    Share or Not Share? Towards the Practicability of Deep Models for Unsupervised Anomaly Detection in Modern Online Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, and Marsha Chechik:
    What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    He Su, Lili Xu, Huina Chao, Feng Li, Zimu Yuan, Jianhua Zhou, and Wei Huo:
    A Sanitizer-Centric Analysis to Detect Cross-Site Scripting in PHP Programs.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Sarra Habchi, Guillaume Haben, Mike Papadakis, Maxime Cordy, and Yves Le Traon:
    A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    41 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Martin Gruber and Gordon Fraser:
    A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    30 cites at OpenAlex
    23% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ahcheong Lee, Irfan Ariq, Yunho Kim, and Moonzoo Kim:
    POWER: Program Option-Aware Fuzzer for High Bug Detection Ability.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    30 cites at Semantic Scholar
    23% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ali S. Alotaibi, Paul T. Chiou, and William G. J. Halfond:
    Automated Detection of TalkBack Interactive Accessibility Failures in Android Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    23 cites at Semantic Scholar
    -6% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Cedric Richter and Heike Wehrheim:
    Learning Realistic Mutations: Bug Creation for Neural Bug Detectors.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    22 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Saikat Dutta, Anshul Arunachalam, and Sasa Misailovic:
    To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    21 cites at Semantic Scholar
    -14% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ciprian Paduraru, Miruna Paduraru, and Alin Stefanescu:
    RiverGame - a Game Testing Tool Using Artificial Intelligence.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    21 cites at Semantic Scholar
    -14% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn:
    Evaluating Features for Machine Learning Detection of Order- and Non-Order-Dependent Flaky Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Man Zhang, Asma Belhadi, and Andrea Arcuri:
    JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Paul Fiterau-Brostean, Bengt Jonsson, Konstantinos Sagonas, and Fredrik Tåquist:
    DTLS-Fuzzer: A DTLS Protocol State Fuzzer.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Katharina Götz, Patric Feldmeier, and Gordon Fraser:
    Model-Based Testing of Scratch Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Jun-Wei Lin and Sam Malek:
    GUI Test Transfer from Web to Android.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    17 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mohammad Mehedi Hassan and Akond Rahman:
    As Code Testing: Characterizing Test Quality in Open Source Ansible Development.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    16 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Louise Zetterlund, Deepika Tiwari, Martin Monperrus, and Benoit Baudry:
    Harvesting Production GraphQL Queries to Detect Schema Faults.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    15 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Dario Asprone, Jonathan Metzman, Abhishek Arya, Giovani Guizzo, and Federica Sarro:
    Comparing Fuzzers on a Level Playing Field with FuzzBench.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Riyadh Mahmood, Jay Pennington, Danny Tsang, Tan Tran, and Andrea Bogle:
    A Framework for Automated API Fuzzing at Enterprise Scale.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    14 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Samiha Shimmi and Mona Rahimi:
    Patterns of Code-to-Test Co-Evolution for Automated Test Suite Maintenance.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    13 cites at Semantic Scholar
    -47% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Robert Sebastian Herlim, Yunho Kim, and Moonzoo Kim:
    CITRUS: Automated Unit Testing Tool for Real-World C++ Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    11 cites at Semantic Scholar
    -55% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Luca Gazzola, Leonardo Mariani, Matteo Orrù, Mauro Pezzè, and Martin Tappler:
    Testing Software in Production Environments with Data from the Field.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Maurizio Leotta, Antonio Molinari, and Filippo Ricca:
    Assessor: A PO-Based WebDriver Test Suites Generator from Selenium IDE Recordings.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2022
    9 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, and Zhi Jin:
    Learning to Represent Programs with Heterogeneous Graphs.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    80 cites at Semantic Scholar
    228% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sakib Haque, Zachary Eberhart, Aakash Bansal, and Collin McMillan:
    Semantic Similarity Metrics for Evaluating Source Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    74 cites at Semantic Scholar
    204% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Fuxiang Chen, Fatemeh H. Fard, David Lo, and Timofey Bryksin:
    On the Transferability of Pre-Trained Language Models for Low-Resource Programming Languages.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    71 cites at Semantic Scholar
    191% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yuexiu Gao and Chen Lyu:
    M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    54 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Chenning Tao, Qi Zhan, Xing Hu, and Xin Xia:
    C4: Contrastive Cross-Language Code Clone Detection.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    52 cites at Semantic Scholar
    113% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, and David Lo:
    PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-Trained Models.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    49 cites at Semantic Scholar
    101% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, and David Lo:
    An Exploratory Study on Code Attention in BERT.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    41 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ying Zhang, Ya Xiao, Md Mahir Asef Kabir, Danfeng (Daphne) Yao, and Na Meng:
    Example-Based Vulnerability Detection and Repair in Java Code.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    41 cites at Semantic Scholar
    68% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yu Wang, Yu Dong, Xuesong Lu, and Aoying Zhou:
    GypSum: Learning Hybrid Representations for Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    35 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Kesu Wang, Meng Yan, He Zhang, and Haibo Hu:
    Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    33 cites at Semantic Scholar
    35% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Imam Nur Bani Yusuf, Lingxiao Jiang, and David Lo:
    Accurate Generation of Trigger-Action Programs with Domain-Adapted Sequence-to-Sequence Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    29 cites at Semantic Scholar
    19% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Amine Abbad-Andaloussi, Thierry Sorg, and Barbara Weber:
    Estimating Developers' Cognitive Load at a Fine-Grained Level Using Eye-Tracking Measures.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    27 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yi Cheng and Li Kuang:
    CSRS: Code Search with Relevance Matching and Semantic Matching.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    27 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xiao Wang, Qiong Wu, Hongyu Zhang, Chen Lyu, Xue Jiang, Zhuoran Zheng, Lei Lyu, and Songlin Hu:
    HELoC: Hierarchical Contrastive Learning of Source Code Representation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    27 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, and Zhenlin Wang:
    Exploring GNN Based Program Embedding Technologies for Binary Related Tasks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    24 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Stefanus A. Haryono, Hong Jin Kang, Abhishek Sharma, Asankhaya Sharma, Andrew E. Santosa, Ming Yi Ang, and David Lo:
    Automated Identification of Libraries from Vulnerability Data: Can We Do Better?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    24 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Divyam Goel, Ramansh Grover, and Fatemeh H. Fard:
    On the Cross-Modal Transfer from Natural Language to Code Through Adapter Modules.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    23 cites at Semantic Scholar
    -6% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, and David Lo:
    XAI4FL: Enhancing Spectrum-Based Fault Localization with Explainable Artificial Intelligence.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    20 cites at Semantic Scholar
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yuan Huang, Furen Xu, Haojie Zhou, Xiangping Chen, Xiaocong Zhou, and Tong Wang:
    Towards Exploring the Code Reuse from Stack Overflow During Software Development.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    19 cites at Semantic Scholar
    -22% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Junjie Wang, Yuchao Huang, Song Wang, and Qing Wang:
    Find Bugs in Static Bug Finders.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2022
    18 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2021 normalized by age ⌄

  1. 1
    Nan Jiang, Thibaud Lutellier, and Lin Tan:
    CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.
    International Conference on Software Engineering (ICSE), 2021
    423 cites at Semantic Scholar
    1458% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Vulnerability Detection with Fine-Grained Interpretations.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    361 cites at Semantic Scholar
    1230% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Van-Hoang Le and Hongyu Zhang:
    Log-Based Anomaly Detection Without Log Parsing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    335 cites at Semantic Scholar
    1134% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, and Lu Zhang:
    A Syntax-Guided Edit Decoder for Neural Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    310 cites at Semantic Scholar
    1042% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Kewen Peng and Tim Menzies:
    Documenting Evidence of a Reuse of '"Why Should I Trust You?": Explaining the Predictions of Any Classifier'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    304 cites at Semantic Scholar
    1020% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, and Gabriele Bavota:
    Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.
    International Conference on Software Engineering (ICSE), 2021
    290 cites at Semantic Scholar
    968% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, and Wenbin Zhang:
    Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation.
    International Conference on Software Engineering (ICSE), 2021
    288 cites at Semantic Scholar
    961% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Joymallya Chakraborty, Suvodeep Majumder, and Tim Menzies:
    Bias in Machine Learning Software: Why? How? What to Do?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    266 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Seohyun Kim, Jinman Zhao, Yuchi Tian, and Satish Chandra:
    Code Prediction by Feeding Trees to Transformers.
    International Conference on Software Engineering (ICSE), 2021
    247 cites at Semantic Scholar
    810% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jonathan Metzman, László Szekeres, Laurent Simon, Read Sprabery, and Abhishek Arya:
    FuzzBench: An Open Fuzzer Benchmarking Platform and Service.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    241 cites at Semantic Scholar
    788% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jaeseung Choi, Doyeon Kim, Soomin Kim, Gustavo Grieco, Alex Groce, and Sang Kil Cha:
    SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    223 cites at Semantic Scholar
    722% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ozren Dabic, Emad Aghajani, and Gabriele Bavota:
    Sampling Projects in GitHub for MSR Studies.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    222 cites at Semantic Scholar
    718% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, and Gabriele Bavota:
    Towards Automating Code Review Activities.
    International Conference on Software Engineering (ICSE), 2021
    212 cites at Semantic Scholar
    681% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, and Zheshun Wu:
    MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    209 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, and Lingming Zhang:
    Boosting Coverage-Based Fault Localization via Graph-Based Representation Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    195 cites at Semantic Scholar
    618% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, and Zhong Su:
    D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    188 cites at Semantic Scholar
    593% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Fault Localization with Code Coverage Representation Learning.
    International Conference on Software Engineering (ICSE), 2021
    182 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, and Jane Cleland-Huang:
    Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models.
    International Conference on Software Engineering (ICSE), 2021
    170 cites at Semantic Scholar
    526% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Ehsan Mashhadi and Hadi Hemmati:
    Applying CodeBERT for Automated Program Repair of Java Simple Bugs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    161 cites at Semantic Scholar
    493% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Sumon Biswas and Hridesh Rajan:
    Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    159 cites at Semantic Scholar
    486% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Nan Jiang, Thibaud Lutellier, and Lin Tan:
    CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.
    International Conference on Software Engineering (ICSE), 2021
    423 cites at Semantic Scholar
    1458% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, and Gabriele Bavota:
    Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.
    International Conference on Software Engineering (ICSE), 2021
    290 cites at Semantic Scholar
    968% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, and Wenbin Zhang:
    Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation.
    International Conference on Software Engineering (ICSE), 2021
    288 cites at Semantic Scholar
    961% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Seohyun Kim, Jinman Zhao, Yuchi Tian, and Satish Chandra:
    Code Prediction by Feeding Trees to Transformers.
    International Conference on Software Engineering (ICSE), 2021
    247 cites at Semantic Scholar
    810% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, and Gabriele Bavota:
    Towards Automating Code Review Activities.
    International Conference on Software Engineering (ICSE), 2021
    212 cites at Semantic Scholar
    681% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, and Zheshun Wu:
    MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    209 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, and Zhong Su:
    D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    188 cites at Semantic Scholar
    593% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Fault Localization with Code Coverage Representation Learning.
    International Conference on Software Engineering (ICSE), 2021
    182 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, and Jane Cleland-Huang:
    Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models.
    International Conference on Software Engineering (ICSE), 2021
    170 cites at Semantic Scholar
    526% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zan Wang, Hanmo You, Junjie Chen, Yingyi Zhang, Xuyuan Dong, and Wenbin Zhang:
    Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis.
    International Conference on Software Engineering (ICSE), 2021
    139 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, and Yang Liu:
    ATVHUNTER: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications.
    International Conference on Software Engineering (ICSE), 2021
    124 cites at Semantic Scholar
    357% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Nghi D. Q. Bui, Yijun Yu, and Lingxiao Jiang:
    InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees.
    International Conference on Software Engineering (ICSE), 2021
    123 cites at Semantic Scholar
    353% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis, and Dimitris Mitropoulos:
    PyCG: Practical Call Graph Generation in Python.
    International Conference on Software Engineering (ICSE), 2021
    121 cites at Semantic Scholar
    346% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Mohammad Wardat, Wei Le, and Hridesh Rajan:
    DeepLocalize: Fault Localization for Deep Neural Networks.
    International Conference on Software Engineering (ICSE), 2021
    115 cites at Semantic Scholar
    324% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Courtney Miller, Paige Rodeghero, Margaret-Anne D. Storey, Denae Ford, and Thomas Zimmermann:
    "How Was Your Weekend?" Software Development Teams Working From Home During COVID-19.
    International Conference on Software Engineering (ICSE), 2021
    106 cites at Semantic Scholar
    291% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Marco Aurélio Gerosa, Igor Wiese, Bianca Trinkenreich, Georg Link, Gregorio Robles, Christoph Treude, Igor Steinmacher, and Anita Sarma:
    The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source.
    International Conference on Software Engineering (ICSE), 2021
    105 cites at Semantic Scholar
    287% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Abdulrahman Alshammari, Christopher Morris, Michael Hilton, and Jonathan Bell:
    FlakeFlagger: Predicting Flakiness Without Rerunning Tests.
    International Conference on Software Engineering (ICSE), 2021
    104 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, and Yang Liu:
    Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.
    International Conference on Software Engineering (ICSE), 2021
    101 cites at Semantic Scholar
    272% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Junjie Chen, Ningxin Xu, Peiqi Chen, and Hongyu Zhang:
    Efficient Compiler Autotuning via Bayesian Optimization.
    International Conference on Software Engineering (ICSE), 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, and Yunxin Liu:
    DeepPayload: Black-Box Backdoor Attack on Deep Learning Models Through Neural Payload Injection.
    International Conference on Software Engineering (ICSE), 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Nan Jiang, Thibaud Lutellier, and Lin Tan:
    CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.
    International Conference on Software Engineering (ICSE), 2021
    423 cites at Semantic Scholar
    1458% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, and Gabriele Bavota:
    Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.
    International Conference on Software Engineering (ICSE), 2021
    290 cites at Semantic Scholar
    968% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, and Wenbin Zhang:
    Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation.
    International Conference on Software Engineering (ICSE), 2021
    288 cites at Semantic Scholar
    961% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Seohyun Kim, Jinman Zhao, Yuchi Tian, and Satish Chandra:
    Code Prediction by Feeding Trees to Transformers.
    International Conference on Software Engineering (ICSE), 2021
    247 cites at Semantic Scholar
    810% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, and Gabriele Bavota:
    Towards Automating Code Review Activities.
    International Conference on Software Engineering (ICSE), 2021
    212 cites at Semantic Scholar
    681% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Fault Localization with Code Coverage Representation Learning.
    International Conference on Software Engineering (ICSE), 2021
    182 cites at Semantic Scholar
    571% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, and Jane Cleland-Huang:
    Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models.
    International Conference on Software Engineering (ICSE), 2021
    170 cites at Semantic Scholar
    526% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zan Wang, Hanmo You, Junjie Chen, Yingyi Zhang, Xuyuan Dong, and Wenbin Zhang:
    Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis.
    International Conference on Software Engineering (ICSE), 2021
    139 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, and Yang Liu:
    ATVHUNTER: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications.
    International Conference on Software Engineering (ICSE), 2021
    124 cites at Semantic Scholar
    357% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Nghi D. Q. Bui, Yijun Yu, and Lingxiao Jiang:
    InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees.
    International Conference on Software Engineering (ICSE), 2021
    123 cites at Semantic Scholar
    353% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis, and Dimitris Mitropoulos:
    PyCG: Practical Call Graph Generation in Python.
    International Conference on Software Engineering (ICSE), 2021
    121 cites at Semantic Scholar
    346% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Mohammad Wardat, Wei Le, and Hridesh Rajan:
    DeepLocalize: Fault Localization for Deep Neural Networks.
    International Conference on Software Engineering (ICSE), 2021
    115 cites at Semantic Scholar
    324% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Courtney Miller, Paige Rodeghero, Margaret-Anne D. Storey, Denae Ford, and Thomas Zimmermann:
    "How Was Your Weekend?" Software Development Teams Working From Home During COVID-19.
    International Conference on Software Engineering (ICSE), 2021
    106 cites at Semantic Scholar
    291% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marco Aurélio Gerosa, Igor Wiese, Bianca Trinkenreich, Georg Link, Gregorio Robles, Christoph Treude, Igor Steinmacher, and Anita Sarma:
    The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source.
    International Conference on Software Engineering (ICSE), 2021
    105 cites at Semantic Scholar
    287% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Abdulrahman Alshammari, Christopher Morris, Michael Hilton, and Jonathan Bell:
    FlakeFlagger: Predicting Flakiness Without Rerunning Tests.
    International Conference on Software Engineering (ICSE), 2021
    104 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, and Yang Liu:
    Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.
    International Conference on Software Engineering (ICSE), 2021
    101 cites at Semantic Scholar
    272% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Junjie Chen, Ningxin Xu, Peiqi Chen, and Hongyu Zhang:
    Efficient Compiler Autotuning via Bayesian Optimization.
    International Conference on Software Engineering (ICSE), 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, and Yunxin Liu:
    DeepPayload: Black-Box Backdoor Attack on Deep Learning Models Through Neural Payload Injection.
    International Conference on Software Engineering (ICSE), 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, and Xuanzhe Liu:
    An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications.
    International Conference on Software Engineering (ICSE), 2021
    96 cites at Semantic Scholar
    254% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Norman Peitek, Sven Apel, Chris Parnin, André Brechmann, and Janet Siegmund:
    Program Comprehension and Code Complexity Metrics: An fMRI Study.
    International Conference on Software Engineering (ICSE), 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI

Artifacts ⌄

  1. 1
    Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, and Denys Poshyvanyk:
    A Replication Package for It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    66 cites at Semantic Scholar
    143% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, and Wenbin Zhang:
    PLELog: Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    65 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jihyeok Park, Seungmin An, Dongjun Youn, Gyeongwon Kim, and Sukyoung Ryu:
    JEST: N+1-Version Differential Testing of Both JavaScript Engines and Specification.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    🏆 Distinguished Paper
    49 cites at Semantic Scholar
    81% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, and Damith C. Ranasinghe:
    An Empirical Assessment of Global COVID-19 Contact Tracing Applications.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    15 cites at OpenAlex
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, and Prateek Saxena:
    Scalable Quantitative Verification for Deep Neural Networks.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    9 cites at OpenAlex
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Xianhao Jin and Francisco Servant:
    CIBench: A Dataset and Collection of Techniques for Build and Test Selection and Prioritization in Continuous Integration.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, and Baowen Xu:
    PyART: Python API Recommendation in Real-Time.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    8 cites at OpenAlex
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Norman Peitek, Sven Apel, Chris Parnin, André Brechmann, and Janet Siegmund:
    Program Comprehension and Code Complexity Metrics: A Replication Package of an fMRI Study.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yuanliang Zhang, Haochen He, Owolabi Legunsen, Shanshan Li, Wei Dong, and Tianyin Xu:
    An Evolutionary Study of Configuration Design and Implementation in Cloud Systems.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    6 cites at OpenAlex
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rajshakhar Paul, Asif Kamal Turzo, and Amiangshu Bosu:
    A Dataset of Vulnerable Code Changes of the Chromium OS Project.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Sumaya Almanee, Arda Ünal, Mathias Payer, and Joshua Garcia:
    Too Quiet in the Library: An Empirical Study of Security Updates in Android Apps' Native Code.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at OpenAlex
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, and Lionel C. Briand:
    MAANA: An Automated Tool for DoMAin-Specific HANdling of Ambiguity.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Felix Grund, Shaiful Alam Chowdhury, Nick C. Bradley, Braxton Hall, and Reid Holmes:
    CodeShovel: A Reusable and Available Tool for Extracting Source Code Histories.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, and Christoph Treude:
    Research Artifact: The Potential of Meta-Maintenance on GitHub.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Claudio Menghi, Enrico Viganò, Domenico Bianculli, and Lionel C. Briand:
    ThEodorE: A Trace Checker for CPS Properties.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, and Xiaohu Yang:
    Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43Rd IEEE/ACM International Conference on Software Engineering (ICSE 2021).
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    4 cites at OpenAlex
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Qinkun Bao, Zihao Wang, James R. Larus, and Dinghao Wu:
    Abacus: A Tool for Precise Side-Channel Analysis.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Sungjae Hwang, Sungho Lee, Jihoon Kim, and Sukyoung Ryu:
    JUSTGen: Effective Test Generation for Unspecified JNI Behaviors on JVMs.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    3 cites at OpenAlex
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Facundo Molina, Pablo Ponzio, Nazareno Aguirre, and Marcelo F. Frias:
    EvoSpex: An Evolutionary Algorithm for Learning Postconditions (Artifact).
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Abdulrahman Alshammari, Christopher Morris, Michael Hilton, and Jonathan Bell:
    FlakeFlagger: Predicting Flakiness Without Rerunning Tests.
    International Conference on Software Engineering (ICSE): Artifacts, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Alessio Ferrari, Liping Zhao, and Waad Alhoshan:
    NLP for Requirements Engineering: Tasks, Techniques, Tools, and Technologies.
    International Conference on Software Engineering (ICSE): Companion, 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Rashina Hoda:
    Decoding Grounded Theory for Software Engineering.
    International Conference on Software Engineering (ICSE): Companion, 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Gwendal Daniel and Jordi Cabot:
    The Software Challenges of Building Smart Chatbots.
    International Conference on Software Engineering (ICSE): Companion, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Shahar Maoz and Jan Oliver Ringert:
    Reactive Synthesis with Spectra: A Tutorial.
    International Conference on Software Engineering (ICSE): Companion, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Ville Vakkuri, Kai-Kristian Kemell, and Pekka Abrahamsson:
    Technical Briefing: Hands-On Session on the Development of Trustworthy AI Software.
    International Conference on Software Engineering (ICSE): Companion, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Utkarsh Desai, Giriprasad Sridhara, and Srikanth Tamilselvam:
    Advances in Code Summarization.
    International Conference on Software Engineering (ICSE): Companion, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Richard Torkar, Carlo A. Furia, and Robert Feldt:
    Bayesian Data Analysis for Software Engineering.
    International Conference on Software Engineering (ICSE): Companion, 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, and Hong Lei:
    BLOCKEYE: Hunting for DeFi Attacks on Blockchain.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    55 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sara Pérez-Soler, Esther Guerra, and Juan de Lara:
    Creating and Migrating Chatbots with Conga.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    23 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Madeleine Havranek, Carlos Bernal-Cárdenas, Nathan Cooper, Oscar Chaparro, Denys Poshyvanyk, and Kevin Moran:
    V2S: A Tool for Translating Video Recordings of Mobile App Usages into Replayable Scenarios.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, and Gilles Muller:
    AndroEvolve: Automated Update for Android Deprecated-API Usages.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Aparna Vadlamani, Rishitha Kalicheti, and Sridhar Chimalakonda:
    APIScanner - Towards Automated Detection of Deprecated APIs in Python Libraries.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, and Shanping Li:
    UIS-Hunter: Detecting UI Design Smells in Android Apps.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Sarah Fakhoury, Devjeet Roy, Harry Pines, Tyler Cleveland, Cole S. Peterson, Venera Arnaoudova, Bonita Sharif, and Jonathan I. Maletic:
    Gazel: Supporting Source Code Edits in Eye-Tracking Studies.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Hao He, Yulin Xu, Xiao Cheng, Guangtai Liang, and Minghui Zhou:
    MigrationAdvisor: Recommending Library Migrations from Large-Scale Open-Source Data.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Valerio Terragni, Gunel Jahangirova, Paolo Tonella, and Mauro Pezzè:
    GAssert: A Fully Automated Tool to Improve Assertion Oracles.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, and Xiao Liu:
    GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    13 cites at Semantic Scholar
    -52% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, and Diptikalyan Saha:
    Testing Framework for Black-Box AI Models.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Gabriel Bessler, Josh Cordova, Shaheen Cullen-Baratloo, Sofiane Dissem, Emily Lu, Sofia Devin, Ibrahim Abughararh, and Lucas Bang:
    Metrinome: Path Complexity Predicts Symbolic Execution Path Explosion.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, and Divya Gopinath:
    NEUROSPF: A Tool for the Symbolic Analysis of Neural Networks.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jinkun Lin, Shaowei Cai, Bing He, Yingjie Fu, Chuan Luo, and Qingwei Lin:
    FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Amit Seal Ami, Kaushal Kafle, Adwait Nadkarni, Denys Poshyvanyk, and Kevin Moran:
    µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Thibault Allançon, Antoine Pietri, and Stefano Zacchiroli:
    The Software Heritage Filesystem (SwhFS): Integrating Source Code Archival with Development.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Stan Swanborn and Ivano Malavolta:
    Robot Runner: A Tool for Automatically Executing Experiments on Robotics Software.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Francisco Durán, Ajay Krishna, Michel Le Pallec, Radu Mateescu, and Gwen Salaün:
    R-MOZART: A Reconfiguration Tool for WebThings Applications.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Christoph Mayr-Dorn, Stefan Bichler, Felix Keplinger, and Alexander Egyed:
    Guiding Engineers with the Passive Process Engine Environment.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Pengyu Nie, Karl Palmskog, Junyi Jessy Li, and Milos Gligoric:
    Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning.
    International Conference on Software Engineering (ICSE): Tool Demonstrations, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Timo Kehrer, Thomas Thüm, Alexander Schultheiß, and Paul Maximilian Bittner:
    Bridging the Gap Between Clone-and-Own and Software Product Lines.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Annibale Panichella and Cynthia C. S. Liem:
    What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Viet Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José A. Galindo, and Thi Ngoc Trang Tran:
    DIRECTDEBUG: Automated Testing and Debugging of Feature Models.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Léa Brunschwig, Rubén Campos-López, Esther Guerra, and Juan de Lara:
    Towards Domain-Specific Modelling Environments Based on Augmented Reality.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Michael Vierhauser, Hussein Marah, Antonio Garmendia, Jane Cleland-Huang, and Manuel Wimmer:
    Towards a Model-Integrated Runtime Monitoring Infrastructure for Cyber-Physical Systems.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Franz Zieris and Lutz Prechelt:
    Two Elements of Pair Programming Skill.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Sara Gholami, Hamzeh Khazaei, and Cor-Paul Bezemer:
    Should You Upgrade Official Docker Hub Images in Production Environments?
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Christoph Mayr-Dorn, Roland Kretschmer, Alexander Egyed, Ruben Heradio, and David Fernández-Amorós:
    Inconsistency-Tolerating Guidance for Software Engineering Processes.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Atif Mashkoor, Michael Leuschel, and Alexander Egyed:
    Validation Obligations: A Novel Approach to Check Compliance Between Requirements and Their Formal Specification.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Omar Elazhary, Margaret-Anne D. Storey, Neil A. Ernst, and Elise Paradis:
    ADEPT: A Socio-Technical Theory of Continuous Integration.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jared Rand and Andriy V. Miranskyy:
    On Automatic Parsing of Log Records.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Ali Ghanbari and Andrian Marcus:
    Toward Speeding up Mutation Analysis by Memoizing Expensive Methods.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Hlib Babii, Julian Aron Prenner, Laurin Stricker, Anjan Karmakar, Andrea Janes, and Romain Robbes:
    Mining Software Repositories with a Collaborative Heuristic Repository.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Zheng Li:
    Stop Building Castles on a Swamp! The Crisis of Reproducing Automatic Search in Evidence-Based Software Engineering.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Glaucia Melo dos Santos, Paulo Alencar, and Donald D. Cowan:
    A Cognitive and Machine Learning-Based Software Development Paradigm Supported by Context.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mukelabai Mukelabai, Thorsten Berger, and Paulo Borba:
    Semi-Automated Test-Case Propagation in Fork Ecosystems.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ivan Pashchenko, Riccardo Scandariato, Antonino Sabetta, and Fabio Massacci:
    Secure Software Development in the Era of Fluid Multi-Party Open Software and Services.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Clay Stevens, Jared Soundy, and Hau Chan:
    Exploring the Efficiency of Self-Organizing Software Teams with Game Theory.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Christoph Reichenbach:
    Software Ticks Need No Specifications.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Luca Guglielmo, Andrea Riboni, and Giovanni Denaro:
    Towards Evidence-Based Testability Measurements.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Gordon Fraser, Ute Heuer, Nina Körber, Florian Obermüller, and Ewald Wasmeier:
    LitterBox: A Linter for Scratch Programs.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    48 cites at Semantic Scholar
    77% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Chun Yong Chong, Patanamon Thongtanunam, and Chakkrit Tantithamthavorn:
    Assessing the Students' Understanding and Their Mistakes in Code Review Checklists: An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Kai Presler-Marshall, Sarah Heckman, and Kathryn T. Stolee:
    SQLRepair: Identifying and Repairing Mistakes in Student-Authored SQL Queries.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    24 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rodrigo Henrique Barbosa Monteiro, Maurício Ronny de Almeida Souza, Sandro Ronaldo Bezerra Oliveira, Carlos dos Santos Portela, and Cesar Elias de Cristo Lobato:
    The Diversity of Gamification Evaluation in the Software Engineering Education and Industry: Trends, Comparisons and Gaps.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    23 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Austin Z. Henley, Julian Ball, Benjamin Klein, Aiden Rutter, and Dylan Lee:
    An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, and Laurie A. Williams:
    Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Maria Paasivaara:
    Teaching the Scrum Master Role Using Professional Agile Coaches and Communities of Practice.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Isaque Alves and Carla Rocha:
    Qualifying Software Engineers Undergraduates in DevOps - Challenges of Introducing Technical and Non-Technical Concepts in a Project-Oriented Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anna van der Meulen and Efthimia Aivaloglou:
    Who Does What? Work Division and Allocation Strategies of Computer Science Student Teams.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rafal Wlodarski, Jean-Rémy Falleri, and Corinne Parvéry:
    Assessment of a Hybrid Software Development Process for Student Projects: A Controlled Experiment.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Albina Zavgorodniaia, Raj Shrestha, Juho Leinonen, Arto Hellas, and John Edwards:
    Morning or Evening? An Examination of Circadian Rhythms of CS1 Students.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Lex Bijlsma, Niels Doorn, Harrie Passier, Harold Pootjes, and Sylvia Stuurman:
    How Do Students Test Software Units?
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    13 cites at Semantic Scholar
    -52% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Eric Knauss:
    Constructive Master's Thesis Work in Industry: Guidelines for Applying Design Science Research.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Leonardo Humberto Silva, Renata Xavier Castro, and Marice Costa Guimaraes:
    Supporting Real Demands in Software Engineering with a Four Steps Project-Based Learning Approach.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Maurício Aniche, Frank Mulder, and Felienne Hermans:
    Grading 600+ Students: A Case Study on Peer and Self Grading.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Benjamin S. Clegg, Maria-Cruz Villa-Uriol, Phil McMinn, and Gordon Fraser:
    Gradeer: An Open-Source Modular Hybrid Grader.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    César García, Alejandro Guerrero, Joshua Zeitsoff, Srujay Korlakunta, Pablo Fernandez, Armando Fox, and Antonio Ruiz-Cortés:
    Bluejay: A Cross-Tooling Audit Framework For Agile Software Teams.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shin Hwei Tan, Chunfeng Hu, Ziqiang Li, Xiaowen Zhang, and Ying Zhou:
    GitHub-OSS Fixit: Fixing Bugs at Scale in a Software Engineering Course.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Maider Azanza, Arantza Irastorza, Raul Medeiros, and Oscar Díaz:
    Onboarding in Software Product Lines: Concept Maps as Welcome Guides.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Laura Tubino, Jean-Guy Schneider, Andrew Cain, Dhananjay R. Thiruvady, and Chathu Ranaweera:
    Reforming Assessment: Challenges Beyond Design.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, and Zheshun Wu:
    MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    209 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, and Zhong Su:
    D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    188 cites at Semantic Scholar
    593% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, and Niels van Berkel:
    The Daily Life of Software Engineers During the COVID-19 Pandemic.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    72 cites at Semantic Scholar
    165% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Jenna L. Butler and Sonia Jaffe:
    Challenges and Gratitude: A Diary Study of Software Engineers Working From Home During Covid-19 Pandemic.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    70 cites at Semantic Scholar
    158% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Danielle Gonzalez, Thomas Zimmermann, Patrice Godefroid, and Max Schaefer:
    Anomalicious: Automated Detection of Anomalous and Potentially Malicious Commits on GitHub.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    70 cites at Semantic Scholar
    158% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer, Silvia Sapora, and Justin Spahr-Summers:
    Testing Web Enabled Simulation at Scale Using Metamorphic Testing.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    66 cites at Semantic Scholar
    143% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Paige Rodeghero, Thomas Zimmermann, Brian Houck, and Denae Ford:
    Please Turn Your Cameras on: Remote Onboarding of Software Developers During a Pandemic.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    65 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, and Yu Jiang:
    Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    62 cites at Semantic Scholar
    128% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Moritz Beller, Chu-Pan Wong, Johannes Bader, Andrew Scott, Mateusz Machalica, Satish Chandra, and Erik Meijer:
    What It Would Take to Use Mutation Testing in Industry - A Study at Facebook.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    61 cites at Semantic Scholar
    125% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, and Andriy V. Miranskyy:
    Anomaly Detection in a Large-Scale Cloud Platform.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    54 cites at Semantic Scholar
    99% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Eman Abdullah AlOmar, Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni, and Marouane Kessentini:
    Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at Xerox.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    53 cites at Semantic Scholar
    95% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Yujin Huang, Han Hu, and Chunyang Chen:
    Robustness of on-Device Models: Adversarial Attack to Deep Learning Models on Android Apps.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    46 cites at Semantic Scholar
    69% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, and Yu Jiang:
    IntelliGen: Automatic Driver Synthesis for Fuzz Testing.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jason Lefever, Yuanfang Cai, Humberto Cervantes, Rick Kazman, and Hongzhou Fang:
    On the Lack of Consensus Among Technical Debt Detection Tools.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    39 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Patrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, and Evgeny Groshev:
    ConfigFix: Interactive Configuration Conflict Resolution for the Linux Kernel.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    38 cites at Semantic Scholar
    40% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Gareth Ari Aye, Seohyun Kim, and Hongyu Li:
    Learning Autocompletion from Real-World Datasets.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Lucy Ellen Lwakatare, Ellinor Rånge, Ivica Crnkovic, and Jan Bosch:
    On the Experiences of Adopting Automated Data Validation in an Industrial Machine Learning Project.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Vijayaraghavan Murali, Lee Gross, Rebecca Qian, and Satish Chandra:
    Industry-Scale IR-Based Bug Localization: A Perspective from Facebook.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    🏆 Distinguished Paper
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Samuel Idowu, Daniel Strüber, and Thorsten Berger:
    Asset Management in Machine Learning: A Survey.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    35 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Pei Liu, Li Li, Yichun Yan, Mattia Fazzini, and John C. Grundy:
    Identifying and Characterizing Silently-Evolved Methods in the Android API.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, and Mojtaba Shahin:
    A First Look at Human Values-Violation in App Reviews.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    59 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Wouter Groeneveld, Laurens Luyten, Joost Vennekens, and Kris Aerts:
    Exploring the Role of Creativity in Software Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    38 cites at Semantic Scholar
    40% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Gemma Catolino, Fabio Palomba, Damian A. Tamburri, and Alexander Serebrenik:
    Understanding Community Smells Variability: A Statistical Approach.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    30 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Akhila Sri Manasa Venigalla and Sridhar Chimalakonda:
    Understanding Emotions of Developer Community Towards Software Documentation.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Omar Haggag, Sherif Haggag, John C. Grundy, and Mohamed Almorsy Abdelrazek:
    COVID-19 vs Social Media Apps: Does Privacy Really Matter?
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ricarda Anna-Lena Fischer, Rita Walczuch, and Emitza Guzman:
    Does Culture Matter? Impact of Individualism and Uncertainty Avoidance on App Reviews.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Gabriele Scalia, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, and Barbara Pernici:
    Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Alistair G. Sutcliffe, Pete Sawyer, Wei Liu, and Nelly Bencomo:
    Investigating the Potential Impact of Values on Requirements and Software Engineering.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    13 cites at Semantic Scholar
    -52% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Jonas Fritzsch, Marvin Wyrich, Justus Bogner, and Stefan Wagner:
    Résumé-Driven Development: A Definition and Empirical Characterization.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Lidia López, Alessandra Bagnato, Antonin Ahberve, and Xavier Franch:
    QFL: Data-Driven Feedback Loop to Manage Quality in Agile Development.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Fahad S. Altuwaijri and Maria Angela Ferrario:
    Awareness and Perception of Agile in Saudi Software Industry.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Vulnerability Detection with Fine-Grained Interpretations.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    361 cites at Semantic Scholar
    1230% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, and Lu Zhang:
    A Syntax-Guided Edit Decoder for Neural Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    310 cites at Semantic Scholar
    1042% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Kewen Peng and Tim Menzies:
    Documenting Evidence of a Reuse of '"Why Should I Trust You?": Explaining the Predictions of Any Classifier'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    304 cites at Semantic Scholar
    1020% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Joymallya Chakraborty, Suvodeep Majumder, and Tim Menzies:
    Bias in Machine Learning Software: Why? How? What to Do?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    266 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jonathan Metzman, László Szekeres, Laurent Simon, Read Sprabery, and Abhishek Arya:
    FuzzBench: An Open Fuzzer Benchmarking Platform and Service.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    241 cites at Semantic Scholar
    788% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, and Lingming Zhang:
    Boosting Coverage-Based Fault Localization via Graph-Based Representation Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    195 cites at Semantic Scholar
    618% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Sumon Biswas and Hridesh Rajan:
    Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    159 cites at Semantic Scholar
    486% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, and Xiang Chen:
    A Comprehensive Study of Deep Learning Compiler Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    159 cites at Semantic Scholar
    486% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Devjeet Roy, Sarah Fakhoury, and Venera Arnaoudova:
    Reassessing Automatic Evaluation Metrics for Code Summarization Tasks.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    139 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Georgios Nikitopoulos, Konstantina Dritsa, Panos Louridas, and Dimitris Mitropoulos:
    CrossVul: A Cross-Language Vulnerability Dataset with Commit Data.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    131 cites at Semantic Scholar
    383% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Max Hort, Jie M. Zhang, Federica Sarro, and Mark Harman:
    Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    104 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, and Debasish Banerjee:
    Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    Identifying Bad Software Changes via Multimodal Anomaly Detection for Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    98 cites at Semantic Scholar
    261% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Ting Su, Jue Wang, and Zhendong Su:
    Benchmarking Automated GUI Testing for Android Against Real-World Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    95 cites at Semantic Scholar
    250% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, and Xuanzhe Liu:
    An Empirical Study on Challenges of Application Development in Serverless Computing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    91 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, and Suman Jana:
    StateFormer: Fine-Grained Type Recovery from Binaries Using Generative State Modeling.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    85 cites at Semantic Scholar
    213% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Jibesh Patra and Michael Pradel:
    Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    80 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Song Li, Mingqing Kang, Jianwei Hou, and Yinzhi Cao:
    Detecting Node.js Prototype Pollution Vulnerabilities via Object Lookup Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    74 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Duc-Ly Vu, Fabio Massacci, Ivan Pashchenko, Henrik Plate, and Antonino Sabetta:
    LastPyMile: Identifying the Discrepancy Between Sources and Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    74 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    Vulnerability Detection with Fine-Grained Interpretations.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    361 cites at Semantic Scholar
    1230% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, and Lu Zhang:
    A Syntax-Guided Edit Decoder for Neural Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    310 cites at Semantic Scholar
    1042% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Joymallya Chakraborty, Suvodeep Majumder, and Tim Menzies:
    Bias in Machine Learning Software: Why? How? What to Do?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    266 cites at Semantic Scholar
    880% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, and Lingming Zhang:
    Boosting Coverage-Based Fault Localization via Graph-Based Representation Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    195 cites at Semantic Scholar
    618% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Sumon Biswas and Hridesh Rajan:
    Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    159 cites at Semantic Scholar
    486% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, and Xiang Chen:
    A Comprehensive Study of Deep Learning Compiler Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    159 cites at Semantic Scholar
    486% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Devjeet Roy, Sarah Fakhoury, and Venera Arnaoudova:
    Reassessing Automatic Evaluation Metrics for Code Summarization Tasks.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    139 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Max Hort, Jie M. Zhang, Federica Sarro, and Mark Harman:
    Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    104 cites at Semantic Scholar
    283% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    Identifying Bad Software Changes via Multimodal Anomaly Detection for Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    98 cites at Semantic Scholar
    261% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ting Su, Jue Wang, and Zhendong Su:
    Benchmarking Automated GUI Testing for Android Against Real-World Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    95 cites at Semantic Scholar
    250% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, and Xuanzhe Liu:
    An Empirical Study on Challenges of Application Development in Serverless Computing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    91 cites at Semantic Scholar
    235% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, and Suman Jana:
    StateFormer: Fine-Grained Type Recovery from Binaries Using Generative State Modeling.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    85 cites at Semantic Scholar
    213% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jibesh Patra and Michael Pradel:
    Semantic Bug Seeding: A Learning-Based Approach for Creating Realistic Bugs.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    80 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Song Li, Mingqing Kang, Jianwei Hou, and Yinzhi Cao:
    Detecting Node.js Prototype Pollution Vulnerabilities via Object Lookup Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    74 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Duc-Ly Vu, Fabio Massacci, Ivan Pashchenko, Henrik Plate, and Antonino Sabetta:
    LastPyMile: Identifying the Discrepancy Between Sources and Packages.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    74 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Nadezhda Chirkova and Sergey Troshin:
    Empirical Study of Transformers for Source Code.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, and Mohammad Amin Alipour:
    Understanding Neural Code Intelligence Through Program Simplification.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, and Yulei Sui:
    An Exploratory Study of Autopilot Software Bugs in Unmanned Aerial Vehicles.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    68 cites at Semantic Scholar
    151% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Guancheng Wang, Ruobing Shen, Junjie Chen, Yingfei Xiong, and Lu Zhang:
    Probabilistic Delta Debugging.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    🏆 Distinguished Paper
    67 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Chu-Pan Wong, Priscila Santiesteban, Christian Kästner, and Claire Le Goues:
    VarFix: Balancing Edit Expressiveness and Search Effectiveness in Automated Program Repair.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2021
    60 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Georgios Nikitopoulos, Konstantina Dritsa, Panos Louridas, and Dimitris Mitropoulos:
    CrossVul: A Cross-Language Vulnerability Dataset with Commit Data.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    131 cites at Semantic Scholar
    383% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhou Yang, Muhammad Hilmi Asyrofi, and David Lo:
    BiasRV: Uncovering Biased Sentiment Predictions at Runtime.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    30 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nuri Almarimi, Ali Ouni, Moataz Chouchen, and Mohamed Wiem Mkaouer:
    csDetector: An Open Source Tool for Community Smells Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Muhammad Hilmi Asyrofi, Zhou Yang, and David Lo:
    CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Khaled Ahmed, Mieszko Lis, and Julia Rubin:
    Slicer4J: A Dynamic Slicer for Java.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, and Yuan-Fang Li:
    Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yuhui Su, Zhe Liu, Chunyang Chen, Junjie Wang, and Qing Wang:
    OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zehao Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, and Shaowei Wang:
    Would You Like a Quick Peek? Providing Logging Support to Monitor Data Processing in Big Data Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Stanly Samuel, Deepak D'Souza, and Raghavan Komondoor:
    GenSys: A Scalable Fixed-Point Engine for Maximal Controller Synthesis over Infinite State Spaces.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xiuheng Wu, Chenguang Zhu, and Yi Li:
    DIFFBASE: A Differential Factbase for Effective Software Evolution Management.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Konstantin Kuznetsov, Chen Fu, Song Gao, David N. Jansen, Lijun Zhang, and Andreas Zeller:
    Frontmatter: Mining Android User Interfaces at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Robert Heumüller, Sebastian Nielebock, and Frank Ortmeier:
    Exploit Those Code Reviews! Bigger Data for Deeper Learning.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Islem Saidani, Ali Ouni, Moataz Chouchen, and Mohamed Wiem Mkaouer:
    BF-Detector: An Automated Tool for CI Build Failure Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Akhila Sri Manasa Venigalla and Sridhar Chimalakonda:
    StackEmo: Towards Enhancing User Experience by Augmenting Stack Overflow with Emojis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Yu Zhou, Haonan Jin, Xinying Yang, Taolue Chen, Krishna Narasimhan, and Harald C. Gall:
    BRAID: An API Recommender Supporting Implicit User Feedback.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tanvir Ahmed Khan, Allison Sullivan, and Kaiyuan Wang:
    AlloyFL: A Fault Localization Framework for Alloy.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Hrishikesh Terdalkar and Arnab Bhattacharya:
    Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Guannan Wei, Shangyin Tan, Oliver Bracevac, and Tiark Rompf:
    LLSC: A Parallel Symbolic Execution Compiler for LLVM IR.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Erik Horlings and Sung-Shik Jongmans:
    Analysis of Specifications of Multiparty Sessions with Dcj-Lint.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Chehara Pathmabandu, John C. Grundy, Mohan Baruwal Chhetri, and Zubair A. Baig:
    ICME: An Informed Consent Management Engine for Conformance in Smart Building Environments.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Ideas, Visions, and Reflections (IVR) ⌄

  1. 1
    Kevin Jesse, Premkumar T. Devanbu, and Toufique Ahmed:
    Learning Type Annotation: Is Big Data Enough?
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    43 cites at Semantic Scholar
    58% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Vincent J. Hellendoorn, Jason Tsay, Manisha Mukherjee, and Martin Hirzel:
    Towards Automating Code Review at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    39 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Tsong Yueh Chen and T. H. Tse:
    New Visions on Metamorphic Testing After a Quarter of a Century of Inception.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    23 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Gabin An and Shin Yoo:
    Reducing the Search Space of Bug Inducing Commits Using Failure Coverage.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Justyna Petke, David Clark, and William B. Langdon:
    Software Robustness: A Survey, a Theory, and Prospects.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gustavo Ansaldi Oliva and Ahmed E. Hassan:
    The Gas Triangle and Its Challenges to the Development of Blockchain-Powered Applications.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Adrian Hoff, Michael Nieke, and Christoph Seidl:
    Towards Immersive Software Archaeology: Regaining Legacy Systems' Design Knowledge via Interactive Exploration in Virtual Reality.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yu-Seung Ma, Shin Yoo, and Taeho Kim:
    Selecting Test Inputs for DNNs Using Differential Testing with Subspecialized Model Instances.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Noura El Moussa, Davide Molinelli, Mauro Pezzè, and Martin Tappler:
    Health of Smart Ecosystems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Janusan Baskararajah, Lei Zhang, and Andriy V. Miranskyy:
    Term Interrelations and Trends in Software Engineering.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Jonathan Metzman, László Szekeres, Laurent Simon, Read Sprabery, and Abhishek Arya:
    FuzzBench: An Open Fuzzer Benchmarking Platform and Service.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    241 cites at Semantic Scholar
    788% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, and Debasish Banerjee:
    Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    100 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, and Dongmei Zhang:
    Onion: Identifying Incident-Indicating Logs for Cloud Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    69 cites at Semantic Scholar
    154% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, and Maite Arratibel:
    Generating Metamorphic Relations for Cyber-Physical Systems with Genetic Programming: An Industrial Case Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    57 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yaroslav Golubev, Zarina Kurbatova, Eman Abdullah AlOmar, Timofey Bryksin, and Mohamed Wiem Mkaouer:
    One Thousand and One Stories: A Large-Scale Survey of Software Refactoring.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    51 cites at Semantic Scholar
    88% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Johannes Lampel, Sascha Just, Sven Apel, and Andreas Zeller:
    When Life Gives You Oranges: Detecting and Diagnosing Intermittent Job Failures at Mozilla.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    40 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Roman Haas, Daniel Elsner, Elmar Jürgens, Alexander Pretschner, and Sven Apel:
    How Can Manual Testing Processes Be Optimized? Developer Survey, Optimization Guidelines, and Case Studies.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Meng Ren, Fuchen Ma, Zijing Yin, Ying Fu, Huizhong Li, Wanli Chang, and Yu Jiang:
    Making Smart Contract Development More Secure and Easier.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    36 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Martin P. Robillard:
    Turnover-Induced Knowledge Loss in Practice.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    30 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yixuan Ma, Shuang Liu, Jiajun Jiang, Guanhong Chen, and Keqiu Li:
    A Comprehensive Study on Learning-Based PE Malware Family Classification Methods.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Charles Weir, Sammy Migues, Mike Ware, and Laurie A. Williams:
    Infiltrating Security into Development: Exploring the World's Largest Software Security Study.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jiaming Ye, Ke Chen, Xiaofei Xie, Lei Ma, Ruochen Huang, Yingfeng Chen, Yinxing Xue, and Jianjun Zhao:
    An Empirical Study of GUI Widget Detection for Industrial Mobile Games.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Parastoo Mohagheghi and Casper Lassenius:
    Organizational Implications of Agile Adoption: A Case Study from the Public Sector.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    19 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Michael Emmi, Liana Hadarean, Ranjit Jhala, Lee Pike, Nicolás Rosner, Martin Schäf, Aritra Sengupta, and Willem Visser:
    RAPID: Checking API Usage for the Cloud in the Cloud.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Maaz Hafeez Ur Rehman and Peter C. Rigby:
    Quantifying No-Fault-Found Test Failures to Prioritize Inspection of Flaky Tests at Ericsson.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    David van der Leij, Jasper Binda, Robbert van Dalen, Pieter Vallen, Yaping Luo, and Maurício Aniche:
    Data-Driven Extract Method Recommendations: A Study at ING.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, and Dongmei Zhang:
    Intelligent Container Reallocation at Microsoft 365.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Vivek Joshi, Preethu Rose Anish, and Smita Ghaisas:
    Domain Adaptation for an Automated Classification of Deontic Modalities in Software Engineering Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Sonu Mehta, Farima Farmahinifarahani, Ranjita Bhagwan, Suraj Guptha, Sina Jafari, Rahul Kumar, Vaibhav Saini, and Anirudh Santhiar:
    Data-Driven Test Selection at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI

Replications and Negative Results (RENE) ⌄

  1. 1
    Kewen Peng and Tim Menzies:
    Documenting Evidence of a Reuse of '"Why Should I Trust You?": Explaining the Predictions of Any Classifier'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    304 cites at Semantic Scholar
    1020% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Xueqi Yang and Tim Menzies:
    Documenting Evidence of a Reproduction of 'Is There a "Golden" Feature Set for Static Warning Identification? - an Experimental Evaluation'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jordan Winkler, Abhimanyu Agarwal, Caleb Tung, Dario Rios Ugalde, Young Jin Jung, and James C. Davis:
    A Replication of 'DeepBugs: A Learning Approach to Name-Based Bug Detection'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Andre Lustosa and Tim Menzies:
    Documenting Evidence of a Reuse of 'a Systematic Literature Review of Techniques and Metrics to Reduce the Cost of Mutation Testing'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Andre Lustosa and Tim Menzies:
    Documenting Evidence of a Reuse of 'RefactoringMiner 2.0'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Kewen Peng and Tim Menzies:
    Documenting Evidence of a Reuse of 'What Is a Feature? A Qualitative Study of Features in Industrial Software Product Lines'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Xueqi Yang and Tim Menzies:
    Documenting Evidence of a Replication of 'Populating a Release History Database from Version Control and Bug Tracking Systems'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Xueqi Yang and Tim Menzies:
    Documenting Evidence of a Replication of 'Analyze This! 145 Questions for Data Scientists in Software Engineering'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Rahul Yedida and Tim Menzies:
    Documenting Evidence of a Reuse of 'a Systematic Study of the Class Imbalance Problem in Convolutional Neural Networks'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Rahul Yedida and Tim Menzies:
    Documenting Evidence of a Reuse of 'on the Number of Linear Regions of Deep Neural Networks'.
    ACM International Conference on the Foundations of Software Engineering (FSE): Replications and Negative Results (RENE), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Van-Hoang Le and Hongyu Zhang:
    Log-Based Anomaly Detection Without Log Parsing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    335 cites at Semantic Scholar
    1134% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jaeseung Choi, Doyeon Kim, Soomin Kim, Gustavo Grieco, Alex Groce, and Sang Kil Cha:
    SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    223 cites at Semantic Scholar
    722% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, and Ahmed E. Hassan:
    Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    125 cites at Semantic Scholar
    361% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Anjan Karmakar and Romain Robbes:
    What Do Pre-Trained Code Models Know About Code?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    123 cites at Semantic Scholar
    353% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Hanzhang Wang, Zhengkai Wu, Huai Jiang, Yichao Huang, Jiamu Wang, Selçuk Köprü, and Tao Xie:
    Groot: An Event-Graph-Based Approach for Root Cause Analysis in Industrial Settings.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    108 cites at Semantic Scholar
    298% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Eñaut Mendiluze, Shaukat Ali, Paolo Arcaini, and Tao Yue:
    Muskit: A Mutation Analysis Tool for Quantum Software Testing.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    92 cites at Semantic Scholar
    239% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, and Zhi Jin:
    EditSum: A Retrieve-and-Edit Framework for Source Code Summarization.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jiyuan Wang, Qian Zhang, Guoqing Harry Xu, and Miryung Kim:
    QDiff: Differential Testing of Quantum Software Stacks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    84 cites at Semantic Scholar
    209% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chakkrit Kla Tantithamthavorn and Jirayus Jiarpakdee:
    Explainable AI for Software Engineering.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    83 cites at Semantic Scholar
    206% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Triet Huynh Minh Le, David Hin, Roland Croft, and Muhammad Ali Babar:
    DeepCVA: Automated Commit-Level Vulnerability Assessment with Deep Multi-Task Learning.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    78 cites at Semantic Scholar
    187% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Saikat Chakraborty and Baishakhi Ray:
    On Multi-Modal Learning of Editing Source Code.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    71 cites at Semantic Scholar
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Michael Fu, and Patanamon Thongtanunam:
    PyExplainer: Explaining the Predictions of Just-In-Time Defect Models.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    69 cites at Semantic Scholar
    154% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, and Shuhan Lan:
    Bugs4Q: A Benchmark of Real Bugs for Quantum Programs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    67 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jianfeng Jiang, Hui Xu, and Yangfan Zhou:
    RULF: Rust Library Fuzzing via API Dependency Graph Traversal.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    65 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Songqiang Chen, Shuo Jin, and Xiaoyuan Xie:
    Testing Your Question Answering Software via Asking Recursively.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    60 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alan Romano, Xinyue Liu, Yonghwi Kwon, and Weihang Wang:
    An Empirical Study of Bugs in WebAssembly Compilers.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    59 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, and Paolo Tonella:
    DeepMetis: Augmenting a Deep Learning Test Set to Increase Its Mutation Score.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    56 cites at Semantic Scholar
    106% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xinyi Wang, Paolo Arcaini, Tao Yue, and Shaukat Ali:
    Quito: A Coverage-Guided Test Generator for Quantum Programs.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    55 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yixing Luo, Xiao-Yi Zhang, Paolo Arcaini, Zhi Jin, Haiyan Zhao, Fuyuki Ishikawa, Rongxin Wu, and Tao Xie:
    Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    53 cites at Semantic Scholar
    95% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Tongjie Wang, Yaroslav Golubev, Oleg Smirnov, Jiawei Li, Timofey Bryksin, and Iftekhar Ahmed:
    PyNose: A Test Smell Detector For Python.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
    49 cites at Semantic Scholar
    81% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Nargiz Humbatova, Gunel Jahangirova, and Paolo Tonella:
    DeepCrime: Mutation Testing of Deep Learning Systems Based on Real Faults.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    156 cites at Semantic Scholar
    475% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Adrian Herrera, Hendra Gunadi, Shane Magrath, Michael Norrish, Mathias Payer, and Antony L. Hosking:
    Seed Selection for Successful Fuzzing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    138 cites at Semantic Scholar
    408% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhengran Zeng, Yuqun Zhang, Haotian Zhang, and Lingming Zhang:
    Deep Just-in-Time Defect Prediction: How Far Are We?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    114 cites at Semantic Scholar
    320% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Roberto Natella and Van-Thuan Pham:
    ProFuzzBench: A Benchmark for Stateful Protocol Fuzzing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    113 cites at Semantic Scholar
    316% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, and Paolo Tonella:
    DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems Through Illumination Search.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    103 cites at Semantic Scholar
    279% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Alberto Martin-Lopez, Sergio Segura, and Antonio Ruiz-Cortés:
    RESTest: Automated Black-Box Testing of RESTful Web APIs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    102 cites at Semantic Scholar
    276% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Meng Ren, Zijing Yin, Fuchen Ma, Zhenyang Xu, Yu Jiang, Chengnian Sun, Huizhong Li, and Yan Cai:
    Empirical Evaluation of Smart Contract Testing: What Is the Best Choice?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    99 cites at Semantic Scholar
    265% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Prashast Srivastava and Mathias Payer:
    Gramatron: Effective Grammar-Aware Fuzzing.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    93 cites at Semantic Scholar
    243% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, and Yu Jiang:
    AdvDoor: Adversarial Backdoor Attack of Deep Learning System.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    92 cites at Semantic Scholar
    239% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, and Yunxin Liu:
    ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    75 cites at Semantic Scholar
    176% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Suchita Mukherjee, Abigail Almanza, and Cindy Rubio-González:
    Fixing Dependency Errors for Python Build Reproducibility.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    68 cites at Semantic Scholar
    151% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Benjamin Barslev Nielsen, Martin Toldam Torp, and Anders Møller:
    Modular Call Graph Construction for Security Scanning of Node.js Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    64 cites at Semantic Scholar
    136% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, and Zhenyu Chen:
    Predoo: Precision Testing of Deep Learning Operators.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    60 cites at Semantic Scholar
    121% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Han Gao, Shaoyin Cheng, Yinxing Xue, and Weiming Zhang:
    A Lightweight Framework for Function Name Reassignment Based on Large-Scale Stripped Binaries.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    59 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Lingfeng Zhang, Yueling Zhang, and Min Zhang:
    Efficient White-Box Fairness Testing Through Gradient Search.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    58 cites at Semantic Scholar
    114% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Daniel Elsner, Florian Hauer, Alexander Pretschner, and Silke Reimer:
    Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    56 cites at Semantic Scholar
    106% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ridwan Shariffdeen, Xiang Gao, Gregory J. Duck, Shin Hwei Tan, Julia Lawall, and Abhik Roychoudhury:
    Automated Patch Backporting in Linux (Experience Paper).
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    47 cites at Semantic Scholar
    73% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yicheng Pan, Meng Ma, Xinrui Jiang, and Ping Wang:
    Faster, Deeper, Easier: Crowdsourcing Diagnosis of Microservice Kernel Failure from User Space.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    45 cites at Semantic Scholar
    66% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jingling Sun, Ting Su, Junxin Li, Zhen Dong, Geguang Pu, Tao Xie, and Zhendong Su:
    Understanding and Finding System Setting-Related Defects in Android Apps.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    45 cites at Semantic Scholar
    66% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Leonardo Mariani, Ali Mohebbi, Mauro Pezzè, and Valerio Terragni:
    Semantic Matching of GUI Events for Test Reuse: Are We There yet?
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Ozren Dabic, Emad Aghajani, and Gabriele Bavota:
    Sampling Projects in GitHub for MSR Studies.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    222 cites at Semantic Scholar
    718% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ehsan Mashhadi and Hadi Hemmati:
    Applying CodeBERT for Automated Program Repair of Java Simple Bugs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    161 cites at Semantic Scholar
    493% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chanathip Pornprasit and Chakkrit Tantithamthavorn:
    JITLine: A Simpler, Better, Faster, Finer-Grained Just-In-Time Defect Prediction.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    142 cites at Semantic Scholar
    423% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, and Miltiadis Allamanis:
    Fast and Memory-Efficient Neural Code Completion.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    110 cites at Semantic Scholar
    305% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Timothy Kinsman, Mairieli Santos Wessel, Marco Aurélio Gerosa, and Christoph Treude:
    How Do Software Developers Use GitHub Actions to Automate Their Workflows?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    95 cites at Semantic Scholar
    250% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, and Gabriele Bavota:
    An Empirical Study on the Usage of BERT Models for Code Completion.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    92 cites at Semantic Scholar
    239% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Md. Abdullah Al Alamin, Sanjay Malakar, Gias Uddin, Sadia Afroz, Tameem Bin Haider, and Anindya Iqbal:
    An Empirical Study of Developer Discussions on Low-Code Software Development Challenges.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    79 cites at Semantic Scholar
    191% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, and John C. Grundy:
    Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    79 cites at Semantic Scholar
    191% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Luigi Quaranta, Fabio Calefato, and Filippo Lanubile:
    KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    74 cites at Semantic Scholar
    173% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhen Yu Ding and Claire Le Goues:
    An Empirical Study of OSS-Fuzz Bugs.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    70 cites at Semantic Scholar
    158% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, and Mouafak Mkhallalati:
    On the Use of Dependabot Security Pull Requests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    59 cites at Semantic Scholar
    117% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Anderson G. Uchôa, Caio Barbosa, Daniel Coutinho, Willian Nalepa Oizumi, Wesley K. G. Assunção, Silvia Regina Vergilio, Juliana Alves Pereira, Anderson Oliveira, and Alessandro F. Garcia:
    Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    41 cites at Semantic Scholar
    51% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, and Yves Le Traon:
    A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    39 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Amir M. Mir, Evaldas Latoskinas, and Georgios Gousios:
    ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-Based Type Inference.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    38 cites at Semantic Scholar
    40% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Tyler Wendland, Jingyang Sun, Junayed Mahmud, S. M. Hasan Mansur, Steven Huang, Kevin Moran, Julia Rubin, and Mattia Fazzini:
    Andror2: A Dataset of Manually-Reproduced Bug Reports for Android Apps.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    36 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Tushar Sharma and Marouane Kessentini:
    QScored: A Large Dataset of Code Smells and Quality Metrics.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    31 cites at Semantic Scholar
    14% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Gianmarco Fucci, Nathan Cassee, Fiorella Zampetti, Nicole Novielli, Alexander Serebrenik, and Massimiliano Di Penta:
    Waiting Around or Job Half-Done? Sentiment in Self-Admitted Technical Debt.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Nafise Eskandani and Guido Salvaneschi:
    The Wonderless Dataset for Serverless Computing.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zadia Codabux, Melina C. Vidoni, and Fatemeh H. Fard:
    Technical Debt in the Peer-Review Documentation of R Packages: A rOpenSci Case Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    André C. Hora:
    Googling for Software Development: What Developers Search For and What They Find.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Xiangping Chen, Peiyong Liao, Yixin Zhang, Yuan Huang, and Zibin Zheng:
    Understanding Code Reuse in Smart Contracts.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    78 cites at Semantic Scholar
    187% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mahmoud Alfadel, Diego Elias Costa, and Emad Shihab:
    Empirical Analysis of Security Vulnerabilities in Python Packages.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    71 cites at OpenAlex
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, and Zhou Xu:
    Two-Stage Attention-Based Model for Code Search with Textual and Structural Features.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    55 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Amine Barrak, Ellis E. Eghan, and Bram Adams:
    On the Co-Evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Moataz Chouchen, Ali Ouni, Raula Gaikovina Kula, Dong Wang, Patanamon Thongtanunam, Mohamed Wiem Mkaouer, and Kenichi Matsumoto:
    Anti-Patterns in Modern Code Review: Symptoms and Prevalence.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, and Timofey Bryksin:
    Multi-Threshold Token-Based Code Clone Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    35 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Hao He, Yulin Xu, Yixiao Ma, Yifei Xu, Guangtai Liang, and Minghui Zhou:
    A Multi-Metric Ranking Approach for Library Migration Recommendations.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    34 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Tarek Mahmud, Meiru Che, and Guowei Yang:
    Android Compatibility Issue Detection Using API Differences.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yun Peng, Yu Zhang, and Mingzhe Hu:
    An Empirical Study for Common Language Features Used in Python Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sinan Wang, Ming Wen, Yepang Liu, Ying Wang, and Rongxin Wu:
    Understanding and Facilitating the Co-Evolution of Production and Test Code.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Wesley K. G. Assunção, Thelma Elita Colanzi, Luiz Carvalho, Juliana Alves Pereira, Alessandro F. Garcia, Maria Julia de Lima, and Carlos Lucena:
    A Multi-Criteria Strategy for Redesigning Legacy Features as Microservices: An Industrial Case Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Junaed Younus Khan, Md. Tawkat Islam Khondaker, Gias Uddin, and Anindya Iqbal:
    Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Béla Vancsics, Ferenc Horváth, Attila Szatmári, and Árpád Beszédes:
    Call Frequency-Based Fault Localization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Noah Mauthe, Ulf Kargén, and Nahid Shahmehri:
    A Large-Scale Empirical Study of Android App Decompilation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Kaylea Champion and Benjamin Mako Hill:
    Underproduction: An Approach for Measuring Risk in Open Source Software.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, and Qing Liao:
    MulCode: A Multi-Task Learning Approach for Source Code Understanding.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Md. Shamsujjoha, John Grundy, Li Li, Hourieh Khalajzadeh, and Qinghua Lu:
    Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Sakib Haque, Aakash Bansal, Lingfei Wu, and Collin McMillan:
    Action Word Prediction for Neural Source Code Summarization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, and Tegawendé F. Bissyandé:
    On the Impact of Flaky Tests in Automated Program Repair.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yang Xiao, Zhengzi Xu, Weiwei Zhang, Chendong Yu, Longquan Liu, Wei Zou, Zimu Yuan, Yang Liu, Aihua Piao, and Wei Huo:
    VIVA: Binary Level Vulnerability Identification via Partial Signature.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Xiangping Chen, Peiyong Liao, Yixin Zhang, Yuan Huang, and Zibin Zheng:
    Understanding Code Reuse in Smart Contracts.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    78 cites at Semantic Scholar
    187% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mahmoud Alfadel, Diego Elias Costa, and Emad Shihab:
    Empirical Analysis of Security Vulnerabilities in Python Packages.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    71 cites at OpenAlex
    162% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, and Zhou Xu:
    Two-Stage Attention-Based Model for Code Search with Textual and Structural Features.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    55 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Amine Barrak, Ellis E. Eghan, and Bram Adams:
    On the Co-Evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Hao He, Yulin Xu, Yixiao Ma, Yifei Xu, Guangtai Liang, and Minghui Zhou:
    A Multi-Metric Ranking Approach for Library Migration Recommendations.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    34 cites at Semantic Scholar
    25% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tarek Mahmud, Meiru Che, and Guowei Yang:
    Android Compatibility Issue Detection Using API Differences.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yun Peng, Yu Zhang, and Mingzhe Hu:
    An Empirical Study for Common Language Features Used in Python Projects.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Sinan Wang, Ming Wen, Yepang Liu, Ying Wang, and Rongxin Wu:
    Understanding and Facilitating the Co-Evolution of Production and Test Code.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Wesley K. G. Assunção, Thelma Elita Colanzi, Luiz Carvalho, Juliana Alves Pereira, Alessandro F. Garcia, Maria Julia de Lima, and Carlos Lucena:
    A Multi-Criteria Strategy for Redesigning Legacy Features as Microservices: An Industrial Case Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Junaed Younus Khan, Md. Tawkat Islam Khondaker, Gias Uddin, and Anindya Iqbal:
    Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Béla Vancsics, Ferenc Horváth, Attila Szatmári, and Árpád Beszédes:
    Call Frequency-Based Fault Localization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Noah Mauthe, Ulf Kargén, and Nahid Shahmehri:
    A Large-Scale Empirical Study of Android App Decompilation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Kaylea Champion and Benjamin Mako Hill:
    Underproduction: An Approach for Measuring Risk in Open Source Software.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, and Qing Liao:
    MulCode: A Multi-Task Learning Approach for Source Code Understanding.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sakib Haque, Aakash Bansal, Lingfei Wu, and Collin McMillan:
    Action Word Prediction for Neural Source Code Summarization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, and Tegawendé F. Bissyandé:
    On the Impact of Flaky Tests in Automated Program Repair.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yang Xiao, Zhengzi Xu, Weiwei Zhang, Chendong Yu, Longquan Liu, Wei Zou, Zimu Yuan, Yang Liu, Aihua Piao, and Wei Huo:
    VIVA: Binary Level Vulnerability Identification via Partial Signature.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Chunyang Ling, Yanzhen Zou, and Bing Xie:
    Graph Neural Network Based Collaborative Filtering for API Usage Recommendation.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Juan Manuel Florez, Oscar Chaparro, Christoph Treude, and Andrian Marcus:
    Combining Query Reduction and Expansion for Text-Retrieval-Based Bug Localization.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Aakash Bansal, Zachary Eberhart, Lingfei Wu, and Collin McMillan:
    A Neural Question Answering System for Basic Questions About Subroutines.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Simone Romano, Maria Caulo, Matteo Buompastore, Leonardo Guerra, Anas Mounsif, Michele Telesca, Maria Teresa Baldassarre, and Giuseppe Scanniello:
    G-Repo: A Tool to Support MSR Studies on GitHub.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Martin Schröer and Rainer Koschke:
    Recording, Visualising and Understanding Developer Programming Behaviour.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Carmen Coviello, Simone Romano, Giuseppe Scanniello, and Giuliano Antoniol:
    Gasser.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Marcel Steinbeck and Rainer Koschke:
    TinySpline: A Small, yet Powerful Library for Interpolating, Transforming, and Querying NURBS, B-Splines, and Bézier Curves.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Mathias Birrer, Pooja Rani, Sebastiano Panichella, and Oscar Nierstrasz:
    Makar: A Framework for Multi-Source Studies Based on Unstructured Data.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Daniel Althviz, Kelly Garcés, and Jaime Chavarriaga:
    ClarchMap: API-Oriented Reconstruction of Architecture for Cloud-Based Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Tool Demonstrations, 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Early Research Achievements (ERA) ⌄

  1. 1
    Moataz Chouchen, Ali Ouni, Raula Gaikovina Kula, Dong Wang, Patanamon Thongtanunam, Mohamed Wiem Mkaouer, and Kenichi Matsumoto:
    Anti-Patterns in Modern Code Review: Symptoms and Prevalence.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    44 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, and Timofey Bryksin:
    Multi-Threshold Token-Based Code Clone Detection.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    35 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Md. Shamsujjoha, John Grundy, Li Li, Hourieh Khalajzadeh, and Qinghua Lu:
    Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Hailemelekot Demtse Tessema and Surafel Lemma Abebe:
    Enhancing Just-in-Time Defect Prediction Using Change Request-Based Metrics.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Aquilas Tchanjou Njomou, Alexandra Johanne Bifona Africa, Bram Adams, and Marios Fokaefs:
    MSR4ML: Reconstructing Artifact Traceability in Machine Learning Repositories.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Hyuga Horiguchi, Itsuki Omori, and Masao Ohira:
    Onboarding to Open Source Projects with Good First Issues: A Preliminary Analysis.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Moeen Ali Naqvi, Merve Astekin, Sehrish Malik, and Leon Moonen:
    Adaptive Immunity for Software: Towards Autonomous Self-Healing Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Heidi Hokka, Felix Dobslaw, and Jonathan Bengtsson:
    Linking Developer Experience to Coding Style in Open-Source Repositories.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mahshid Naghashzadeh, Amir Haghshenas, Ashkan Sami, and David Lo:
    How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yuki Ueda, Takashi Ishio, and Kenichi Matsumoto:
    Automatically Customizing Static Analysis Tools to Coding Rules Really Followed by Developers.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Cezar Sas and Andrea Capiluppi:
    Using Structural and Semantic Information to Identify Software Components.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Sho Ogino, Yoshiki Higo, and Shinji Kusumoto:
    Evaluating Bug Prediction Under Realistic Settings.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Early Research Achievements (ERA), 2021
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Sávio Freire, Nicolli Rios, Boris Pérez, Darío Torres, Manoel G. Mendonça, Clemente Izurieta, Carolyn B. Seaman, and Rodrigo O. Spínola:
    How Do Technical Debt Payment Practices Relate to the Effects of the Presence of Debt Items in Software Projects?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Industry, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Pradeep Waychal, Luiz Fernando Capretz, Jingdong Jia, Daniel Varona, and Yadira Lizama:
    Practitioners' Testimonials About Software Testing.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Industry, 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Armando Sousa, Lincoln S. Rocha, Ricardo Britto, Zhixiong Gong, and Feng Lyu:
    Technical Debt in Large-Scale Distributed Projects: An Industrial Case Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Industry, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ruben Opdebeeck, Johan Fabry, Tim Molderez, Jonas De Bleser, and Coen De Roover:
    Mining for Graph-Based Library Usage Patterns in COBOL Systems.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Industry, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Hamid Khodabandehloo, Banani Roy, Manishankar Mondal, Chanchal K. Roy, and Kevin A. Schneider:
    A Testing Approach While Re-Engineering Legacy Systems: An Industrial Case Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Industry, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI

Replications and Negative Results (RENE) ⌄

  1. 1
    Liming Fu, Peng Liang, Xueying Li, and Chen Yang:
    Will Data Influence the Experiment Results?: A Replication Study of Automatic Identification of Decisions.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Replications and Negative Results (RENE), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jacob Krüger, Gül Çalikli, Thorsten Berger, and Thomas Leich:
    How Explicit Feature Traces Did Not Impact Developers' Memory.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER): Replications and Negative Results (RENE), 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, and Massimiliano Di Penta:
    CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    85 cites at Semantic Scholar
    213% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Xin Zhou, DongGyun Han, and David Lo:
    Assessing Generalizability of CodeBERT.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    81 cites at OpenAlex
    198% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Aizaz Sharif, Dusica Marijan, and Marius Liaaen:
    DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    65 cites at OpenAlex
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Jian Gu, Zimin Chen, and Martin Monperrus:
    Multimodal Representation for Neural Code Search.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    53 cites at Semantic Scholar
    95% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Grace A. Lewis, Ipek Ozkaya, and Xiwei Xu:
    Software Architecture Challenges for ML Systems.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    53 cites at OpenAlex
    95% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, and Wenqiang Zhang:
    On the Evaluation of Commit Message Generation Models: An Experimental Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    45 cites at OpenAlex
    66% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Tobias Hey, Fei Chen, Sebastian Weigelt, and Walter F. Tichy:
    Improving Traceability Link Recovery Using Fine-Grained Requirements-to-Code Relations.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    41 cites at Semantic Scholar
    51% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mohamed Raed El aoun, Heng Li, Foutse Khomh, and Moses Openja:
    Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    37 cites at OpenAlex
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Haruna Isotani, Hironori Washizaki, Yoshiaki Fukazawa, Tsutomu Nomoto, Saori Ouji, and Shinobu Saito:
    Duplicate Bug Report Detection by Using Sentence Embedding and Fine-Tuning.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    22 cites at OpenAlex
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Md Omar Faruk Rokon, Pei Yan, Risul Islam, and Michalis Faloutsos:
    Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    22 cites at OpenAlex
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Wolfram Amme, Thomas S. Heinze, and André Schäfer:
    You Look so Different: Finding Structural Clones and Subclones in Java Source Code.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Philipp Gnoyke, Sandro Schulze, and Jacob Krüger:
    An Evolutionary Analysis of Software-Architecture Smells.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Alexander LeClair, Aakash Bansal, and Collin McMillan:
    Ensemble Models for Neural Source Code Summarization of Subroutines.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    20 cites at OpenAlex
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Davide Corradini, Amedeo Zampieri, Michele Pasqua, and Mariano Ceccato:
    Restats: A Test Coverage Tool for RESTful APIs.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    18 cites at OpenAlex
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jingjing Liang, Ruyi Ji, Jiajun Jiang, Shurui Zhou, Yiling Lou, Yingfei Xiong, and Gang Huang:
    Interactive Patch Filtering as Debugging Aid.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    18 cites at OpenAlex
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, and Gabriele Bavota:
    An Empirical Study on Code Comment Completion.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    18 cites at OpenAlex
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Teng Zhou, Kui Liu, Li Li, Zhe Liu, Jacques Klein, and Tegawendé F. Bissyandé:
    SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    18 cites at OpenAlex
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Li Jia, Hao Zhong, and Linpeng Huang:
    The Unit Test Quality of Deep Learning Libraries: A Mutation Analysis.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    16 cites at OpenAlex
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Pooya Rostami Mazrae, Maliheh Izadi, and Abbas Heydarnoori:
    Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-Textual Data.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    16 cites at OpenAlex
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Andrea Di Sorbo, Corrado Aaron Visaggio, Massimiliano Di Penta, Gerardo Canfora, and Sebastiano Panichella:
    An NLP-Based Tool for Software Artifacts Analysis.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
    15 cites at OpenAlex
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, and Xiaoguang Mao:
    Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-Training Techniques.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    140 cites at Semantic Scholar
    416% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Tong Jia, Yifan Wu, Chuanjia Hou, and Ying Li:
    LogFlash: Real-Time Streaming Anomaly Detection and Diagnosis from System Logs for Large-Scale Software Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    61 cites at Semantic Scholar
    125% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Weining Zheng, Yuan Jiang, and Xiaohong Su:
    Vu1SPG: Vulnerability Detection Based on Slice Property Graph Representation Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    57 cites at Semantic Scholar
    110% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, and Stephen W. Keckler:
    Optimizing Selective Protection for CNN Resilience.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    55 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    45 cites at Semantic Scholar
    66% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Alberto Martin-Lopez, Andrea Arcuri, Sergio Segura, and Antonio Ruiz-Cortés:
    Black-Box and White-Box Test Case Generation for RESTful APIs: Enemies or Allies?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    39 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Pietro Liguori, Erfan Al-Hossami, Vittorio Orbinato, Roberto Natella, Samira Shaikh, Domenico Cotroneo, and Bojan Cukic:
    EVIL: Exploiting Software via Natural Language.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Eduard Pinconschi, Rui Abreu, and Pedro Adão:
    A Comparative Study of Automatic Program Repair Techniques for Security Vulnerabilities.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    28 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Cheng Zeng, Chun Ying Zhou, Shengkai Lv, Peng He, and Jie Huang:
    GCN2defect : Graph Convolutional Networks for SMOTETomek-Based Software Defect Prediction.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Song Wang and Nachiappan Nagappan:
    Characterizing and Understanding Software Developer Networks in Security Development.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Xiaoting Du, Zheng Zheng, Lei Ma, and Jianjun Zhao:
    An Empirical Study on Common Bugs in Deep Learning Compilers.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su, Yongqian Sun, Yuzhi Zhang, Dan Pei, and Yizhe Wang:
    Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    21 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Taejoon Byun, Sanjai Rayadurgam, and Mats P. E. Heimdahl:
    Black-Box Testing of Deep Neural Networks.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Haytham Hijazi, José Cruz, João Castelhano, Ricardo Couceiro, Miguel Castelo-Branco, Paulo de Carvalho, and Henrique Madeira:
    iReview: An Intelligent Code Review Evaluation Tool Using Biofeedback.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xingwu Guo, Wenjie Wan, Zhaodi Zhang, Min Zhang, Fu Song, and Xuejun Wen:
    Eager Falsification for Accelerating Robustness Verification of Deep Neural Networks.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, and Fuyuki Ishikawa:
    What to Blame? On the Granularity of Fault Localization for Deep Neural Networks.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Amirfarhad Nilizadeh, Marlon Calvo, Gary T. Leavens, and Xuan-Bach Dinh Le:
    More Reliable Test Suites for Dynamic APR by Using Counterexamples.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xiaoyu Sun, Xiao Chen, Kui Liu, Sheng Wen, Li Li, and John Grundy:
    Characterizing Sensor Leaks in Android Apps.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang:
    How Long Will It Take to Mitigate This Incident for Online Service Systems?
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Quanyi Zou, Lu Lu, Zhanyu Yang, and Hao Xu:
    Multi-Source Cross Project Defect Prediction with Joint Wasserstein Distance and Ensemble Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Qinghua Xu, Shaukat Ali, and Tao Yue:
    Digital Twin-Based Anomaly Detection in Cyber-Physical Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    98 cites at Semantic Scholar
    261% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shaukat Ali, Paolo Arcaini, Xinyi Wang, and Tao Yue:
    Assessing the Effectiveness of Input and Output Coverage Criteria for Testing Quantum Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Martin Gruber, Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser:
    An Empirical Study of Flaky Tests in Python.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    80 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Afsoon Afzal, Deborah S. Katz, Claire Le Goues, and Christopher Steven Timperley:
    Simulation for Robotics Test Automation: Developer Perspectives.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Maryam Vahdat Pour, Zhuo Li, Lei Ma, and Hadi Hemmati:
    A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gunel Jahangirova, Andrea Stocco, and Paolo Tonella:
    Quality Metrics and Oracles for Autonomous Vehicles Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    61 cites at OpenAlex
    125% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Amirfarhad Nilizadeh, Gary T. Leavens, Xuan-Bach Dinh Le, Corina S. Pasareanu, and David R. Cok:
    Exploring True Test Overfitting in Dynamic Automated Program Repair Using Formal Methods.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    40 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jiyuan Wang, Fuchen Ma, and Yu Jiang:
    Poster: Fuzz Testing of Quantum Program.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    38 cites at Semantic Scholar
    40% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Markus Borg, Raja Ben Abdessalem, Shiva Nejati, François-Xavier Jegeden, and Donghwan Shin:
    Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    36 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Michael Weiss and Paolo Tonella:
    Fail-Safe Execution of Deep Learning Based Systems Through Uncertainty Monitoring.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Bernhard K. Aichernig, Edi Muskardin, and Andrea Pferscher:
    Learning-Based Fuzzing of IoT Message Brokers.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Xia Li, Jiajun Jiang, Samuel Benton, Yingfei Xiong, and Lingming Zhang:
    A Large-Scale Study on API Misuses in the Wild.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Paolo Arcaini, Xiao-Yi Zhang, and Fuyuki Ishikawa:
    Targeting Patterns of Driving Characteristics in Testing Autonomous Driving Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Michael Weiss and Paolo Tonella:
    Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    24 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Miroslav Bures, Bestoun S. Ahmed, Vaclav Rechtberger, Matej Klima, Michal Trnka, Miroslav Jaros, Xavier J. A. Bellekens, Dani Almog, and Pavel Herout:
    PatrIoT: IoT Automated Interoperability and Integration Testing Framework.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Andrea Romdhana, Mariano Ceccato, Gabriel Claudiu Georgiu, Alessio Merlo, and Paolo Tonella:
    COSMO: Code Coverage Made Easier for Android.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    19 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Matteo Camilli, Angelo Gargantini, Patrizia Scandurra, and Catia Trubiani:
    Uncertainty-Aware Exploration in Model-Based Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dario Olianas, Maurizio Leotta, Filippo Ricca, Matteo Biagiola, and Paolo Tonella:
    STILE: A Tool for Parallel Execution of E2E Web Test Scripts.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Khaled Ahmed, Mieszko Lis, and Julia Rubin:
    Mandoline: Dynamic Slicing of Android Applications with Trace-Based Alias Analysis.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Hong Jin Kang, Sheng Qin Sim, and David Lo:
    IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Qinghua Xu, Shaukat Ali, and Tao Yue:
    Digital Twin-Based Anomaly Detection in Cyber-Physical Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    98 cites at Semantic Scholar
    261% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shaukat Ali, Paolo Arcaini, Xinyi Wang, and Tao Yue:
    Assessing the Effectiveness of Input and Output Coverage Criteria for Testing Quantum Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    90 cites at Semantic Scholar
    232% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Martin Gruber, Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser:
    An Empirical Study of Flaky Tests in Python.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    80 cites at Semantic Scholar
    195% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Afsoon Afzal, Deborah S. Katz, Claire Le Goues, and Christopher Steven Timperley:
    Simulation for Robotics Test Automation: Developer Perspectives.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Maryam Vahdat Pour, Zhuo Li, Lei Ma, and Hadi Hemmati:
    A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    73 cites at Semantic Scholar
    169% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gunel Jahangirova, Andrea Stocco, and Paolo Tonella:
    Quality Metrics and Oracles for Autonomous Vehicles Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    61 cites at OpenAlex
    125% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Amirfarhad Nilizadeh, Gary T. Leavens, Xuan-Bach Dinh Le, Corina S. Pasareanu, and David R. Cok:
    Exploring True Test Overfitting in Dynamic Automated Program Repair Using Formal Methods.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    40 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Michael Weiss and Paolo Tonella:
    Fail-Safe Execution of Deep Learning Based Systems Through Uncertainty Monitoring.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    33 cites at Semantic Scholar
    22% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Bernhard K. Aichernig, Edi Muskardin, and Andrea Pferscher:
    Learning-Based Fuzzing of IoT Message Brokers.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xia Li, Jiajun Jiang, Samuel Benton, Yingfei Xiong, and Lingming Zhang:
    A Large-Scale Study on API Misuses in the Wild.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Matteo Camilli, Angelo Gargantini, Patrizia Scandurra, and Catia Trubiani:
    Uncertainty-Aware Exploration in Model-Based Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    15 cites at Semantic Scholar
    -45% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Khaled Ahmed, Mieszko Lis, and Julia Rubin:
    Mandoline: Dynamic Slicing of Android Applications with Trace-Based Alias Analysis.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    12 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Hong Jin Kang, Sheng Qin Sim, and David Lo:
    IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Diogo Campos, André Restivo, Hugo Sereno Ferreira, and Afonso Ramos:
    Automatic Program Repair as Semantic Suggestions: An Empirical Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    9 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Marcos Lordello Chaim, Kesina Baral, Jeff Offutt, Mario Concilio, and Roberto P. A. Araujo:
    Efficiently Finding Data Flow Subsumptions.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    João Paulo Diniz, Chu-Pan Wong, Christian Kästner, and Eduardo Figueiredo:
    Dissecting Strongly Subsuming Second-Order Mutants.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Leopoldo Teixeira, Breno Miranda, Henrique Rebêlo, and Marcelo d'Amorim:
    Demystifying the Challenges of Formally Specifying API Properties for Runtime Verification.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Robert White, Jens Krinke, Earl T. Barr, Federica Sarro, and Chaiyong Ragkhitwetsagul:
    Artefact Relation Graphs for Unit Test Reuse Recommendation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jouke Stoel, Tijs van der Storm, and Jurgen J. Vinju:
    Modeling with Mocking.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    David Trabish, Shachar Itzhaky, and Noam Rinetzky:
    Address-Aware Query Caching for Symbolic Execution.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Jiyuan Wang, Fuchen Ma, and Yu Jiang:
    Poster: Fuzz Testing of Quantum Program.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    38 cites at Semantic Scholar
    40% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Michael Weiss and Paolo Tonella:
    Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    24 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Miroslav Bures, Bestoun S. Ahmed, Vaclav Rechtberger, Matej Klima, Michal Trnka, Miroslav Jaros, Xavier J. A. Bellekens, Dani Almog, and Pavel Herout:
    PatrIoT: IoT Automated Interoperability and Integration Testing Framework.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Andrea Romdhana, Mariano Ceccato, Gabriel Claudiu Georgiu, Alessio Merlo, and Paolo Tonella:
    COSMO: Code Coverage Made Easier for Android.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    19 cites at Semantic Scholar
    -30% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Dario Olianas, Maurizio Leotta, Filippo Ricca, Matteo Biagiola, and Paolo Tonella:
    STILE: A Tool for Parallel Execution of E2E Web Test Scripts.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ciprian Paduraru, Miruna Paduraru, and Alin Stefanescu:
    RiverFuzzRL - an Open-Source Tool to Experiment with Reinforcement Learning for Fuzzing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    11 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Paolo Arcaini, Andrea Bombarda, Silvia Bonfanti, and Angelo Gargantini:
    ROBY: A Tool for Robustness Analysis of Neural Network Classifiers.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    10 cites at Semantic Scholar
    -63% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Henry Cox:
    Differential Coverage: : Automating Coverage Analysis.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhenyue Long, Guoquan Wu, Yifei Zhang, Wei Chen, and Jun Wei:
    Poster: Repair Cross Browser Layout Issues by Combining Learning and Search-Based Technique.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Florian Joost Slob and Sung-Shik Jongmans:
    Prut4j: Protocol Unit Testing Fo(u)r Java.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Pawel Maslanka and Bartosz Zielinski:
    Poster: Testing Complex Event Patterns.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Markus Borg, Raja Ben Abdessalem, Shiva Nejati, François-Xavier Jegeden, and Donghwan Shin:
    Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    36 cites at Semantic Scholar
    33% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Paolo Arcaini, Xiao-Yi Zhang, and Fuyuki Ishikawa:
    Targeting Patterns of Driving Characteristics in Testing Autonomous Driving Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jeongju Sohn, Gabin An, Jingun Hong, Dongwon Hwang, and Shin Yoo:
    Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    8 cites at Semantic Scholar
    -71% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Daniil Stepanov, Marat Akhin, and Mikhail A. Belyaev:
    Type-Centric Kotlin Compiler Fuzzing: Preserving Test Program Correctness by Preserving Types.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tung Dao, Max Wang, and Na Meng:
    Exploring the Triggering Modes of Spectrum-Based Fault Localization: An Industrial Case.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jonas Fritzsch, Tobias Schmid, and Stefan Wagner:
    Experiences from Large-Scale Model Checking: Verifying a Vehicle Control System with NuSMV.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Raphael Eidenbenz, Carsten Franke, Thanikesavan Sivanthi, and Sandro Schönborn:
    Boosting Exploratory Testing of Industrial Automation Systems with AI.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Viktor Malík and Tomás Vojnar:
    Automatically Checking Semantic Equivalence Between Versions of Large-Scale C Projects.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    4 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Mingzhe Wang, Jie Liang, Chijin Zhou, Yuanliang Chen, Zhiyong Wu, and Yu Jiang:
    Industrial Oriented Evaluation of Fuzzing Techniques.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Emil Alégroth, Elin Petersén, and John Tinnerholm:
    A Failed Attempt at Creating Guidelines for Visual GUI Testing: An Industrial Case Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Mac Malone, Yicheng Wang, Kevin Z. Snow, and Fabian Monrose:
    Applicable Micropatches and Where to Find Them: Finding and Applying New Security Hot Fixes to Old Software.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Daniel Flemström, Henrik Jonsson, Eduard Paul Enoiu, and Wasif Afzal:
    Industrial Scale Passive Testing with T-EARS.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, and Rongxin Wu:
    Improving Code Summarization with Block-Wise Abstract Syntax Tree Splitting.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    81 cites at Semantic Scholar
    198% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, and Miao Zhang:
    A Multi-Modal Transformer-Based Code Summarization Approach for Smart Contracts.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    81 cites at Semantic Scholar
    198% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Filippo Contro, Marco Crosara, Mariano Ceccato, and Mila Dalla Preda:
    EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    65 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Aakash Bansal, Sakib Haque, and Collin McMillan:
    Project-Level Encoding for Neural Source Code Summarization of Subroutines.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    63 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, and Tegawendé F. Bissyandé:
    Automated Comment Update: How Far Are We?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    40 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ramin Shahbazi, Rishab Sharma, and Fatemeh H. Fard:
    API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Rui Xie, Wei Ye, Jinan Sun, and Shikun Zhang:
    Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Mohamad Yazdaninia, David Lo, and Ashkan Sami:
    Characterization and Prediction of Questions Without Accepted Answers on Stack Overflow.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Emanuele Iannone, Dario Di Nucci, Antonino Sabetta, and Andrea De Lucia:
    Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xiaofeng Han, Amjed Tahir, Peng Liang, Steve Counsell, and Yajing Luo:
    Understanding Code Smell Detection via Code Review: A Study of the OpenStack Community.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Chris Langhout and Maurício Aniche:
    Atoms of Confusion in Java.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Teemu Lehtinen, André L. Santos, and Juha Sorva:
    Let's Ask Students About Their Programs, Automatically.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Software Engineering Education and Training (SEET), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Bruno Henrique Pachulski Camara, Marco Aurélio Graciotto Silva, André Takeshi Endo, and Silvia Regina Vergilio:
    What Is the Vocabulary of Flaky Tests? An Extended Replication.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Ruiyin Li, Peng Liang, Mohamed Soliman, and Paris Avgeriou:
    Understanding Architecture Erosion: The Practitioners' Perceptive.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Naser Al Madi, Cole S. Peterson, Bonita Sharif, and Jonathan I. Maletic:
    From Novice to Expert: Analysis of Token Level Effects in a Longitudinal Eye Tracking Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Zijie Huang, Zhiqing Shao, Guisheng Fan, Jianhua Gao, Ziyi Zhou, Kang Yang, and Xingguang Yang:
    Predicting Community Smells' Occurrence on Individual Developers by Sentiments.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Dror G. Feitelson:
    Considerations and Pitfalls in Controlled Experiments on Code Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Fan Ge and Li Kuang:
    Keywords Guided Method Name Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Alejandro Mazuera-Rozo, Anamaria Mojica-Hanke, Mario Linares-Vásquez, and Gabriele Bavota:
    Shallow or Deep? An Empirical Study on Detecting Vulnerabilities Using Deep Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Quentin Perez, Pierre-Antoine Jean, Christelle Urtado, and Sylvain Vauttier:
    Bug or Not Bug? That Is the Question.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, and Rongxin Wu:
    Improving Code Summarization with Block-Wise Abstract Syntax Tree Splitting.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    81 cites at Semantic Scholar
    198% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, and Miao Zhang:
    A Multi-Modal Transformer-Based Code Summarization Approach for Smart Contracts.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    81 cites at Semantic Scholar
    198% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Filippo Contro, Marco Crosara, Mariano Ceccato, and Mila Dalla Preda:
    EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    65 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Aakash Bansal, Sakib Haque, and Collin McMillan:
    Project-Level Encoding for Neural Source Code Summarization of Subroutines.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    63 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, and Tegawendé F. Bissyandé:
    Automated Comment Update: How Far Are We?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    40 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Rui Xie, Wei Ye, Jinan Sun, and Shikun Zhang:
    Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    32 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Mohamad Yazdaninia, David Lo, and Ashkan Sami:
    Characterization and Prediction of Questions Without Accepted Answers on Stack Overflow.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    29 cites at Semantic Scholar
    7% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Xiaofeng Han, Amjed Tahir, Peng Liang, Steve Counsell, and Yajing Luo:
    Understanding Code Smell Detection via Code Review: A Study of the OpenStack Community.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chris Langhout and Maurício Aniche:
    Atoms of Confusion in Java.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Ruiyin Li, Peng Liang, Mohamed Soliman, and Paris Avgeriou:
    Understanding Architecture Erosion: The Practitioners' Perceptive.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Naser Al Madi, Cole S. Peterson, Bonita Sharif, and Jonathan I. Maletic:
    From Novice to Expert: Analysis of Token Level Effects in a Longitudinal Eye Tracking Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    22 cites at Semantic Scholar
    -19% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zijie Huang, Zhiqing Shao, Guisheng Fan, Jianhua Gao, Ziyi Zhou, Kang Yang, and Xingguang Yang:
    Predicting Community Smells' Occurrence on Individual Developers by Sentiments.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    20 cites at Semantic Scholar
    -26% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Dror G. Feitelson:
    Considerations and Pitfalls in Controlled Experiments on Code Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Fan Ge and Li Kuang:
    Keywords Guided Method Name Generation.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Alejandro Mazuera-Rozo, Anamaria Mojica-Hanke, Mario Linares-Vásquez, and Gabriele Bavota:
    Shallow or Deep? An Empirical Study on Detecting Vulnerabilities Using Deep Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    18 cites at Semantic Scholar
    -34% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Quentin Perez, Pierre-Antoine Jean, Christelle Urtado, and Sylvain Vauttier:
    Bug or Not Bug? That Is the Question.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Anthony Peruma, Emily Hu, Jiajun Chen, Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, and Christian D. Newman:
    Using Grammar Patterns to Interpret Test Method Name Evolution.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    17 cites at Semantic Scholar
    -37% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Shouliang Yang, Junming Cao, Hushuang Zeng, Beijun Shen, and Hao Zhong:
    Locating Faulty Methods with a Mixed RNN and Attention Model.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    16 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, and Chen Yang:
    Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rodrigo Brito and Marco Túlio Valente:
    RAID: Tool Support for Refactoring-Aware Code Reviews.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2021
    13 cites at Semantic Scholar
    -52% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Ali Shokri and Mehdi Mirakhorli:
    ArCode: A Tool for Supporting Comprehension and Implementation of Architectural Concerns.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Aaron Beigelbeck, Maurício Aniche, and Jürgen Cito:
    Interactive Static Software Performance Analysis in the IDE.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ryo Kuramoto, Motoshi Saeki, and Shinpei Hayashi:
    RefactorHub: A Commit Annotator for Refactoring.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Early Research Achievements (ERA) ⌄

  1. 1
    Emanuele Iannone, Dario Di Nucci, Antonino Sabetta, and Andrea De Lucia:
    Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    27 cites at Semantic Scholar
    -1% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jacinto Molina, Xue Qin, and Xiaoyin Wang:
    Automatic Extraction of Code Dependency in Virtual Reality Software.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Lin Xu and Hao Zhong:
    Detecting Inconsistent Thrown Exceptions.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rodney Rodriguez and Xiaoyin Wang:
    Understanding Execution Environment of File-Manipulation Scripts by Extracting Pre-Conditions.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    3 cites at Semantic Scholar
    -89% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jalves Nicácio and Fábio Petrillo:
    Towards Improving Architectural Diagram Consistency Using System Descriptors.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    2 cites at Semantic Scholar
    -93% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Karin Hodnigg, Christian Macho, Martin Pinzger, and Dietmar Jannach:
    Comprehending Spreadsheets: Which Strategies Do Users Apply?
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2021
    1 cites at Semantic Scholar
    -96% above average of year
    Visited: Sep-2026
    Paper: DOI

Replications and Negative Results (RENE) ⌄

  1. 1
    Ramin Shahbazi, Rishab Sharma, and Fatemeh H. Fard:
    API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    37 cites at Semantic Scholar
    36% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Bruno Henrique Pachulski Camara, Marco Aurélio Graciotto Silva, André Takeshi Endo, and Silvia Regina Vergilio:
    What Is the Vocabulary of Flaky Tests? An Extended Replication.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    25 cites at Semantic Scholar
    -8% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Md. Shamsujjoha, John C. Grundy, Li Li, Hourieh Khalajzadeh, and Qinghua Lu:
    Checking App Behavior Against App Descriptions: What If There Are No App Descriptions?
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    14 cites at Semantic Scholar
    -48% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Louis-Philippe Querel and Peter C. Rigby:
    Warning-Introducing Commits vs Bug-Introducing Commits: A Tool, Statistical Models, and a Preliminary User Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Replications and Negative Results (RENE), 2021
    5 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Teemu Lehtinen, André L. Santos, and Juha Sorva:
    Let's Ask Students About Their Programs, Automatically.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Software Engineering Education and Training (SEET), 2021
    26 cites at Semantic Scholar
    -4% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Eliane Stampfer Wiese, Anna N. Rafferty, and Garrett Moseke:
    Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Software Engineering Education and Training (SEET), 2021
    7 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Philipp Kather and Jan Vahrenhold:
    Is Algorithm Comprehension Different from Program Comprehension?
    IEEE/ACM International Conference on Program Comprehension (ICPC): Software Engineering Education and Training (SEET), 2021
    6 cites at Semantic Scholar
    -78% above average of year
    Visited: Sep-2026
    Paper: DOI

Top conference papers from 2020 normalized by age ⌄

  1. 1
    Jiahao Fan, Yi Li, Shaohua Wang, and Tien N. Nguyen:
    A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    685 cites at Semantic Scholar
    1663% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, and Neel Sundaresan:
    IntelliCode Compose: Code Generation Using Transformer.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    640 cites at Semantic Scholar
    1547% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Thomas Durieux, João F. Ferreira, Rui Abreu, and Pedro Cruz:
    Empirical Review of Automated Analysis Tools on 47, 587 Ethereum Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    511 cites at Semantic Scholar
    1215% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, and Lin Tan:
    CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensemble for Program Repair.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    446 cites at Semantic Scholar
    1048% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, and Quang Tran Minh:
    sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    396 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Van-Thuan Pham, Marcel Böhme, and Abhik Roychoudhury:
    AFLNET: A Greybox Fuzzer for Network Protocols.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    389 cites at Semantic Scholar
    901% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, and Paolo Tonella:
    Taxonomy of Real Faults in Deep Learning Systems.
    International Conference on Software Engineering (ICSE), 2020
    367 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Wenhan Wang, Ge Li, Bo Ma, Xin Xia, and Zhi Jin:
    Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    341 cites at Semantic Scholar
    778% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Alexander LeClair, Sakib Haque, Lingfei Wu, and Collin McMillan:
    Improved Code Summarization via a Graph Neural Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    337 cites at Semantic Scholar
    767% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    DLFix: Context-Based Code Transformation Learning for Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2020
    322 cites at Semantic Scholar
    729% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, and Xudong Liu:
    Retrieval-Based Neural Source Code Summarization.
    International Conference on Software Engineering (ICSE), 2020
    299 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Gustavo Grieco, Will Song, Artur Cygan, Josselin Feist, and Alex Groce:
    Echidna: Effective, Usable, and Fast Fuzzing for Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    263 cites at Semantic Scholar
    577% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, and Zhenyu Chen:
    DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    262 cites at Semantic Scholar
    574% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Thong Hoang, Hong Jin Kang, David Lo, and Julia Lawall:
    CC2Vec: Distributed Representations of Code Changes.
    International Conference on Software Engineering (ICSE), 2020
    246 cites at Semantic Scholar
    533% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, and Andrea Janes:
    Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    239 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Fang Liu, Ge Li, Yunfei Zhao, and Zhi Jin:
    Multi-Task Learning Based Pre-Trained Language Model for Code Completion.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    237 cites at Semantic Scholar
    510% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Asem Ghaleb and Karthik Pattabiraman:
    How Effective Are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    236 cites at Semantic Scholar
    507% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, and Ravishankar K. Iyer:
    AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    234 cites at Semantic Scholar
    502% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Valentin Wüstholz and Maria Christakis:
    Harvey: A Greybox Fuzzer for Smart Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    231 cites at Semantic Scholar
    495% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    João F. Ferreira, Pedro Cruz, Thomas Durieux, and Rui Abreu:
    SmartBugs: A Framework to Analyze Solidity Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    231 cites at Semantic Scholar
    495% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSE ⌄

  1. 1
    Thomas Durieux, João F. Ferreira, Rui Abreu, and Pedro Cruz:
    Empirical Review of Automated Analysis Tools on 47, 587 Ethereum Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    511 cites at Semantic Scholar
    1215% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, and Quang Tran Minh:
    sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    396 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, and Paolo Tonella:
    Taxonomy of Real Faults in Deep Learning Systems.
    International Conference on Software Engineering (ICSE), 2020
    367 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    DLFix: Context-Based Code Transformation Learning for Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2020
    322 cites at Semantic Scholar
    729% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, and Xudong Liu:
    Retrieval-Based Neural Source Code Summarization.
    International Conference on Software Engineering (ICSE), 2020
    299 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Thong Hoang, Hong Jin Kang, David Lo, and Julia Lawall:
    CC2Vec: Distributed Representations of Code Changes.
    International Conference on Software Engineering (ICSE), 2020
    246 cites at Semantic Scholar
    533% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, and Andrea Janes:
    Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    239 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, and Cong Liu:
    DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems.
    International Conference on Software Engineering (ICSE), 2020
    215 cites at Semantic Scholar
    453% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, and Denys Poshyvanyk:
    On Learning Meaningful Assert Statements for Unit Test Cases.
    International Conference on Software Engineering (ICSE), 2020
    209 cites at Semantic Scholar
    438% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Andrea Stocco, Michael Weiss, Marco Calzana, and Paolo Tonella:
    Misbehaviour Prediction for Autonomous Driving Systems.
    International Conference on Software Engineering (ICSE), 2020
    199 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Joshua Garcia, Yang Feng, Junjie Shen, Sumaya Almanee, Yuan Xia, and Qi Alfred Chen:
    A Comprehensive Study of Autonomous Vehicle Bugs.
    International Conference on Software Engineering (ICSE), 2020
    176 cites at Semantic Scholar
    353% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Abdulaziz Alshayban, Iftekhar Ahmed, and Sam Malek:
    Accessibility Issues in Android Apps: State of Affairs, Sentiments, and Ways Forward.
    International Conference on Software Engineering (ICSE), 2020
    169 cites at Semantic Scholar
    335% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Emad Aghajani, Csaba Nagy, Mario Linares-Vásquez, Laura Moreno, Gabriele Bavota, Michele Lanza, and David C. Shepherd:
    Software Documentation: The Practitioners' Perspective.
    International Conference on Software Engineering (ICSE), 2020
    167 cites at Semantic Scholar
    330% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, and Jinshui Wang:
    Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    165 cites at Semantic Scholar
    325% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiang Gao, Ripon K. Saha, Mukul R. Prasad, and Abhik Roychoudhury:
    Fuzz Testing Based Data Augmentation to Improve Robustness of Deep Neural Networks.
    International Conference on Software Engineering (ICSE), 2020
    165 cites at Semantic Scholar
    325% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, and Yves Le Traon:
    On the Efficiency of Test Suite Based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs.
    International Conference on Software Engineering (ICSE), 2020
    163 cites at Semantic Scholar
    320% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, and Ting Dai:
    White-Box Fairness Testing Through Adversarial Sampling.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    161 cites at Semantic Scholar
    314% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhen Dong, Marcel Böhme, Lucia Cojocaru, and Abhik Roychoudhury:
    Time-Travel Testing of Android Apps.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    145 cites at Semantic Scholar
    273% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Md Johirul Islam, Rangeet Pan, Giang Nguyen, and Hridesh Rajan:
    Repairing Deep Neural Networks: Fix Patterns and Challenges.
    International Conference on Software Engineering (ICSE), 2020
    144 cites at Semantic Scholar
    271% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, and Lu Zhang:
    Automatic Testing and Improvement of Machine Translation.
    International Conference on Software Engineering (ICSE), 2020
    142 cites at Semantic Scholar
    266% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Thomas Durieux, João F. Ferreira, Rui Abreu, and Pedro Cruz:
    Empirical Review of Automated Analysis Tools on 47, 587 Ethereum Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    511 cites at Semantic Scholar
    1215% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, and Quang Tran Minh:
    sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts.
    International Conference on Software Engineering (ICSE), 2020
    396 cites at Semantic Scholar
    919% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, and Paolo Tonella:
    Taxonomy of Real Faults in Deep Learning Systems.
    International Conference on Software Engineering (ICSE), 2020
    367 cites at Semantic Scholar
    845% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yi Li, Shaohua Wang, and Tien N. Nguyen:
    DLFix: Context-Based Code Transformation Learning for Automated Program Repair.
    International Conference on Software Engineering (ICSE), 2020
    322 cites at Semantic Scholar
    729% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, and Xudong Liu:
    Retrieval-Based Neural Source Code Summarization.
    International Conference on Software Engineering (ICSE), 2020
    299 cites at Semantic Scholar
    670% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Thong Hoang, Hong Jin Kang, David Lo, and Julia Lawall:
    CC2Vec: Distributed Representations of Code Changes.
    International Conference on Software Engineering (ICSE), 2020
    246 cites at Semantic Scholar
    533% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, and Andrea Janes:
    Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    239 cites at Semantic Scholar
    515% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, and Cong Liu:
    DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems.
    International Conference on Software Engineering (ICSE), 2020
    215 cites at Semantic Scholar
    453% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, and Denys Poshyvanyk:
    On Learning Meaningful Assert Statements for Unit Test Cases.
    International Conference on Software Engineering (ICSE), 2020
    209 cites at Semantic Scholar
    438% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Andrea Stocco, Michael Weiss, Marco Calzana, and Paolo Tonella:
    Misbehaviour Prediction for Autonomous Driving Systems.
    International Conference on Software Engineering (ICSE), 2020
    199 cites at Semantic Scholar
    412% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Joshua Garcia, Yang Feng, Junjie Shen, Sumaya Almanee, Yuan Xia, and Qi Alfred Chen:
    A Comprehensive Study of Autonomous Vehicle Bugs.
    International Conference on Software Engineering (ICSE), 2020
    176 cites at Semantic Scholar
    353% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Abdulaziz Alshayban, Iftekhar Ahmed, and Sam Malek:
    Accessibility Issues in Android Apps: State of Affairs, Sentiments, and Ways Forward.
    International Conference on Software Engineering (ICSE), 2020
    169 cites at Semantic Scholar
    335% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Emad Aghajani, Csaba Nagy, Mario Linares-Vásquez, Laura Moreno, Gabriele Bavota, Michele Lanza, and David C. Shepherd:
    Software Documentation: The Practitioners' Perspective.
    International Conference on Software Engineering (ICSE), 2020
    167 cites at Semantic Scholar
    330% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, and Jinshui Wang:
    Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    165 cites at Semantic Scholar
    325% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiang Gao, Ripon K. Saha, Mukul R. Prasad, and Abhik Roychoudhury:
    Fuzz Testing Based Data Augmentation to Improve Robustness of Deep Neural Networks.
    International Conference on Software Engineering (ICSE), 2020
    165 cites at Semantic Scholar
    325% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, and Yves Le Traon:
    On the Efficiency of Test Suite Based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs.
    International Conference on Software Engineering (ICSE), 2020
    163 cites at Semantic Scholar
    320% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, and Ting Dai:
    White-Box Fairness Testing Through Adversarial Sampling.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    161 cites at Semantic Scholar
    314% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhen Dong, Marcel Böhme, Lucia Cojocaru, and Abhik Roychoudhury:
    Time-Travel Testing of Android Apps.
    International Conference on Software Engineering (ICSE), 2020
    🏆 Distinguished Paper
    145 cites at Semantic Scholar
    273% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Md Johirul Islam, Rangeet Pan, Giang Nguyen, and Hridesh Rajan:
    Repairing Deep Neural Networks: Fix Patterns and Challenges.
    International Conference on Software Engineering (ICSE), 2020
    144 cites at Semantic Scholar
    271% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, and Lu Zhang:
    Automatic Testing and Improvement of Machine Translation.
    International Conference on Software Engineering (ICSE), 2020
    142 cites at Semantic Scholar
    266% above average of year
    Visited: Sep-2026
    Paper: DOI

Companion ⌄

  1. 1
    Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, and Jens Grabowski:
    The SmartSHARK Ecosystem for Software Repository Mining.
    International Conference on Software Engineering (ICSE): Companion, 2020
    30 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, and Denys Poshyvanyk:
    DeepMutation: A Neural Mutation Tool.
    International Conference on Software Engineering (ICSE): Companion, 2020
    28 cites at Semantic Scholar
    -28% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Sergio García, Patrizio Pelliccione, Claudio Menghi, Thorsten Berger, and Tomás Bures:
    PROMISE: High-Level Mission Specification for Multiple Robots.
    International Conference on Software Engineering (ICSE): Companion, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Chunyang Chen:
    SimilarAPI: Mining Analogical APIs for Library Migration.
    International Conference on Software Engineering (ICSE): Companion, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Andreas Hinderks, Francisco José Domínguez Mayo, Jörg Thomaschewski, and María José Escalona:
    An SLR-Tool: Search Process in Practice: A Tool to Conduct and Manage Systematic Literature Review (SLR).
    International Conference on Software Engineering (ICSE): Companion, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Zhiqiang Yang, Han Liu, Yue Li, Huixuan Zheng, Lei Wang, and Bangdao Chen:
    Seraph: Enabling Cross-Platform Security Analysis for EVM and WASM Smart Contracts.
    International Conference on Software Engineering (ICSE): Companion, 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yongqiang Tian, Zhihua Zeng, Ming Wen, Yepang Liu, Tzu-yang Kuo, and Shing-Chi Cheung:
    EvalDNN: A Toolbox for Evaluating Deep Neural Network Models.
    International Conference on Software Engineering (ICSE): Companion, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Alan Romano and Weihang Wang:
    WasmView: Visual Testing for Webassembly Applications.
    International Conference on Software Engineering (ICSE): Companion, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhenbang Chen, Hengbiao Yu, Xianjin Fu, and Ji Wang:
    MPI-SV: A Symbolic Verifier for MPI Programs.
    International Conference on Software Engineering (ICSE): Companion, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jian Liu, Xusheng Xiao, Lihua Xu, Liang Dou, and Andy Podgurski:
    DroidMutator: An Effective Mutation Analysis Tool for Android Applications.
    International Conference on Software Engineering (ICSE): Companion, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Devjeet Roy, Sarah Fakhoury, and Venera Arnaoudova:
    VITALSE: Visualizing Eye Tracking and Biometric Data.
    International Conference on Software Engineering (ICSE): Companion, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Farnaz Behrang and Alessandro Orso:
    AppTestMigrator: A Tool for Automated Test Migration for Android Apps.
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Robert Chatley and Thomas Allerton:
    Nimbus: Improving the Developer Experience for Serverless Applications.
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Shafiul Azam Chowdhury, Sohil Lal Shrestha, Taylor T. Johnson, and Christoph Csallner:
    SLEMI: Finding Simulink Compiler Bugs Through Equivalence Modulo Input (EMI).
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Phu X. Mai, Arda Goknil, Fabrizio Pastore, and Lionel C. Briand:
    SMRL: A Metamorphic Security Testing Tool for Web Systems.
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Christoph Mayr-Dorn, Michael Vierhauser, Felix Keplinger, Stefan Bichler, and Alexander Egyed:
    TimeTracer: A Tool for Back in Time Traceability Replaying.
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Hiroaki Yoshida, Rohan Bavishi, Keisuke Hotta, Yusuke Nemoto, Mukul R. Prasad, and Shinji Kikuchi:
    Phoenix: A Tool for Automated Data-Driven Synthesis of Repairs for Static Analysis Violations.
    International Conference on Software Engineering (ICSE): Companion, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Muhammad Ali Gulzar, Madanlal Musuvathi, and Miryung Kim:
    BigTest: A Symbolic Execution Based Systematic Test Generation Tool for Apache Spark.
    International Conference on Software Engineering (ICSE): Companion, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Kush Jain, Karl Palmskog, Ahmet Çelik, Emilio Jesús Gallego Arias, and Milos Gligoric:
    mCoq: Mutation Analysis for Coq Verification Projects.
    International Conference on Software Engineering (ICSE): Companion, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Salah Ghamizi, Maxime Cordy, Mike Papadakis, and Yves Le Traon:
    FeatureNET: Diversity-Driven Generation of Deep Learning Models.
    International Conference on Software Engineering (ICSE): Companion, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, and Bogdan Vasilescu:
    Stress and Burnout in Open Source: Toward Finding, Understanding, and Mitigating Unhealthy Interactions.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    107 cites at Semantic Scholar
    175% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jiawei Wang, Li Li, and Andreas Zeller:
    Better Code, Better Sharing: On the Need of Analyzing Jupyter Notebooks.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    96 cites at Semantic Scholar
    147% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Andriy V. Miranskyy, Lei Zhang, and Javad Doliskani:
    Is Your Quantum Program Bug-Free?
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    54 cites at Semantic Scholar
    39% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Casey Casalnuovo, Earl T. Barr, Santanu Kumar Dash, Prem Devanbu, and Emily Morgan:
    A Theory of Dual Channel Constraints.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    45 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Taejoon Byun and Sanjai Rayadurgam:
    Manifold for Machine Learning Assurance.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    34 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Valerio Terragni, Pasquale Salza, and Filomena Ferrucci:
    A Container-Based Infrastructure for Fuzzy-Driven Root Causing of Flaky Tests.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Maleknaz Nayebi:
    Eye of the Mind: Image Processing for Social Coding.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Koen Yskout, Thomas Heyman, Dimitri Van Landuyt, Laurens Sion, Kim Wuyts, and Wouter Joosen:
    Threat Modeling: From Infancy to Maturity.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Kashumi Madampe, Rashina Hoda, and Paramvir Singh:
    Towards Understanding Emotional Response to Requirements Changes in Agile Teams.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Qi Xin, Myeongsoo Kim, Qirun Zhang, and Alessandro Orso:
    Program Debloating via Stochastic Optimization.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jude Arokiam and Jeremy S. Bradbury:
    Automatically Predicting Bug Severity Early in the Development Process.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    19 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Djamel Eddine Khelladi, Benoît Combemale, Mathieu Acher, and Olivier Barais:
    On the Power of Abstraction: A Model-Driven Co-Evolution Approach of Software Code.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    15 cites at Semantic Scholar
    -61% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Hamid Bagheri, Eunsuk Kang, and Niloofar Mansoor:
    Synthesis of Assurance Cases for Software Certification.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Sebastian Nielebock, Robert Heumüller, Jacob Krüger, and Frank Ortmeier:
    Cooperative API Misuse Detection Using Correction Rules.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sebastian Baltes and Christoph Treude:
    Code Duplication on Stack Overflow.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Ming Wen, Yepang Liu, and Shing-Chi Cheung:
    Boosting Automated Program Repair with Bug-Inducing Commits.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Antonio Bucchiarone, Antonio Cicchetti, and Annapaola Marconi:
    Towards Engineering Future Gameful Applications.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Annie Louis, Santanu Kumar Dash, Earl T. Barr, Michael D. Ernst, and Charles Sutton:
    Where Should I Comment My Code?: A Dataset and Model for Predicting Locations That Need Comments.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    László Tóth, Balázs Nagy, Tibor Gyimóthy, and László Vidács:
    Why Will My Question Be Closed?: NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rodrigo L. A. Almeida, Rossana M. C. Andrade, Ticianne G. R. Darin, and Joseane de O. V. Paiva:
    CHASE: Checklist to Assess User Experience in IoT Environments.
    International Conference on Software Engineering (ICSE): New Ideas and Emerging Results (NIER), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, and Daniel E. Krutz:
    Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    46 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Stephan Krusche, Nadine von Frankenberg, Lara Marie Reimer, and Bernd Bruegge:
    An Interactive Learning Method to Engage Students in Modeling.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Christian Kästner and Eunsuk Kang:
    Teaching Software Engineering for AI-Enabled Systems.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Umair Z. Ahmed, Nisheeth Srivastava, Renuka Sindhgatta, and Amey Karkare:
    Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jean-Guy Schneider, Peter W. Eklund, Kevin Lee, Feifei Chen, Andrew Cain, and Mohamed Almorsy Abdelrazek:
    Adopting Industry Agile Practices in Large-Scale Capstone Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Candy Pang, Abram Hindle, and Denilson Barbosa:
    Understanding Devops Education with Grounded Theory.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Laura Tubino, Andrew Cain, Jean-Guy Schneider, Dhananjay R. Thiruvady, and Niroshinie Fernando:
    Authentic Individual Assessment for Team-Based Software Engineering Projects.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Annika Wolff, Antti Knutas, and Paula Savolainen:
    What Prevents Finnish Women from Applying to Software Engineering Roles?: A Preliminary Analysis of Survey Data.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Michael A. Miljanovic and Jeremy S. Bradbury:
    GidgetML: An Adaptive Serious Game for Enhancing First Year Programming Labs.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jake Renzella and Andrew Cain:
    Enriching Programming Student Feedback with Audio Comments.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zheng Li:
    Using Public and Free Platform-as-a-Service (PaaS) Based Lightweight Projects for Software Architecture Education.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    11 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Kevin Ryan:
    We Should Teach Our Students What Industry Doesn't Want.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    10 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Williamson Silva, Bruno Gadelha, Igor Steinmacher, and Tayana Conte:
    Towards an Open Repository for Teaching Software Modeling Applying Active Learning Strategies.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    10 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Aliaksei Kavalchuk, Alec Goldenberg, and Ishtiaque Hussain:
    An Empirical Study of Teaching Qualities of Popular Computer Science and Software Engineering Instructors Using RateMyProfessor.com Data.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    9 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Fabio Vinicius Binder, Regina Albuquerque, Sheila S. Reinehr, and Andreia Malucelli:
    Innovation and Active Learning for Training Mobile App Developers.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Bob Edmison and Stephen H. Edwards:
    Turn up the Heat!: Using Heat Maps to Visualize Suspicious Code to Help Students Successfully Complete Programming Problems Faster.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Aubrey Lawson and Eileen T. Kraemer:
    Sidekicks and Superheroes: A Look into Student Reasoning About Concurrency with Threads Versus Actors.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Richard Glassey, Olle Bälter, Philipp Haller, and Mattias Wiggberg:
    Addressing the Double Challenge of Learning and Teaching Enterprise Technologies Through Peer Teaching.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    José I. Benedetto and Jaime Navón:
    Exploiting Group Shuffling Dynamics to Convey the Importance of Good Software Design.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Prajish Prasad and Sridhar Iyer:
    VeriSIM: A Learning Environment for Comprehending Class and Sequence Diagrams Using Design Tracing.
    International Conference on Software Engineering (ICSE): Software Engineering Education and Training (SEET), 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Practice (SEIP) ⌄

  1. 1
    Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhang, Zikai Chen, Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, and Dan Pei:
    Understanding and Handling Alert Storm for Online Service Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    63 cites at Semantic Scholar
    62% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ivano Malavolta, Grace A. Lewis, Bradley R. Schmerl, Patricia Lago, and David Garlan:
    How Do You Architect Your Robots?: State of the Practice and Guidelines for ROS-Based Systems.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    56 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Emily Kowalczyk, Karan Nair, Zebao Gao, Leo Silberstein, Teng Long, and Atif M. Memon:
    Modeling and Ranking Flaky Tests at Apple.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    55 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yang Chen, Andrew E. Santosa, Asankhaya Sharma, and David Lo:
    Automated Identification of Libraries from Vulnerability Data.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    48 cites at Semantic Scholar
    24% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Nathan Chong, Byron Cook, Konstantinos Kallas, Kareem Khazem, Felipe R. Monteiro, Daniel Schwartz-Narbonne, Serdar Tasiran, Michael Tautschnig, and Mark R. Tuttle:
    Code-Level Model Checking in the Software Development Workflow.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    47 cites at Semantic Scholar
    21% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jens Meinicke, Chu-Pan Wong, Bogdan Vasilescu, and Christian Kästner:
    Exploring Differences and Commonalities Between Feature Flags and Configuration Options.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    34 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    N. C. Shrikanth and Tim Menzies:
    Assessing Practitioner Beliefs About Software Defect Prediction.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jinhan Kim, Valeriy V. Savchenko, Kihyuck Shin, Konstantin S. Sorokin, Hyunseok Jeon, Georgiy A. Pankratenko, Sergey Markov, and Chul-Joo Kim:
    Automatic Abnormal Log Detection by Analyzing Log History for Providing Debugging Insight.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    28 cites at Semantic Scholar
    -28% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anton Strand, Markus Gunnarson, Ricardo Britto, and Muhammad Usman:
    Using a Context-Aware Approach to Recommend Code Reviewers: Findings from an Industrial Case Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Heiko Koziolek, Andreas Burger, Marie Platenius-Mohr, Julius Rückert, Hadil Abukwaik, Raoul Jetley, and Abdulla P. P:
    Rule-Based Code Generation in Industrial Automation: Four Large-Scale Case Studies Applying the CAYENNE Method.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Murali Krishna Ramanathan, Lazaro Clapp, Rajkishore Barik, and Manu Sridharan:
    Piranha: Reducing Feature Flag Debt at Uber.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Chungha Sung, Shuvendu K. Lahiri, Mike Kaufman, Pallavi Choudhury, and Chao Wang:
    Towards Understanding and Fixing Upstream Merge Induced Conflicts in Divergent Forks: An Industrial Case Study.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Anders Fischer-Nielsen, Zhoulai Fu, Ting Su, and Andrzej Wasowski:
    The Forgotten Case of the Dependency Bugs: On the Example of the Robot Operating System.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    19 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Shuyue Li, Jiaqi Guo, Ming Fan, Jian-Guang Lou, Qinghua Zheng, and Ting Liu:
    Automated Bug Reproduction from User Reviews for Android Applications.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    19 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, and Mathru Janakiraman:
    DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    15 cites at Semantic Scholar
    -61% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos, Ilias Gerostathopoulos, Matthew Wardrop, Tobias Mao, and Colin McFarland:
    Engineering for a Science-Centric Experimentation Platform.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Pei Wang, Yu Ding, Mingshen Sun, Huibo Wang, Tongxin Li, Rundong Zhou, Zhaofeng Chen, and Yiming Jing:
    Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xindong Zhang, Chenguang Zhu, Yi Li, Jianmei Guo, Lihua Liu, and Haobo Gu:
    Precfix: Large-Scale Patch Recommendation by Mining Defect-Patch Pairs.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Mingyu Park, Hoon Jang, Taejoon Byun, and Yunja Choi:
    Property-Based Testing for LG Home Appliances Using Accelerated Software-in-the-Loop Simulation.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    11 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, and Satish Chandra:
    Debugging Crashes Using Continuous Contrast Set Mining.
    International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP), 2020
    11 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering in Society (SEIS) ⌄

  1. 1
    Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, and Shanping Li:
    Is Using Deep Learning Frameworks Free?: Characterizing Technical Debt in Deep Learning Frameworks.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    66 cites at Semantic Scholar
    70% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, and Filomena Ferrucci:
    Refactoring Community Smells in the Wild: The Practitioner's Field Manual.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    45 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Mahnaz Behroozi, Shivani Shirolkar, Titus Barik, and Chris Parnin:
    Debugging Hiring: What Went Right and What Went Wrong in the Technical Interview Process.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rifat Ara Shams, Waqar Hussain, Gillian C. Oliver, Arif Nurwidyantoro, Harsha Perera, and Jon Whittle:
    Society-Oriented Applications Development: Investigating Users' Values from Bangladeshi Agriculture Mobile Applications.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Hemanth Gudaparthi, Reese Johnson, Harshitha Challa, and Nan Niu:
    Deep Learning for Smart Sewer Systems: Assessing Nonfunctional Requirements.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    15 cites at Semantic Scholar
    -61% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Julie Dugdale, Mahyar Tourchi Moghaddam, and Henry Muccini:
    Human Behaviour Centered Design: Developing a Software System for Cultural Heritage.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Juan Carlos Torrado, Ida Wold, Letizia Jaccheri, Susanna Pelagatti, Stefano Chessa, Javier Gomez, Gunnar Hartvigsen, and Henriette Michalsen:
    Developing Software for Motivating Individuals with Intellectual Disabilities to Do Outdoor Physical Activity.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Emilia Cioroaica, Barbora Buhnova, Thomas Kuhn, and Daniel Schneider:
    Building Trust in the Untrustable.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Alex Dekhtyar, Jane Huffman Hayes, Jared Payne, Tingting Yu, Jennifer Horkoff, Gunter Mussbacher, Irit Hadar, Meira Levy, Barbara Paech, Youngjoon Kim, Jo Eunjung, Heo Seungbum, Hong Youngtaek, Nam Byoungyoung, and Koh Sanggon:
    From RE Cares to SE Cares: Software Engineering for Social Good, One Venue at a Time.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    José Miguel Pérez-Álvarez and Adrian Mos:
    From Abstract Specifications to Application Generation.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Adriana Mihaela Guran, Grigoreta Sofia Cojocar, and Anamaria Moldovan:
    Designing Edutainment Software for Digital Skills Nurturing of Preschoolers: A Method Proposal.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Dzifa Ametowobla and Lutz Prechelt:
    How Layered Reuse Can Support Harmful Micropolitics: SAP ERP in Surgery Planning.
    International Conference on Software Engineering (ICSE): Software Engineering in Society (SEIS), 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI

FSE ⌄

  1. 1
    Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, and Neel Sundaresan:
    IntelliCode Compose: Code Generation Using Transformer.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    640 cites at Semantic Scholar
    1547% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Valentin Wüstholz and Maria Christakis:
    Harvey: A Greybox Fuzzer for Smart Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    231 cites at Semantic Scholar
    495% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zan Wang, Ming Yan, Junjie Chen, Shuang Liu, and Dongdi Zhang:
    Deep Learning Library Testing via Effective Model Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    🏆 Distinguished Paper
    207 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, and Eng Lieh Ouh:
    BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    196 cites at Semantic Scholar
    405% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Fabrice Harel-Canada, Lingxiao Wang, Muhammad Ali Gulzar, Quanquan Gu, and Miryung Kim:
    Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    182 cites at Semantic Scholar
    368% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, and Guoqiang Li:
    Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    171 cites at Semantic Scholar
    340% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, and Tim Menzies:
    Fairway: A Way to Build Fair ML Software.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    169 cites at Semantic Scholar
    335% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, and Mao Yang:
    Estimating GPU Memory Consumption of Deep Learning Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    157 cites at Semantic Scholar
    304% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Vincenzo Riccio and Paolo Tonella:
    Model-Based Exploration of the Frontier of Behaviours for Deep Learning System Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    154 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Manuel Rigger and Zhendong Su:
    Detecting Optimization Bugs in Database Engines via Non-Optimizing Reference Engine Construction.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    154 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, and Xuanzhe Liu:
    A Comprehensive Study on Challenges in Deploying Deep Learning Based Software.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    141 cites at Semantic Scholar
    263% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Marcel Böhme, Valentin J. M. Manès, and Sang Kil Cha:
    Boosting Fuzzer Efficiency: An Information Theoretic Perspective.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    🏆 Distinguished Paper
    138 cites at Semantic Scholar
    255% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Michael Pradel, Georgios Gousios, Jason Liu, and Satish Chandra:
    TypeWriter: Neural Type Prediction with Search-Based Validation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    136 cites at Semantic Scholar
    250% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xiaofeng Guo, Xin Peng, Hanzhang Wang, Wanxue Li, Huai Jiang, Dan Ding, Tao Xie, and Liangfei Su:
    Graph-Based Trace Analysis for Microservice Architecture Understanding and Problem Diagnosis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    128 cites at Semantic Scholar
    229% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Sumon Biswas and Hridesh Rajan:
    Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    127 cites at Semantic Scholar
    227% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mulong Xie, Sidong Feng, Zhenchang Xing, Jieshan Chen, and Chunyang Chen:
    UIED: A Hybrid Tool for GUI Element Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    127 cites at Semantic Scholar
    227% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, and Fabio Palomba:
    tsDetect: An Open Source Test Smells Detection Tool.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    125 cites at Semantic Scholar
    222% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, and Michael R. Lyu:
    Towards Intelligent Incident Management: Why We Need It and How We Make It.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    120 cites at Semantic Scholar
    209% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Enrique Larios Vargas, Maurício Finavaro Aniche, Christoph Treude, Magiel Bruntink, and Georgios Gousios:
    Selecting Third-Party Libraries: The Practitioners' Perspective.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    93 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, and Xiangyu Zhang:
    Correlations Between Deep Neural Network Model Coverage Criteria and Model Quality.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    87 cites at Semantic Scholar
    124% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Zan Wang, Ming Yan, Junjie Chen, Shuang Liu, and Dongdi Zhang:
    Deep Learning Library Testing via Effective Model Generation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    🏆 Distinguished Paper
    207 cites at Semantic Scholar
    433% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Fabrice Harel-Canada, Lingxiao Wang, Muhammad Ali Gulzar, Quanquan Gu, and Miryung Kim:
    Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    182 cites at Semantic Scholar
    368% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, and Guoqiang Li:
    Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    171 cites at Semantic Scholar
    340% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, and Tim Menzies:
    Fairway: A Way to Build Fair ML Software.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    169 cites at Semantic Scholar
    335% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Vincenzo Riccio and Paolo Tonella:
    Model-Based Exploration of the Frontier of Behaviours for Deep Learning System Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    154 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Manuel Rigger and Zhendong Su:
    Detecting Optimization Bugs in Database Engines via Non-Optimizing Reference Engine Construction.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    154 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, and Xuanzhe Liu:
    A Comprehensive Study on Challenges in Deploying Deep Learning Based Software.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    141 cites at Semantic Scholar
    263% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Marcel Böhme, Valentin J. M. Manès, and Sang Kil Cha:
    Boosting Fuzzer Efficiency: An Information Theoretic Perspective.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    🏆 Distinguished Paper
    138 cites at Semantic Scholar
    255% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Michael Pradel, Georgios Gousios, Jason Liu, and Satish Chandra:
    TypeWriter: Neural Type Prediction with Search-Based Validation.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    136 cites at Semantic Scholar
    250% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Sumon Biswas and Hridesh Rajan:
    Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    127 cites at Semantic Scholar
    227% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Enrique Larios Vargas, Maurício Finavaro Aniche, Christoph Treude, Magiel Bruntink, and Georgios Gousios:
    Selecting Third-Party Libraries: The Practitioners' Perspective.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    93 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, and Xiangyu Zhang:
    Correlations Between Deep Neural Network Model Coverage Criteria and Model Quality.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    87 cites at Semantic Scholar
    124% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Sergio García, Daniel Strüber, Davide Brugali, Thorsten Berger, and Patrizio Pelliccione:
    Robotics Software Engineering: A Perspective from the Service Robotics Domain.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    85 cites at Semantic Scholar
    119% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marcel Böhme and Brandon Falk:
    Fuzzing: On the Exponential Cost of Vulnerability Discovery.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    85 cites at Semantic Scholar
    119% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jacob Krüger and Thorsten Berger:
    An Empirical Analysis of the Costs of Clone- and Platform-Oriented Software Reuse.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    84 cites at Semantic Scholar
    116% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, and Baishakhi Ray:
    MTFuzz: Fuzzing with a Multi-Task Neural Network.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    77 cites at Semantic Scholar
    98% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Yuhao Zhang, Luyao Ren, Liqian Chen, Yingfei Xiong, Shing-Chi Cheung, and Tao Xie:
    Detecting Numerical Bugs in Neural Network Architectures.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    🏆 Distinguished Paper
    71 cites at Semantic Scholar
    83% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Muhammad Numair Mansur, Maria Christakis, Valentin Wüstholz, and Fuyuan Zhang:
    Detecting Critical Bugs in SMT Solvers Using Blackbox Mutational Fuzzing.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Qingrong Chen, Teng Wang, Owolabi Legunsen, Shanshan Li, and Tianyin Xu:
    Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    69 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Rahul Gopinath, Björn Mathis, and Andreas Zeller:
    Mining Input Grammars from Dynamic Control Flow.
    ACM International Conference on the Foundations of Software Engineering (FSE), 2020
    68 cites at Semantic Scholar
    75% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, and Eng Lieh Ouh:
    BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    196 cites at Semantic Scholar
    405% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Mulong Xie, Sidong Feng, Zhenchang Xing, Jieshan Chen, and Chunyang Chen:
    UIED: A Hybrid Tool for GUI Element Detection.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    127 cites at Semantic Scholar
    227% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, and Fabio Palomba:
    tsDetect: An Open Source Test Smells Detection Tool.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    125 cites at Semantic Scholar
    222% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yang Song and Oscar Chaparro:
    BEE: A Tool for Structuring and Analyzing Bug Reports.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    57 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Wen Li, Haipeng Cai, Yulei Sui, and David O. Manz:
    PCA: Memory Leak Detection Using Partial Call-Path Analysis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    48 cites at Semantic Scholar
    24% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Anup K. Kalia, Jin Xiao, Chen Lin, Saurabh Sinha, John J. Rofrano, Maja Vukovic, and Debasish Banerjee:
    Mono2Micro: An AI-Based Toolchain for Evolving Monolithic Enterprise Applications to a Microservice Architecture.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    44 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Marcelo Schmitt Laser, Nenad Medvidovic, Duc Minh Le, and Joshua Garcia:
    ARCADE: An Extensible Workbench for Architecture Recovery, Change, and Decay Evaluation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, and David Lo:
    DeepCommenter: A Deep Code Comment Generation Tool with Hybrid Lexical and Syntactical Information.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    35 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Ye Liu, Yi Li, Shang-Wei Lin, and Qiang Yan:
    ModCon: A Model-Based Testing Platform for Smart Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Renjue Li, Jianlin Li, Cheng-Chao Huang, Pengfei Yang, Xiaowei Huang, Lijun Zhang, Bai Xue, and Holger Hermanns:
    PRODeep: A Platform for Robustness Verification of Deep Neural Networks.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, and David Lo:
    JITO: A Tool for Just-in-Time Defect Identification and Localization.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Rehab El Hajj and Sarah Nadi:
    LibComp: An IntelliJ Plugin for Comparing Java Libraries.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xiaoqin Fu, Haipeng Cai, and Li Li:
    Dads: Dynamic Slicing Continuously-Running Distributed Programs with Budget Constraints.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Konner Macias, Mihir Mathur, Bobby R. Bruce, Tianyi Zhang, and Miryung Kim:
    WebJShrink: A Web Service for Debloating Java Bytecode.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Daniil Tiganov, Jeff Cho, Karim Ali, and Julian Dolby:
    SWAN: A Static Analysis Framework for Swift.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Alex Cummaudo, Scott Barnett, Rajesh Vasa, and John C. Grundy:
    Threshy: Supporting Safe Usage of Intelligent Web Services.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Rebecca Brunner, Robert Dyer, Maria Paquin, and Elena Sherman:
    PAClab: A Program Analysis Collaboratory.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kaan Ünlü, Baris Ardiç, and Eray Tüzün:
    CRSG: A Serious Game for Teaching Code Review.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Camilo Escobar-Velásquez, Diego Riveros, and Mario Linares-Vásquez:
    MutAPK 2.0: A Tool for Reducing Mutation Testing Effort of Android Apps.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Ali Ghanbari and Andrian Marcus:
    PRF: A Framework for Building Automatic Program Repair Prototypes for JVM-Based Languages.
    ACM International Conference on the Foundations of Software Engineering (FSE): Tool Demonstrations, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI

Ideas, Visions, and Reflections (IVR) ⌄

  1. 1
    Christoph Treude, Justin Middleton, and Thushari Atapattu:
    Beyond Accuracy: Assessing Software Documentation Quality.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    46 cites at Semantic Scholar
    18% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Vard Antinyan:
    Revealing the Complexity of Automotive Software.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    James Ivers, Ipek Ozkaya, Robert L. Nord, and Chris Seifried:
    Next Generation Automated Software Evolution Refactoring at Scale.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Anh Nguyen-Duc and Pekka Abrahamsson:
    Continuous Experimentation on Artificial Intelligence Software: A Research Agenda.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    9 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Sridhar Chimalakonda and Akhila Sri Manasa Venigalla:
    Software Documentation and Augmented Reality: Love or Arranged Marriage?
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Paul Gazzillo:
    Inferring and Securing Software Configurations Using Automated Reasoning.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Haipeng Cai, Shiv Raj Pant, and Wen Li:
    Towards Learning Visual Semantics.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Md Sohel Ahmed, Fuyuki Ishikawa, and Mahito Sugiyama:
    Testing Machine Learning Code Using Polyhedral Region.
    ACM International Conference on the Foundations of Software Engineering (FSE): Ideas, Visions, and Reflections (IVR), 2020
    2 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, and Neel Sundaresan:
    IntelliCode Compose: Code Generation Using Transformer.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    640 cites at Semantic Scholar
    1547% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Valentin Wüstholz and Maria Christakis:
    Harvey: A Greybox Fuzzer for Smart Contracts.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    231 cites at Semantic Scholar
    495% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, and Mao Yang:
    Estimating GPU Memory Consumption of Deep Learning Models.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    157 cites at Semantic Scholar
    304% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Xiaofeng Guo, Xin Peng, Hanzhang Wang, Wanxue Li, Huai Jiang, Dan Ding, Tao Xie, and Liangfei Su:
    Graph-Based Trace Analysis for Microservice Architecture Understanding and Problem Diagnosis.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    128 cites at Semantic Scholar
    229% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, and Michael R. Lyu:
    Towards Intelligent Incident Management: Why We Need It and How We Make It.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    120 cites at Semantic Scholar
    209% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang:
    How to Mitigate the Incident? An Effective Troubleshooting Guide Recommendation Technique for Online Service Systems.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    71 cites at Semantic Scholar
    83% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Zi Peng, Jinqiu Yang, Tse-Hsun (Peter) Chen, and Lei Ma:
    A First Look at the Integration of Machine Learning Models in Complex Autonomous Driving Systems: A Case Study on Apollo.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    65 cites at Semantic Scholar
    67% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Jinhan Kim, Jeongil Ju, Robert Feldt, and Shin Yoo:
    Reducing DNN Labelling Cost Using Surprise Adequacy: An Industrial Case Study for Autonomous Driving.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    57 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yu Liu, Cheng Chen, Ru Zhang, Tingting Qin, Xiang Ji, Haoxiang Lin, and Mao Yang:
    Enhancing the Interoperability Between Deep Learning Frameworks by Model Conversion.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Jie Wang, Yunguang Wu, Gang Zhou, Yiming Yu, Zhenyu Guo, and Yingfei Xiong:
    Scaling Static Taint Analysis to Industrial SOA Applications: A Case Study at Alibaba.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, and Xindong Zhang:
    Effort-Aware Just-in-Time Defect Identification in Practice: A Case Study at Alibaba.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    27 cites at Semantic Scholar
    -31% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zhenyue Long, Guoquan Wu, Xiaojiang Chen, Wei Chen, and Jun Wei:
    WebRR: Self-Replay Enhanced Robust Record/replay for Web Application Testing.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, and Dongmei Zhang:
    Efficient Customer Incident Triage via Linking with System Incidents.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    22 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Frederico Araujo and Teryl Taylor:
    Improving Cybersecurity Hygiene Through JIT Patching.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    17 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena L. Glassman, and Satish Chandra:
    Exempla Gratis (E.G.): Code Examples for Free.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Jincao Feng, Weikai Miao, Hanyue Zheng, Yihao Huang, Jianwen Li, Zheng Wang, Ting Su, Bin Gu, Geguang Pu, Mengfei Yang, and Jifeng He:
    FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Shinobu Saito, Yukako Iimura, Emad Aghayi, and Thomas D. LaToza:
    Can Microtask Programming Work in Industry?
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    11 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Linyi Li, Zhenwen Li, Weijie Zhang, Jun Zhou, Pengcheng Wang, Jing Wu, Guanghua He, Xia Zeng, Yuetang Deng, and Tao Xie:
    Clustering Test Steps in Natural Language Toward Automating Test Automation.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    10 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Cem Sürücü, Bianying Song, Jacob Krüger, Gunter Saake, and Thomas Leich:
    Establishing Key Performance Indicators for Measuring Software-Development Processes at a Large Organization.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    9 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Lin Shi, Mingyang Li, Mingzhe Xing, Yawen Wang, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, and Haiqing Wang:
    Learning to Extract Transaction Function from Requirements: An Industrial Case on Financial Software.
    ACM International Conference on the Foundations of Software Engineering (FSE): Industry, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI

ASE ⌄

  1. 1
    Fang Liu, Ge Li, Yunfei Zhao, and Zhi Jin:
    Multi-Task Learning Based Pre-Trained Language Model for Code Completion.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    237 cites at Semantic Scholar
    510% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    João F. Ferreira, Pedro Cruz, Thomas Durieux, and Rui Abreu:
    SmartBugs: A Framework to Analyze Solidity Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    231 cites at Semantic Scholar
    495% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan:
    Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    171 cites at Semantic Scholar
    340% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, and Chao Shen:
    Audee: Automated Testing for Deep Learning Frameworks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    143 cites at Semantic Scholar
    268% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Yinxing Xue, Mingliang Ma, Yun Lin, Yulei Sui, Jiaming Ye, and Tianyong Peng:
    Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    133 cites at Semantic Scholar
    242% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, and Hai Jin:
    Automated Patch Correctness Assessment: How Far Are We?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    132 cites at Semantic Scholar
    240% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Haoye Tian, Kui Liu, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, and Tegawendé F. Bissyandé:
    Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    131 cites at Semantic Scholar
    237% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, and Qing Wang:
    Owl Eyes: Spotting UI Display Issues via Visual Understanding.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    122 cites at Semantic Scholar
    214% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Shuai Wang and Zhendong Su:
    Metamorphic Object Insertion for Testing Object Detection Systems.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    102 cites at Semantic Scholar
    163% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, and Jianjun Zhao:
    Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    93 cites at Semantic Scholar
    139% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Zhenhao Li, Tse-Hsun Chen, and Weiyi Shang:
    Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    90 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    David Gros, Hariharan Sezhiyan, Prem Devanbu, and Zhou Yu:
    Code to Comment "Translation": Data, Metrics, Baselining & Evaluation.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    87 cites at Semantic Scholar
    124% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, and Jianling Sun:
    API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    82 cites at Semantic Scholar
    111% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Yueming Wu, Deqing Zou, Shihan Dou, Siru Yang, Wei Yang, Feng Cheng, Hong Liang, and Hai Jin:
    SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    82 cites at Semantic Scholar
    111% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jia Xu, Xiao Liu, Xuejun Li, Lei Zhang, and Yun Yang:
    Express: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain Based Smart Systems**This Research Is in Part Supported by the National Natural Science Foundation of China Project No. 61972001.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    79 cites at Semantic Scholar
    103% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, and Vincent J. Hellendoorn:
    Patching as Translation: The Data and the Metaphor.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    77 cites at Semantic Scholar
    98% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Weijun Shen, Yanhui Li, Lin Chen, Yuanlei Han, Yuming Zhou, and Baowen Xu:
    Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    75 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xian Zhan, Lingling Fan, Tianming Liu, Sen Chen, Li Li, Haoyu Wang, Yifei Xu, Xiapu Luo, and Yang Liu:
    Automated Third-Party Library Detection for Android Applications: Are We There Yet?
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    74 cites at Semantic Scholar
    90% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Jiawei Wang, Tzu-yang Kuo, Li Li, and Andreas Zeller:
    Assessing and Restoring Reproducibility of Jupyter Notebooks.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    72 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Yue Zou, Bihuan Ban, Yinxing Xue, and Yun Xu:
    CCGraph: A PDG-Based Code Clone Detector with Approximate Graph Matching.
    IEEE/ACM International Conference on Automated Software Engineering (ASE), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSTA ⌄

  1. 1
    Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, and Lin Tan:
    CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensemble for Program Repair.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    446 cites at Semantic Scholar
    1048% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Gustavo Grieco, Will Song, Artur Cygan, Josselin Feist, and Alex Groce:
    Echidna: Effective, Usable, and Fast Fuzzing for Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    263 cites at Semantic Scholar
    577% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, and Zhenyu Chen:
    DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    262 cites at Semantic Scholar
    574% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Asem Ghaleb and Karthik Pattabiraman:
    How Effective Are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    236 cites at Semantic Scholar
    507% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Minxue Pan, An Huang, Guoxin Wang, Tian Zhang, and Xuandong Li:
    Reinforcement Learning Based Curiosity-Driven Testing of Android Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    192 cites at Semantic Scholar
    394% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Chunrong Fang, Zixi Liu, Yangyang Shi, Jeff Huang, and Qingkai Shi:
    Functional Code Clone Detection with Syntax and Semantics Fusion Learning.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    123 cites at Semantic Scholar
    217% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, and Lu Zhang:
    Can Automated Program Repair Refine Fault Localization? A Unified Debugging Approach.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    120 cites at Semantic Scholar
    209% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Andrea Fioraldi, Daniele Cono D'Elia, and Emilio Coppa:
    WEIZZ: Automatic Grey-Box Fuzzing for Structured Binary Formats.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    91 cites at Semantic Scholar
    134% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Yifei Xu, Zhengzi Xu, Bihuan Chen, Fu Song, Yang Liu, and Ting Liu:
    Patch Based Vulnerability Matching for Binary Programs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    91 cites at Semantic Scholar
    134% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Zhibo Liu and Shuai Wang:
    How Far We Have Come: Testing Decompilation Correctness of C Decompilers.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    87 cites at Semantic Scholar
    124% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, and Sasa Misailovic:
    Detecting Flaky Tests in Probabilistic and Machine Learning Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Seokhyun Lee, Sooyoung Cha, Dain Lee, and Hakjoo Oh:
    Effective White-Box Testing of Deep Neural Networks with Adaptive Neuron-Selection Strategy.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Patrice Godefroid, Daniel Lehmann, and Marina Polishchuk:
    Differential Regression Testing for REST APIs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    69 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Muyang Liu, Ke Li, and Tao Chen:
    DeepSQLi: Deep Semantic Learning for Testing SQL Injection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    68 cites at Semantic Scholar
    75% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Mohannad Alhanahnah, Clay Stevens, and Hamid Bagheri:
    Scalable Analysis of Interaction Threats in IoT Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    61 cites at Semantic Scholar
    57% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Qianyang Peng, August Shi, and Lingming Zhang:
    Empirically Revisiting and Enhancing IR-Based Test-Case Prioritization.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst, and Tao Xie:
    Dependent-Test-Aware Regression Testing Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    45 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Gang Fan, Chengpeng Wang, Rongxin Wu, Xiao Xiao, Qingkai Shi, and Charles Zhang:
    Escaping Dependency Hell: Finding Build Dependency Errors with the Unified Dependency Graph.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, Mateusz Machalica, Erik Meijer, and Satish Chandra:
    Scaffle: Bug Localization on Millions of Files.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, and Thomas Stifter:
    Automated Repair of Feature Interaction Failures in Automated Driving Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, and Lin Tan:
    CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensemble for Program Repair.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    446 cites at Semantic Scholar
    1048% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, and Zhenyu Chen:
    DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    262 cites at Semantic Scholar
    574% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Asem Ghaleb and Karthik Pattabiraman:
    How Effective Are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    236 cites at Semantic Scholar
    507% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Minxue Pan, An Huang, Guoxin Wang, Tian Zhang, and Xuandong Li:
    Reinforcement Learning Based Curiosity-Driven Testing of Android Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    192 cites at Semantic Scholar
    394% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Chunrong Fang, Zixi Liu, Yangyang Shi, Jeff Huang, and Qingkai Shi:
    Functional Code Clone Detection with Syntax and Semantics Fusion Learning.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    123 cites at Semantic Scholar
    217% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, and Lu Zhang:
    Can Automated Program Repair Refine Fault Localization? A Unified Debugging Approach.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    120 cites at Semantic Scholar
    209% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Andrea Fioraldi, Daniele Cono D'Elia, and Emilio Coppa:
    WEIZZ: Automatic Grey-Box Fuzzing for Structured Binary Formats.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    91 cites at Semantic Scholar
    134% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Yifei Xu, Zhengzi Xu, Bihuan Chen, Fu Song, Yang Liu, and Ting Liu:
    Patch Based Vulnerability Matching for Binary Programs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    91 cites at Semantic Scholar
    134% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zhibo Liu and Shuai Wang:
    How Far We Have Come: Testing Decompilation Correctness of C Decompilers.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    87 cites at Semantic Scholar
    124% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, and Sasa Misailovic:
    Detecting Flaky Tests in Probabilistic and Machine Learning Applications.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Seokhyun Lee, Sooyoung Cha, Dain Lee, and Hakjoo Oh:
    Effective White-Box Testing of Deep Neural Networks with Adaptive Neuron-Selection Strategy.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Patrice Godefroid, Daniel Lehmann, and Marina Polishchuk:
    Differential Regression Testing for REST APIs.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    69 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Muyang Liu, Ke Li, and Tao Chen:
    DeepSQLi: Deep Semantic Learning for Testing SQL Injection.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    68 cites at Semantic Scholar
    75% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Mohannad Alhanahnah, Clay Stevens, and Hamid Bagheri:
    Scalable Analysis of Interaction Threats in IoT Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    61 cites at Semantic Scholar
    57% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Qianyang Peng, August Shi, and Lingming Zhang:
    Empirically Revisiting and Enhancing IR-Based Test-Case Prioritization.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst, and Tao Xie:
    Dependent-Test-Aware Regression Testing Techniques.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    45 cites at Semantic Scholar
    16% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Gang Fan, Chengpeng Wang, Rongxin Wu, Xiao Xiao, Qingkai Shi, and Charles Zhang:
    Escaping Dependency Hell: Finding Build Dependency Errors with the Unified Dependency Graph.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, Mateusz Machalica, Erik Meijer, and Satish Chandra:
    Scaffle: Bug Localization on Millions of Files.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, and Thomas Stifter:
    Automated Repair of Feature Interaction Failures in Automated Driving Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Muhui Jiang, Yajin Zhou, Xiapu Luo, Ruoyu Wang, Yang Liu, and Kui Ren:
    An Empirical Study on ARM Disassembly Tools.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Gustavo Grieco, Will Song, Artur Cygan, Josselin Feist, and Alex Groce:
    Echidna: Effective, Usable, and Fast Fuzzing for Smart Contracts.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    263 cites at Semantic Scholar
    577% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ali Ghanbari:
    ObjSim: Lightweight Automatic Patch Prioritization via Object Similarity.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Chao Guo, Tieke He, Wei Yuan, Yue Guo, and Rui Hao:
    Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yang Zhang, Shuai Shao, Juan Zhai, and Shiqing Ma:
    FineLock: Automatically Refactoring Coarse-Grained Locks into Fine-Grained Locks.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    10 cites at Semantic Scholar
    -74% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Wentian Yan, Jianbo Gao, Zhenhao Wu, Yue Li, Zhi Guan, Qingshan Li, and Zhong Chen:
    EShield: Protect Smart Contracts Against Reverse Engineering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    9 cites at Semantic Scholar
    -77% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ruixiang Qian, Yuan Zhao, Duo Men, Yang Feng, Qingkai Shi, Yong Huang, and Zhenyu Chen:
    Test Recommendation System Based on Slicing Coverage Filtering.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    George Thompson and Allison K. Sullivan:
    ProFL: A Fault Localization Framework for Prolog.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Ezio Bartocci, Niveditha Manjunath, Leonardo Mariani, Cristinel Mateis, Dejan Nickovic, and Fabrizio Pastore:
    CPSDebug: A Tool for Explanation of Failures in Cyber-Physical Systems.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, and Peitian Zhangzhu:
    TauJud: Test Augmentation of Machine Learning in Judicial Documents.
    ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA): Tool Demonstrations, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI

MSR ⌄

  1. 1
    Jiahao Fan, Yi Li, Shaohua Wang, and Tien N. Nguyen:
    A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    685 cites at Semantic Scholar
    1663% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Rafael-Michael Karampatsis and Charles Sutton:
    How Often Do Single-Statement Bugs Occur?: The ManySStuBs4J Dataset.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    172 cites at Semantic Scholar
    343% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Ahmad Abdellatif, Diego Costa, Khaled Badran, Rabe Abdalkareem, and Emad Shihab:
    Challenges in Chatbot Development: A Study of Stack Overflow Posts.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    142 cites at Semantic Scholar
    266% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Sakib Haque, Alexander LeClair, Lingfei Wu, and Collin McMillan:
    Improved Automatic Summarization of Subroutines via Attention to File Context.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    122 cites at Semantic Scholar
    214% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Gustavo Pinto, Breno Miranda, Supun Dissanayake, Marcelo d'Amorim, Christoph Treude, and Antonia Bertolino:
    What Is the Vocabulary of Flaky Tests?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    104 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, and Audris Mockus:
    Detecting and Characterizing Bots That Commit Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    97 cites at Semantic Scholar
    150% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Danielle Gonzalez, Thomas Zimmermann, and Nachiappan Nagappan:
    The State of the ML-Universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    95 cites at Semantic Scholar
    145% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Rhys Compton, Eibe Frank, Panos Patros, and Abigail M. Y. Koay:
    Embedding Java Classes with Code2vec: Improvements from Variable Obfuscation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Nicole Novielli, Fabio Calefato, Davide Dongiovanni, Daniela Girardi, and Filippo Lanubile:
    Can We Use SE-Specific Sentiment Analysis Tools in a Cross-Platform Setting?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    69 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, and Andrea De Lucia:
    Developer-Driven Code Smell Prioritization.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    60 cites at Semantic Scholar
    54% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Davide Spadini, Martin Schvarcbacher, Ana-Maria Oprescu, Magiel Bruntink, and Alberto Bacchelli:
    Investigating Severity Thresholds for Test Smells.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    60 cites at Semantic Scholar
    54% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Laerte Xavier, Fabio Ferreira, Rodrigo Brito, and Marco Túlio Valente:
    Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    58 cites at Semantic Scholar
    49% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Yang Chen, Andrew E. Santosa, Ming Yi Ang, Abhishek Sharma, Asankhaya Sharma, and David Lo:
    A Machine Learning Approach for Vulnerability Curation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    56 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, and Giuliano Antoniol:
    On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    52 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Pei Liu, Li Li, Yanjie Zhao, Xiaoyu Sun, and John Grundy:
    AndroZooOpen: Collecting Large-Scale Open Source Android Apps for the Research Community.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Matheus Paixão, Anderson G. Uchôa, Ana Carla Bibiano, Daniel Oliveira, Alessandro Garcia, Jens Krinke, and Emilio Arvonio:
    Behind the Intents: An In-Depth Empirical Study on Software Refactoring in Modern Code Review.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    49 cites at Semantic Scholar
    26% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Tanner Fry, Tapajit Dey, Andrey Karnauch, and Audris Mockus:
    A Dataset and an Approach for Identity Resolution of 38 Million Author IDs Extracted from 2B Git Commits.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Paolo Calciati, Konstantin Kuznetsov, Alessandra Gorla, and Andreas Zeller:
    Automatically Granted Permissions in Android Apps: An Empirical Study on Their Prevalence and on the Potential Threats for Privacy.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Thomas Durieux, Claire Le Goues, Michael Hilton, and Rui Abreu:
    Empirical Study of Restarted and Flaky Builds on Travis CI.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    James Walden:
    The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Ahmad Abdellatif, Diego Costa, Khaled Badran, Rabe Abdalkareem, and Emad Shihab:
    Challenges in Chatbot Development: A Study of Stack Overflow Posts.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    142 cites at Semantic Scholar
    266% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Sakib Haque, Alexander LeClair, Lingfei Wu, and Collin McMillan:
    Improved Automatic Summarization of Subroutines via Attention to File Context.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    122 cites at Semantic Scholar
    214% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Gustavo Pinto, Breno Miranda, Supun Dissanayake, Marcelo d'Amorim, Christoph Treude, and Antonia Bertolino:
    What Is the Vocabulary of Flaky Tests?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    104 cites at Semantic Scholar
    168% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, and Audris Mockus:
    Detecting and Characterizing Bots That Commit Code.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    97 cites at Semantic Scholar
    150% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Danielle Gonzalez, Thomas Zimmermann, and Nachiappan Nagappan:
    The State of the ML-Universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    95 cites at Semantic Scholar
    145% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Rhys Compton, Eibe Frank, Panos Patros, and Abigail M. Y. Koay:
    Embedding Java Classes with Code2vec: Improvements from Variable Obfuscation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Nicole Novielli, Fabio Calefato, Davide Dongiovanni, Daniela Girardi, and Filippo Lanubile:
    Can We Use SE-Specific Sentiment Analysis Tools in a Cross-Platform Setting?
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    69 cites at Semantic Scholar
    78% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, and Andrea De Lucia:
    Developer-Driven Code Smell Prioritization.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    60 cites at Semantic Scholar
    54% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Davide Spadini, Martin Schvarcbacher, Ana-Maria Oprescu, Magiel Bruntink, and Alberto Bacchelli:
    Investigating Severity Thresholds for Test Smells.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    60 cites at Semantic Scholar
    54% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Laerte Xavier, Fabio Ferreira, Rodrigo Brito, and Marco Túlio Valente:
    Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    58 cites at Semantic Scholar
    49% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Yang Chen, Andrew E. Santosa, Ming Yi Ang, Abhishek Sharma, Asankhaya Sharma, and David Lo:
    A Machine Learning Approach for Vulnerability Curation.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    56 cites at Semantic Scholar
    44% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, and Giuliano Antoniol:
    On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    52 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Matheus Paixão, Anderson G. Uchôa, Ana Carla Bibiano, Daniel Oliveira, Alessandro Garcia, Jens Krinke, and Emilio Arvonio:
    Behind the Intents: An In-Depth Empirical Study on Software Refactoring in Modern Code Review.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    49 cites at Semantic Scholar
    26% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Paolo Calciati, Konstantin Kuznetsov, Alessandra Gorla, and Andreas Zeller:
    Automatically Granted Permissions in Android Apps: An Empirical Study on Their Prevalence and on the Potential Threats for Privacy.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Thomas Durieux, Claire Le Goues, Michael Hilton, and Rui Abreu:
    Empirical Study of Restarted and Flaky Builds on Travis CI.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    James Walden:
    The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, and Foutse Khomh:
    The Scent of Deep Learning Code: An Empirical Study.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Yaroslav Golubev, Maria Eliseeva, Nikita Povarov, and Timofey Bryksin:
    A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    34 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Shayan A. Akbar and Avinash C. Kak:
    A Large-Scale Comparative Evaluation of IR-Based Tools for Bug Localization.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Antonio Borrelli, Vittoria Nardone, Giuseppe A. Di Lucca, Gerardo Canfora, and Massimiliano Di Penta:
    Detecting Video Game-Specific Bad Smells in Unity Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR), 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI

Data Showcase ⌄

  1. 1
    Jiahao Fan, Yi Li, Shaohua Wang, and Tien N. Nguyen:
    A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    685 cites at Semantic Scholar
    1663% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Rafael-Michael Karampatsis and Charles Sutton:
    How Often Do Single-Statement Bugs Occur?: The ManySStuBs4J Dataset.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    172 cites at Semantic Scholar
    343% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Pei Liu, Li Li, Yanjie Zhao, Xiaoyu Sun, and John Grundy:
    AndroZooOpen: Collecting Large-Scale Open Source Android Apps for the Research Community.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Tanner Fry, Tapajit Dey, Andrey Karnauch, and Audris Mockus:
    A Dataset and an Approach for Identity Resolution of 38 Million Author IDs Extracted from 2B Git Commits.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Diomidis Spinellis, Zoe Kotti, and Audris Mockus:
    A Dataset for GitHub Repository Deduplication.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    36 cites at Semantic Scholar
    -7% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Cristiano Politowski, Fábio Petrillo, Gabriel Cavalheiro Ullmann, Josias de Andrade Werly, and Yann-Gaël Guéhéneuc:
    Dataset of Video Game Development Problems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    34 cites at Semantic Scholar
    -12% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Audris Mockus, Diomidis Spinellis, Zoe Kotti, and Gabriel John Dusing:
    A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, and Lori L. Pollock:
    Software-Related Slack Chats with Disentangled Conversations.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    30 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Maëlick Claes and Mika V. Mäntylä:
    20-MAD: 20 Years of Issues and Commits of Mozilla and Apache Development.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    28 cites at Semantic Scholar
    -28% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Esteban Parra, Ashley Ellis, and Sonia Haiduc:
    GitterCom: A Dataset of Open Source Developer Communications in Gitter.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Carolin E. Brandt, Annibale Panichella, Andy Zaidman, and Moritz Beller:
    LogChunks: A Data Set for Build Log Analysis.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Themistoklis Diamantopoulos, Michail D. Papamichail, Thomas Karanikiotis, Kyriakos C. Chatzidimitriou, and Andreas L. Symeonidis:
    Employing Contribution and Quality Metrics for Quantifying the Software Development Process.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Xunhui Zhang, Ayushi Rastogi, and Yue Yu:
    On the Shoulders of Giants: A New Dataset for Pull-Based Development Research.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, and Thomas W. Reps:
    A Dataset of Dockerfiles.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    András Kicsi, László Vidács, and Tibor Gyimóthy:
    TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Diomidis Spinellis, Zoe Kotti, Konstantinos Kravvaritis, Georgios Theodorou, and Panos Louridas:
    A Dataset of Enterprise-Driven Open Source Software.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Federico Corò, Roberto Verdecchia, Emilio Cruciani, Breno Miranda, and Antonia Bertolino:
    JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Usman Ashraf, Christoph Mayr-Dorn, Alexander Egyed, and Sebastiano Panichella:
    A Mixed Graph-Relational Dataset of Socio-Technical Interactions in Open Source Systems.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Laura Bello-Jiménez, Camilo Escobar-Velásquez, Anamaria Mojica-Hanke, Santiago Cortés-Fernández, and Mario Linares-Vásquez:
    Hall-of-Apps: The Top Android Apps Metadata Archive.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Data Showcase, 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI

Mining Challenge ⌄

  1. 1
    Antoine Pietri, Diomidis Spinellis, and Stefano Zacchiroli:
    The Software Heritage Graph Dataset: Large-Scale Analysis of Public Software Development History.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Gábor Antal, Márton Keleti, and Péter Hegedüs:
    Exploring the Security Awareness of the Python and JavaScript Open Source Communities.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2020
    19 cites at Semantic Scholar
    -51% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Avijit Bhattacharjee, Sristy Sumana Nath, Shurui Zhou, Debasish Chakroborti, Banani Roy, Chanchal K. Roy, and Kevin A. Schneider:
    An Exploratory Study to Find Motives Behind Cross-Platform Forks from Software Heritage Dataset.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rao Hamza Ali, Chelsea Parlett-Pelleriti, and Erik Linstead:
    Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects.
    IEEE/ACM International Conference on Mining Software Repositories (MSR): Mining Challenge, 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI

SANER ⌄

  1. 1
    Wenhan Wang, Ge Li, Bo Ma, Xin Xia, and Zhi Jin:
    Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    341 cites at Semantic Scholar
    778% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Yuyao Zhang, Siqi Ma, Juanru Li, Kailai Li, Surya Nepal, and Dawu Gu:
    SMARTSHIELD: Automatic Smart Contract Protection Made Easy.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    95 cites at Semantic Scholar
    145% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen, and Davide Taibi:
    Are SonarQube Rules Inducing Bugs?
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    90 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, and Yang Liu:
    CORE: Automating Review Recommendation for Code Changes.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    77 cites at Semantic Scholar
    98% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, and Lingxiao Jiang:
    Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    64 cites at Semantic Scholar
    65% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Qingzhao Zhang, Yizhuo Wang, Juanru Li, and Siqi Ma:
    EthPloit: From Fuzzing to Efficient Exploit Generation Against Smart Contracts.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    61 cites at Semantic Scholar
    57% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Nathan Cassee, Bogdan Vasilescu, and Alexander Serebrenik:
    The Silent Helper: The Impact of Continuous Integration on Code Reviews.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    52 cites at Semantic Scholar
    34% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Felipe Ebert, Fernando Castor, and Alexander Serebrenik:
    A Reflection on "An Exploratory Study on Exception Handling Bugs in Java Programs".
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    51 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Fiorella Zampetti, Alexander Serebrenik, and Massimiliano Di Penta:
    Automatically Learning Patterns for Self-Admitted Technical Debt Removal.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    51 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Hongliang Liang, Lin Jiang, Lu Ai, and Jinyi Wei:
    Sequence Directed Hybrid Fuzzing.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Wei Tang, Ping Luo, Jialiang Fu, and Dan Zhang:
    LibDX: A Cross-Platform and Accurate System to Detect Third-Party Libraries in Binary Code.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zhaoxu Zhang, Hengcheng Zhu, Ming Wen, Yida Tao, Yepang Liu, and Yingfei Xiong:
    How Do Python Framework APIs Evolve? An Exploratory Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Pietro Abate, Roberto Di Cosmo, Georgios Gousios, and Stefano Zacchiroli:
    Dependency Solving Is Still Hard, but We Are Getting Better at It.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marco Couto, João Saraiva, and João Paulo Fernandes:
    Energy Refactorings for Android in the Large and in the Wild.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Rui Zhou, Mohammad Hamdaqa, Haipeng Cai, and Abdelwahab Hamou-Lhadj:
    MobiLogLeak: A Preliminary Study on Data Leakage Caused by Poor Logging Practices.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    30 cites at Semantic Scholar
    -23% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Guanhua Li, Yijian Wu, Chanchal K. Roy, Jun Sun, Xin Peng, Nanjie Zhan, Bin Hu, and Jingyi Ma:
    SAGA: Efficient and Large-Scale Detection of Near-Miss Clones with GPU Acceleration.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Victor Oliveira, Leopoldo Teixeira, and Felipe Ebert:
    On the Adoption of Kotlin on Android Development: A Triangulation Study.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Syed Fatiul Huq, Ali Zafar Sadiq, and Kazi Sakib:
    Is Developer Sentiment Related to Software Bugs: An Exploratory Study on GitHub Commits.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    27 cites at Semantic Scholar
    -31% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Paolo Boldi, Antoine Pietri, Sebastiano Vigna, and Stefano Zacchiroli:
    Ultra-Large-Scale Repository Analysis via Graph Compression.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Aline Brito, André C. Hora, and Marco Túlio Valente:
    Refactoring Graphs: Assessing Refactoring over Time.
    IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI

ICSME ⌄

  1. 1
    Ying Wang, Bihuan Chen, Kaifeng Huang, Bowen Shi, Congying Xu, Xin Peng, Yijian Wu, and Yang Liu:
    An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    141 cites at Semantic Scholar
    263% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ting Zhang, Bowen Xu, Ferdian Thung, Stefanus Agus Haryono, David Lo, and Lingxiao Jiang:
    Sentiment Analysis for Software Engineering: How Far Can Pre-Trained Transformer Models Go?
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    121 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Delano Oliveira, Reydne Bruno, Fernanda Madeiral, and Fernando Castor:
    Evaluating Code Readability and Legibility: An Examination of Human-Centric Studies.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    71 cites at Semantic Scholar
    83% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Pengcheng Zhang, Feng Xiao, and Xiapu Luo:
    A Framework and DataSet for Bugs in Ethereum Smart Contracts.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Mairieli Santos Wessel, Alexander Serebrenik, Igor Wiese, Igor Steinmacher, and Marco Aurélio Gerosa:
    Effects of Adopting Code Review Bots on Pull Requests to OSS Projects.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    67 cites at Semantic Scholar
    72% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Eeshita Biswas, Mehmet Efruz Karabulut, Lori L. Pollock, and K. Vijay-Shanker:
    Achieving Reliable Sentiment Analysis in the Software Engineering Domain Using BERT.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    64 cites at Semantic Scholar
    65% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Denini Silva, Leopoldo Teixeira, and Marcelo d'Amorim:
    Shake It! Detecting Flaky Tests Caused by Concurrency with Shaker.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    57 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Sri Lakshmi Vadlamani and Olga Baysal:
    Studying Software Developer Expertise and Contributions in Stack Overflow and GitHub.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anderson G. Uchôa, Caio Barbosa, Willian Nalepa Oizumi, Publio Blenilio, Rafael Lima, Alessandro F. Garcia, and Carla I. M. Bezerra:
    How Does Modern Code Review Impact Software Design Degradation? An In-Depth Empirical Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    48 cites at Semantic Scholar
    24% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Celal Ziftci and Diego Cavalcanti:
    De-Flake Your Tests : Automatically Locating Root Causes of Flaky Tests in Code At Google.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    41 cites at OpenAlex
    6% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Moses Openja, Bram Adams, and Foutse Khomh:
    Analysis of Modern Release Engineering Topics : - A Large-Scale Study Using StackOverflow -.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, and Xiaohong Zhang:
    Improving Log-Based Anomaly Detection with Component-Aware Analysis.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, and Yuting Chen:
    Learning Code-Query Interaction for Enhancing Code Searches.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, and Vincent J. Hellendoorn:
    Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Pronnoy Goswami, Saksham Gupta, Zhiyuan Li, Na Meng, and Danfeng Daphne Yao:
    Investigating The Reproducibility of NPM Packages.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Changyuan Lin, Sarah Nadi, and Hamzeh Khazaei:
    A Large-Scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    36 cites at Semantic Scholar
    -7% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Alexander Trautsch, Steffen Herbold, and Jens Grabowski:
    Static Source Code Metrics and Static Analysis Warnings for Fine-Grained Just-in-Time Defect Prediction.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    35 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma, and Jianjun Zhao:
    Few-Shot Guided Mix for DNN Repairing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, and Xin Xia:
    An Empirical Study of the Dependency Networks of Deep Learning Libraries.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    32 cites at Semantic Scholar
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Giovanni Grano, Cristian De Iaco, Fabio Palomba, and Harald C. Gall:
    Pizza Versus Pinsa: On the Perception and Measurability of Unit Test Code Quality.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Ying Wang, Bihuan Chen, Kaifeng Huang, Bowen Shi, Congying Xu, Xin Peng, Yijian Wu, and Yang Liu:
    An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    141 cites at Semantic Scholar
    263% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ting Zhang, Bowen Xu, Ferdian Thung, Stefanus Agus Haryono, David Lo, and Lingxiao Jiang:
    Sentiment Analysis for Software Engineering: How Far Can Pre-Trained Transformer Models Go?
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    121 cites at Semantic Scholar
    211% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Delano Oliveira, Reydne Bruno, Fernanda Madeiral, and Fernando Castor:
    Evaluating Code Readability and Legibility: An Examination of Human-Centric Studies.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    71 cites at Semantic Scholar
    83% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Pengcheng Zhang, Feng Xiao, and Xiapu Luo:
    A Framework and DataSet for Bugs in Ethereum Smart Contracts.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    70 cites at Semantic Scholar
    80% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Mairieli Santos Wessel, Alexander Serebrenik, Igor Wiese, Igor Steinmacher, and Marco Aurélio Gerosa:
    Effects of Adopting Code Review Bots on Pull Requests to OSS Projects.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    67 cites at Semantic Scholar
    72% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Eeshita Biswas, Mehmet Efruz Karabulut, Lori L. Pollock, and K. Vijay-Shanker:
    Achieving Reliable Sentiment Analysis in the Software Engineering Domain Using BERT.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    64 cites at Semantic Scholar
    65% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Denini Silva, Leopoldo Teixeira, and Marcelo d'Amorim:
    Shake It! Detecting Flaky Tests Caused by Concurrency with Shaker.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    57 cites at Semantic Scholar
    47% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Sri Lakshmi Vadlamani and Olga Baysal:
    Studying Software Developer Expertise and Contributions in Stack Overflow and GitHub.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    50 cites at Semantic Scholar
    29% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Anderson G. Uchôa, Caio Barbosa, Willian Nalepa Oizumi, Publio Blenilio, Rafael Lima, Alessandro F. Garcia, and Carla I. M. Bezerra:
    How Does Modern Code Review Impact Software Design Degradation? An In-Depth Empirical Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    48 cites at Semantic Scholar
    24% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Moses Openja, Bram Adams, and Foutse Khomh:
    Analysis of Modern Release Engineering Topics : - A Large-Scale Study Using StackOverflow -.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, and Yuting Chen:
    Learning Code-Query Interaction for Enhancing Code Searches.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, and Vincent J. Hellendoorn:
    Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Changyuan Lin, Sarah Nadi, and Hamzeh Khazaei:
    A Large-Scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    36 cites at Semantic Scholar
    -7% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Alexander Trautsch, Steffen Herbold, and Jens Grabowski:
    Static Source Code Metrics and Static Analysis Warnings for Fine-Grained Just-in-Time Defect Prediction.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    35 cites at Semantic Scholar
    -10% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, and Xin Xia:
    An Empirical Study of the Dependency Networks of Deep Learning Libraries.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    32 cites at Semantic Scholar
    -18% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Giovanni Grano, Cristian De Iaco, Fabio Palomba, and Harald C. Gall:
    Pizza Versus Pinsa: On the Perception and Measurability of Unit Test Code Quality.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Wunan Guo, Liwei Shen, Ting Su, Xin Peng, and Weiyang Xie:
    Improving Automated GUI Exploration of Android Apps via Static Dependency Analysis.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Léuson M. P. da Silva, Paulo Borba, Wardah Mahmood, Thorsten Berger, and João Moisakis:
    Detecting Semantic Conflicts via Automated Behavior Change Detection.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    28 cites at Semantic Scholar
    -28% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Luiz Carvalho, Alessandro F. Garcia, Thelma Elita Colanzi, Wesley K. G. Assunção, Juliana Alves Pereira, Baldoino Fonseca, Márcio Ribeiro, Maria Julia de Lima, and Carlos Lucena:
    On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    27 cites at Semantic Scholar
    -31% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Aleksandr Chueshev, Julia Lawall, Reda Bendraou, and Tewfik Ziadi:
    Expanding the Number of Reviewers in Open-Source Projects by Recommending Appropriate Developers.
    IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Purit Phan-Udom, Naruedon Wattanakul, Tattiya Sakulniwat, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Morakot Choetkiertikul, and Raula Gaikovina Kula:
    Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Piyush Gupta, Nikita Mehrotra, and Rahul Purandare:
    JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Zhenhao Wu, Jiashuo Zhang, Jianbo Gao, Yue Li, Qingshan Li, Zhi Guan, and Zhong Chen:
    Kaya: A Testing Framework for Blockchain-Based Decentralized Applications.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Zhenyue Long, Zeliu Ao, Guoquan Wu, Wei Chen, and Jun Wei:
    WebRTS: A Dynamic Regression Test Selection Tool for Java Web Applications.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Vishvajeet Thakur, Marouane Kessentini, and Tushar Sharma:
    QScored: An Open Platform for Code Quality Ranking and Visualization.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Guilherme Lacerda, Fábio Petrillo, and Marcelo Soares Pimenta:
    DR-Tools: A Suite of Lightweight Open-Source Tools to Measure and Visualize Java Source Code.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Ryan Hardt:
    A Toolset to Support a Software Maintenance Process in Academic Environments.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Tool Demonstrations, 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Celal Ziftci and Diego Cavalcanti:
    De-Flake Your Tests : Automatically Locating Root Causes of Flaky Tests in Code At Google.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    41 cites at OpenAlex
    6% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Wei Zhang:
    Efficient Bug Triage For Industrial Environments.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Hyrum K. Wright:
    Incremental Type Migration Using Type Algebra.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Marcos Medeiros, Uirá Kulesza, Rodrigo Bonifácio, Eiji Adachi Barbosa, and Roberta Coelho:
    Improving Bug Localization by Mining Crash Reports: An Industrial Study.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jasper van Riet, Flavia Paganelli, and Ivano Malavolta:
    From 6.2 to 0.15 Seconds - an Industrial Case Study on Mobile Web Performance.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Vipin Balachandran:
    On the Need for Automatic Knowledge Management in Modern Collaboration Tools to Improve Software Maintenance.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    2 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Michal Michalski, Piotr Kosko, Dawid Juszczak, and Hobum Kwon:
    EWIDL: Single-Source Web API Documentation Management System.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): Industry, 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI

New Ideas and Emerging Results (NIER) ⌄

  1. 1
    Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, and Xiaohong Zhang:
    Improving Log-Based Anomaly Detection with Component-Aware Analysis.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Pronnoy Goswami, Saksham Gupta, Zhiyuan Li, Na Meng, and Danfeng Daphne Yao:
    Investigating The Reproducibility of NPM Packages.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma, and Jianjun Zhao:
    Few-Shot Guided Mix for DNN Repairing.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    33 cites at Semantic Scholar
    -15% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Yuechen Wu, Yingfeng Chen, Xiaofei Xie, Bing Yu, Changjie Fan, and Lei Ma:
    Regression Testing of Massively Multiplayer Online Role-Playing Games.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Earl W. Huff Jr., Kwajo Boateng, Makayla Moster, Paige Rodeghero, and Julian Brinkley:
    Examining The Work Experience of Programmers with Visual Impairments.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    22 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Yui Sasaki, Yoshiki Higo, Shinsuke Matsumoto, and Shinji Kusumoto:
    SBFL-Suitability: A Software Characteristic for Fault Localization.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    17 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Gianmarco Fucci, Fiorella Zampetti, Alexander Serebrenik, and Massimiliano Di Penta:
    Who (Self) Admits Technical Debt?
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Damien Legay, Alexandre Decan, and Tom Mens:
    On Package Freshness in Linux Distributions.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Daniel Soto, Alexandre Bergel, and Alejandro Hevia:
    Fuzzing to Estimate Gas Costs of Ethereum Contracts.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    ThanhVu Nguyen and KimHao Nguyen:
    Using Symbolic Execution to Analyze Linux KBuild Makefiles.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Keisuke Yano and Akihiko Matsuo:
    Moderate Detection and Removal of Omnipresent Modules in Software Clustering.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Qian Liang and Patrick Lam:
    SiblingClassTestDetector: Finding Untested Sibling Functions.
    IEEE International Conference on Software Maintenance and Evolution (ICSME): New Ideas and Emerging Results (NIER), 2020
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ISSRE ⌄

  1. 1
    Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, and Ravishankar K. Iyer:
    AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    234 cites at Semantic Scholar
    502% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, and Dan Pei:
    Unsupervised Detection of Microservice Trace Anomalies Through Service-Level Deep Bayesian Networks.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    221 cites at Semantic Scholar
    469% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Xiaoyun Li, Pengfei Chen, Linxiao Jing, Zilong He, and Guangba Yu:
    SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    154 cites at Semantic Scholar
    296% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yuzhi Zhang, Xu Chen, and Yuqing Liu:
    LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    105 cites at Semantic Scholar
    170% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben:
    TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    90 cites at Semantic Scholar
    132% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, and Ting Liu:
    An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    89 cites at Semantic Scholar
    129% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Wing Lam, Stefan Winter, Angello Astorga, Victoria Stodden, and Darko Marinov:
    Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    66 cites at Semantic Scholar
    70% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Francesco Secci and Andrea Ceccarelli:
    On Failures of RGB Cameras and Their Effects in Autonomous Driving Applications.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    48 cites at Semantic Scholar
    24% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Shuqing Li, Yechang Wu, Yi Liu, Dinghua Wang, Ming Wen, Yida Tao, Yulei Sui, and Yepang Liu:
    An Exploratory Study of Bugs in Extended Reality Applications on the Web.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    39 cites at Semantic Scholar
    0% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Kaiyuan Wang, Allison Sullivan, Darko Marinov, and Sarfraz Khurshid:
    Fault Localization for Declarative Models in Alloy.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, and Yan Lei:
    Deep Learning Based Valid Bug Reports Determination and Explanation.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Guanping Xiao, Xiaoting Du, Yulei Sui, and Tao Yue:
    HINDBR: Heterogeneous Information Network Based Duplicate Bug Report Prediction.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    28 cites at Semantic Scholar
    -28% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Jon Ayerdi, Sergio Segura, Aitor Arrieta, Goiuria Sagardui, and Maite Arratibel:
    QoS-Aware Metamorphic Testing: An Elevation Case Study.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    26 cites at Semantic Scholar
    -33% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Xiaoting Du, Guanping Xiao, and Yulei Sui:
    Fault Triggers in the TensorFlow Framework: An Experience Report.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, and Dan Hao:
    Cost-Effective Testing of a Deep Learning Model Through Input Reduction.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    24 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Han Wu, Zhihao Shang, Guang Peng, and Katinka Wolter:
    A Reactive Batching Strategy of Apache Kafka for Reliable Stream Processing in Real-Time.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Tao Ji, Liqian Chen, Xin Yi, and Xiaoguang Mao:
    Understanding Merge Conflicts and Resolutions in Git Rebases.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    17 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Dominik Kesim, André van Hoorn, Sebastian Frank, and Matthias Häussler:
    Identifying and Prioritizing Chaos Experiments by Using Established Risk Analysis Techniques.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Bin Xu, Dongdong Zhao, Kai Jia, Junwei Zhou, Jing Tian, and Jianwen Xiang:
    Cross-Project Aging-Related Bug Prediction Based on Joint Distribution Adaptation and Improved Subclass Discriminant Analysis.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    João R. Campos and Ernesto Costa:
    Fault Injection to Generate Failure Data for Failure Prediction: A Case Study.
    IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI

ICST ⌄

  1. 1
    Van-Thuan Pham, Marcel Böhme, and Abhik Roychoudhury:
    AFLNET: A Greybox Fuzzer for Network Protocols.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    389 cites at Semantic Scholar
    901% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Emanuele Viglianisi, Michael Dallago, and Mariano Ceccato:
    RESTTESTGEN: Automated Black-Box Testing of RESTful APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    166 cites at Semantic Scholar
    327% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Alessandro Calò, Paolo Arcaini, Shaukat Ali, Florian Hauer, and Fuyuki Ishikawa:
    Generating Avoidable Collision Scenarios for Testing Autonomous Driving Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    109 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Stefan Karlsson, Adnan Causevic, and Daniel Sundmark:
    QuickREST: Property-Based Test Generation of OpenAPI-Described RESTful APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    101 cites at Semantic Scholar
    160% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Afsoon Afzal, Claire Le Goues, Michael Hilton, and Christopher Steven Timperley:
    A Study on Challenges of Testing Robotic Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    94 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Gunel Jahangirova and Paolo Tonella:
    An Empirical Evaluation of Mutation Operators for Deep Learning Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    75 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Fitash Ul Haq, Donghwan Shin, Shiva Nejati, and Lionel C. Briand:
    Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    72 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Vaggelis Atlidakis, Patrice Godefroid, and Marina Polishchuk:
    Checking Security Properties of Cloud Service REST APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    72 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Marcel Böhme, Charaka Geethal, and Van-Thuan Pham:
    Human-In-The-Loop Automatic Program Repair.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    44 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Shaobo He, Michael Emmi, and Gabriela F. Ciocarlie:
    Ct-Fuzz: Fuzzing for Timing Leaks.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Jannik Fischbach, Andreas Vogelsang, Dominik Spies, Andreas Wehrle, Maximilian Junker, and Dietmar Freudenstein:
    SPECMATE: Automated Creation of Test Cases from Acceptance Criteria.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Phu X. Mai, Fabrizio Pastore, Arda Goknil, and Lionel C. Briand:
    Metamorphic Security Testing for Web Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Maurizio Leotta, Matteo Biagiola, Filippo Ricca, Mariano Ceccato, and Paolo Tonella:
    A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Marcio Augusto Guimarães, Leonardo Fernandes, Márcio Ribeiro, Marcelo d'Amorim, and Rohit Gheyi:
    Optimizing Mutation Testing by Discovering Dynamic Mutant Subsumption Relations.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    24 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Xiangyu Li and Alessandro Orso:
    More Accurate Dynamic Slicing for Better Supporting Software Debugging.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    André Takeshi Endo and Anders Møller:
    NodeRacer: Event Race Detection for Node.js Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Andrea Arcuri and Juan P. Galeotti:
    Testability Transformations For Existing APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Matteo Biagiola, Andrea Stocco, Filippo Ricca, and Paolo Tonella:
    Dependency-Aware Web Test Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Breno Miranda, Igor Lima, Owolabi Legunsen, and Marcelo d'Amorim:
    Prioritizing Runtime Verification Violations.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Thorsten Wuensche, Artur Andrzejak, and Sascha Schwedes:
    Detecting Higher-Order Merge Conflicts in Large Software Projects.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Emanuele Viglianisi, Michael Dallago, and Mariano Ceccato:
    RESTTESTGEN: Automated Black-Box Testing of RESTful APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    166 cites at Semantic Scholar
    327% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Stefan Karlsson, Adnan Causevic, and Daniel Sundmark:
    QuickREST: Property-Based Test Generation of OpenAPI-Described RESTful APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    101 cites at Semantic Scholar
    160% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Afsoon Afzal, Claire Le Goues, Michael Hilton, and Christopher Steven Timperley:
    A Study on Challenges of Testing Robotic Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    94 cites at Semantic Scholar
    142% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Gunel Jahangirova and Paolo Tonella:
    An Empirical Evaluation of Mutation Operators for Deep Learning Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    75 cites at Semantic Scholar
    93% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Fitash Ul Haq, Donghwan Shin, Shiva Nejati, and Lionel C. Briand:
    Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    72 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Marcel Böhme, Charaka Geethal, and Van-Thuan Pham:
    Human-In-The-Loop Automatic Program Repair.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    44 cites at Semantic Scholar
    13% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Phu X. Mai, Fabrizio Pastore, Arda Goknil, and Lionel C. Briand:
    Metamorphic Security Testing for Web Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    29 cites at Semantic Scholar
    -25% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Maurizio Leotta, Matteo Biagiola, Filippo Ricca, Mariano Ceccato, and Paolo Tonella:
    A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Marcio Augusto Guimarães, Leonardo Fernandes, Márcio Ribeiro, Marcelo d'Amorim, and Rohit Gheyi:
    Optimizing Mutation Testing by Discovering Dynamic Mutant Subsumption Relations.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    24 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Xiangyu Li and Alessandro Orso:
    More Accurate Dynamic Slicing for Better Supporting Software Debugging.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    23 cites at Semantic Scholar
    -41% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    André Takeshi Endo and Anders Møller:
    NodeRacer: Event Race Detection for Node.js Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Andrea Arcuri and Juan P. Galeotti:
    Testability Transformations For Existing APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Matteo Biagiola, Andrea Stocco, Filippo Ricca, and Paolo Tonella:
    Dependency-Aware Web Test Generation.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Breno Miranda, Igor Lima, Owolabi Legunsen, and Marcelo d'Amorim:
    Prioritizing Runtime Verification Violations.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Hussein K. Almulla and Gregory Gay:
    Learning How to Search: Generating Exception-Triggering Tests Through Adaptive Fitness Function Selection.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    14 cites at Semantic Scholar
    -64% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Mojdeh Golagha, Alexander Pretschner, and Lionel C. Briand:
    Can We Predict the Quality of Spectrum-Based Fault Localization?
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, and Paolo Tonella:
    A Framework for In-Vivo Testing of Mobile Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Kesina Baral and Jeff Offutt:
    An Empirical Analysis of Blind Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Patrick Kreutzer, Stefan Kraus, and Michael Philippsen:
    Language-Agnostic Generation of Compilable Test Programs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Julien Leveau, Xavier Blanc, Laurent Réveillère, Jean-Rémy Falleri, and Romain Rouvoy:
    Fostering the Diversity of Exploratory Testing in Web Applications.
    IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020
    6 cites at OpenAlex
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Van-Thuan Pham, Marcel Böhme, and Abhik Roychoudhury:
    AFLNET: A Greybox Fuzzer for Network Protocols.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    389 cites at Semantic Scholar
    901% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Shaobo He, Michael Emmi, and Gabriela F. Ciocarlie:
    Ct-Fuzz: Fuzzing for Timing Leaks.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    42 cites at Semantic Scholar
    8% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Miroslav Bures, Pavel Herout, and Bestoun S. Ahmed:
    Open-Source Defect Injection Benchmark Testbed for the Evaluation of Testing.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Hassan Sartaj, Muhammad Zohaib Iqbal, and Muhammad Uzair Khan:
    CDST: A Toolkit for Testing Cockpit Display Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Sakshi Udeshi, Xingbin Jiang, and Sudipta Chattopadhyay:
    Callisto: Entropy-Based Test Generation and Data Quality Assessment for Machine Learning Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    7 cites at Semantic Scholar
    -82% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Antonia Bertolino, Guglielmo De Angelis, Breno Miranda, and Paolo Tonella:
    Run Java Applications and Test Them In-Vivo Meantime.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Tool Demonstrations, 2020
    5 cites at Semantic Scholar
    -87% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    Alessandro Calò, Paolo Arcaini, Shaukat Ali, Florian Hauer, and Fuyuki Ishikawa:
    Generating Avoidable Collision Scenarios for Testing Autonomous Driving Systems.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    109 cites at Semantic Scholar
    181% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Vaggelis Atlidakis, Patrice Godefroid, and Marina Polishchuk:
    Checking Security Properties of Cloud Service REST APIs.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    72 cites at Semantic Scholar
    85% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Jannik Fischbach, Andreas Vogelsang, Dominik Spies, Andreas Wehrle, Maximilian Junker, and Dietmar Freudenstein:
    SPECMATE: Automated Creation of Test Cases from Acceptance Criteria.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Thorsten Wuensche, Artur Andrzejak, and Sascha Schwedes:
    Detecting Higher-Order Merge Conflicts in Large Software Projects.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Supriya Agrawal, R. Venkatesh, Ulka Shrotri, Amey Zare, and Sagar Verma:
    Scaling Test Case Generation For Expressive Decision Tables.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    3 cites at Semantic Scholar
    -92% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Élodie Bernard, Julien Botella, Fabrice Ambert, Bruno Legeard, and Mark Utting:
    Tool Support for Refactoring Manual Tests.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    2 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Marco Pistoia, Peng Liu, Chun-Fu (Richard) Chen, Shaohan Hu, and Stephen P. Wood:
    Parallelization of Classical Numerical Optimization in Quantum Variational Algorithms.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Max J. Friese, Johannes Traub, and Dirk Nowotka:
    EC.LANG - A Language for Specifying Response Time Analyses of Event Chains.
    IEEE International Conference on Software Testing, Verification and Validation (ICST): Industry, 2020
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

ICPC ⌄

  1. 1
    Alexander LeClair, Sakib Haque, Lingfei Wu, and Collin McMillan:
    Improved Code Summarization via a Graph Neural Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    337 cites at Semantic Scholar
    767% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei:
    Improving Code Search with Co-Attentive Representation Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    133 cites at Semantic Scholar
    242% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, and Yu Huang:
    A Human Study of Comprehension and Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    100 cites at Semantic Scholar
    157% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, and Zhi Jin:
    A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    82 cites at Semantic Scholar
    111% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jianjun He, Ling Xu, Meng Yan, Xin Xia, and Yan Lei:
    Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Thazin Win Win Aung, Huan Huo, and Yulei Sui:
    A Literature Review of Automatic Traceability Links Recovery for Software Change Impact Analysis.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    64 cites at Semantic Scholar
    65% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jinglei Zhang, Rui Xie, Wei Ye, Yuhan Zhang, and Shikun Zhang:
    Exploiting Code Knowledge Graph for Bug Localization via Bi-Directional Attention.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    55 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Norman Peitek, Janet Siegmund, and Sven Apel:
    What Drives the Reading Order of Programmers?: An Eye Tracking Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    51 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chunyang Ling, Zeqi Lin, Yanzhen Zou, and Bing Xie:
    Adaptive Deep Code Search.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, and Fabio Palomba:
    Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Stefanus A. Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, and Lingxiao Jiang:
    Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Fazle Rabbi and Md. Saeed Siddik:
    Detecting Code Comment Inconsistency Using Siamese Recurrent Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Valerio Terragni, Pasquale Salza, and Mauro Pezzè:
    Measuring Software Testability Modulo Test Quality.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, and Fabio Palomba:
    Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    27 cites at Semantic Scholar
    -31% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Zhifei Chen, Yanhui Li, Bihuan Chen, Wanwangying Ma, Lin Chen, and Baowen Xu:
    An Empirical Study on Dynamic Typing Related Practices in Python Systems.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, and Damian Andrew Tamburri:
    OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    24 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Ana Carla Bibiano, Vinícius Soares, Daniel Coutinho, Eduardo Fernandes, João Lucas Correia, Kleber Santos, Anderson Oliveira, Alessandro Garcia, Rohit Gheyi, Baldoino Fonseca, Márcio Ribeiro, Caio Barbosa, and Daniel Oliveira:
    How Does Incomplete Composite Refactoring Affect Internal Quality Attributes?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    22 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, and Andrea De Lucia:
    Refactoring Android-Specific Energy Smells: A Plugin for Android Studio.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Maria Caulo, Bin Lin, Gabriele Bavota, Giuseppe Scanniello, and Michele Lanza:
    Knowledge Transfer in Modern Code Review.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Fengcai Wen, Csaba Nagy, Michele Lanza, and Gabriele Bavota:
    An Empirical Study of Quick Remedy Commits.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI

Research/Technical Papers ⌄

  1. 1
    Alexander LeClair, Sakib Haque, Lingfei Wu, and Collin McMillan:
    Improved Code Summarization via a Graph Neural Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    337 cites at Semantic Scholar
    767% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei:
    Improving Code Search with Co-Attentive Representation Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    133 cites at Semantic Scholar
    242% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, and Yu Huang:
    A Human Study of Comprehension and Code Summarization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    100 cites at Semantic Scholar
    157% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, and Zhi Jin:
    A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    82 cites at Semantic Scholar
    111% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Jianjun He, Ling Xu, Meng Yan, Xin Xia, and Yan Lei:
    Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    81 cites at Semantic Scholar
    108% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Thazin Win Win Aung, Huan Huo, and Yulei Sui:
    A Literature Review of Automatic Traceability Links Recovery for Software Change Impact Analysis.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    64 cites at Semantic Scholar
    65% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Jinglei Zhang, Rui Xie, Wei Ye, Yuhan Zhang, and Shikun Zhang:
    Exploiting Code Knowledge Graph for Bug Localization via Bi-Directional Attention.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    55 cites at Semantic Scholar
    42% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Norman Peitek, Janet Siegmund, and Sven Apel:
    What Drives the Reading Order of Programmers?: An Eye Tracking Study.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    51 cites at Semantic Scholar
    31% above average of year
    Visited: Sep-2026
    Paper: DOI
  9. 9
    Chunyang Ling, Zeqi Lin, Yanzhen Zou, and Bing Xie:
    Adaptive Deep Code Search.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    43 cites at Semantic Scholar
    11% above average of year
    Visited: Sep-2026
    Paper: DOI
  10. 10
    Valerio Terragni, Pasquale Salza, and Mauro Pezzè:
    Measuring Software Testability Modulo Test Quality.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    31 cites at Semantic Scholar
    -20% above average of year
    Visited: Sep-2026
    Paper: DOI
  11. 11
    Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, and Fabio Palomba:
    Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    27 cites at Semantic Scholar
    -31% above average of year
    Visited: Sep-2026
    Paper: DOI
  12. 12
    Zhifei Chen, Yanhui Li, Bihuan Chen, Wanwangying Ma, Lin Chen, and Baowen Xu:
    An Empirical Study on Dynamic Typing Related Practices in Python Systems.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    25 cites at Semantic Scholar
    -36% above average of year
    Visited: Sep-2026
    Paper: DOI
  13. 13
    Ana Carla Bibiano, Vinícius Soares, Daniel Coutinho, Eduardo Fernandes, João Lucas Correia, Kleber Santos, Anderson Oliveira, Alessandro Garcia, Rohit Gheyi, Baldoino Fonseca, Márcio Ribeiro, Caio Barbosa, and Daniel Oliveira:
    How Does Incomplete Composite Refactoring Affect Internal Quality Attributes?
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    22 cites at Semantic Scholar
    -43% above average of year
    Visited: Sep-2026
    Paper: DOI
  14. 14
    Maria Caulo, Bin Lin, Gabriele Bavota, Giuseppe Scanniello, and Michele Lanza:
    Knowledge Transfer in Modern Code Review.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    20 cites at Semantic Scholar
    -49% above average of year
    Visited: Sep-2026
    Paper: DOI
  15. 15
    Fengcai Wen, Csaba Nagy, Michele Lanza, and Gabriele Bavota:
    An Empirical Study of Quick Remedy Commits.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    18 cites at Semantic Scholar
    -54% above average of year
    Visited: Sep-2026
    Paper: DOI
  16. 16
    Leonardo da Silva Sousa, Willian Nalepa Oizumi, Alessandro Garcia, Anderson Oliveira, Diego Cedrim, and Carlos Lucena:
    When Are Smells Indicators of Architectural Refactoring Opportunities: A Study of 50 Software Projects.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    17 cites at Semantic Scholar
    -56% above average of year
    Visited: Sep-2026
    Paper: DOI
  17. 17
    Zejun Zhang, Minxue Pan, Tian Zhang, Xinyu Zhou, and Xuandong Li:
    Deep-Diving into Documentation to Develop Improved Java-to-Swift API Mapping.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    16 cites at Semantic Scholar
    -59% above average of year
    Visited: Sep-2026
    Paper: DOI
  18. 18
    Gina R. Bai, Joshua Kayani, and Kathryn T. Stolee:
    How Graduate Computing Students Search When Using an Unfamiliar Programming Language.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    15 cites at Semantic Scholar
    -61% above average of year
    Visited: Sep-2026
    Paper: DOI
  19. 19
    Mohammad Alahmadi, Abdulkarim Khormi, and Sonia Haiduc:
    UI Screens Identification and Extraction from Mobile Programming Screencasts.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI
  20. 20
    Saket Khatiwada, Miroslav Tushev, and Anas Mahmoud:
    On Combining IR Methods to Improve Bug Localization.
    IEEE/ACM International Conference on Program Comprehension (ICPC), 2020
    12 cites at Semantic Scholar
    -69% above average of year
    Visited: Sep-2026
    Paper: DOI

Tool Demonstrations ⌄

  1. 1
    Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, and Fabio Palomba:
    Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    40 cites at Semantic Scholar
    3% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, and Damian Andrew Tamburri:
    OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    24 cites at Semantic Scholar
    -38% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, and Andrea De Lucia:
    Refactoring Android-Specific Energy Smells: A Plugin for Android Studio.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    21 cites at Semantic Scholar
    -46% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ahmad Jbara, Or Shacham, Bar Ben Michael, and Omer Tavor:
    SimplyHover: Improving Comprehension of Else Statements.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    David Bowes, Jean Petric, and Tracy Hall:
    BugVis: Commit Slicing for Fault Visualisation.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Tool Demonstrations, 2020
    0 cites at Semantic Scholar
    -100% above average of year
    Visited: Sep-2026
    Paper: DOI

Early Research Achievements (ERA) ⌄

  1. 1
    Stefanus A. Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, and Lingxiao Jiang:
    Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    38 cites at Semantic Scholar
    -2% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Fazle Rabbi and Md. Saeed Siddik:
    Detecting Code Comment Inconsistency Using Siamese Recurrent Network.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    37 cites at Semantic Scholar
    -5% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    James Dominic, Brock Tubre, Jada Houser, Charles Ritter, Deborah Kunkel, and Paige Rodeghero:
    Program Comprehension in Virtual Reality.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    13 cites at Semantic Scholar
    -67% above average of year
    Visited: Sep-2026
    Paper: DOI
  4. 4
    Ashish Rajendra Sai, Conor Holmes, Jim Buckley, and Andrew Le Gear:
    Inheritance Software Metrics on Smart Contracts.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    8 cites at Semantic Scholar
    -79% above average of year
    Visited: Sep-2026
    Paper: DOI
  5. 5
    Tetsushi Kuma, Yoshiki Higo, Shinsuke Matsumoto, and Shinji Kusumoto:
    Improving the Accuracy of Spectrum-Based Fault Localization for Automated Program Repair.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  6. 6
    Akira Fujimoto, Yoshiki Higo, Junnosuke Matsumoto, and Shinji Kusumoto:
    Staged Tree Matching for Detecting Code Move Across Files.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI
  7. 7
    Toyomi Ishida, Hidetake Uwano, and Yoshiharu Ikutani:
    Combining Biometric Data with Focused Document Types Classifies a Success of Program Comprehension.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI
  8. 8
    Miroslav Tushev and Anas Mahmoud:
    Linguistic Documentation of Software History.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Early Research Achievements (ERA), 2020
    1 cites at Semantic Scholar
    -97% above average of year
    Visited: Sep-2026
    Paper: DOI

Industry ⌄

  1. 1
    John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, and Justin Spahr-Summers:
    Ownership at Large: Open Problems and Challenges in Ownership Management.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Industry, 2020
    6 cites at Semantic Scholar
    -85% above average of year
    Visited: Sep-2026
    Paper: DOI
  2. 2
    Ralf Lämmel, Alvin Kerber, and Liane Praza:
    Understanding What Software Engineers Are Working on: The Work-Item Prediction Challenge.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Industry, 2020
    4 cites at Semantic Scholar
    -90% above average of year
    Visited: Sep-2026
    Paper: DOI
  3. 3
    Darryl Jarman, Scott Hunt, and Dave Towey:
    Program Slicing and Execution Tracing for Differential Testing at Adobe Analytics.
    IEEE/ACM International Conference on Program Comprehension (ICPC): Industry, 2020
    2 cites at Semantic Scholar
    -95% above average of year
    Visited: Sep-2026
    Paper: DOI

Software Engineering Education and Training (SEET) ⌄

  1. 1
    Regina Hebig, Truong Ho-Quang, Rodi Jolak, Jan Schröder, Humberto Linero, Magnus Ågren, and Salome Honest Maro:
    How Do Students Experience and Judge Software Comprehension Techniques?
    IEEE/ACM International Conference on Program Comprehension (ICPC): Software Engineering Education and Training (SEET), 2020
    11 cites at Semantic Scholar
    -72% above average of year
    Visited: Sep-2026
    Paper: DOI