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Software Engineering Journal Papers from the 2020s

This webpage is an attempt to assemble a ranking of top-cited software engineering journal 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 journal papers of the 2020s normalized by age ⌄

  1. 1
    Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sung Hun Kim:
    A Survey on Large Language Models for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    957 cites at Semantic Scholar
    15691% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang:
    Large Language Models for Software Engineering: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    1010 cites at Semantic Scholar
    5183% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang:
    Software Testing With Large Language Models: Survey, Landscape, and Vision.
    IEEE Transactions on Software Engineering (TSE), 2024
    603 cites at Semantic Scholar
    3054% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Jia Li, Ge Li, Yongmin Li, and Zhi Jin:
    Structured Chain-of-Thought Prompting for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    326 cites at Semantic Scholar
    2936% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Jie M. Zhang, Mark Harman, Lei Ma, and Yang Liu:
    Machine Learning Testing: Survey, Landscapes and Horizons.
    IEEE Transactions on Software Engineering (TSE), 2022
    863 cites at Semantic Scholar
    2546% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip:
    An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation.
    IEEE Transactions on Software Engineering (TSE), 2024
    501 cites at Semantic Scholar
    2521% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li:
    Self-Collaboration Code Generation via ChatGPT.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    498 cites at Semantic Scholar
    2505% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Shuyin Ouyang, Jie M. Zhang, Mark Harman, and Meng Wang:
    An Empirical Study of the Non-Determinism of ChatGPT in Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    276 cites at Semantic Scholar
    2471% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, and Baishakhi Ray:
    Deep Learning Based Vulnerability Detection: Are We There Yet?
    IEEE Transactions on Software Engineering (TSE), 2022
    747 cites at Semantic Scholar
    2190% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Junda He, Christoph Treude, and David Lo:
    LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    228 cites at Semantic Scholar
    2024% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Zibin Zheng, Kaiwen Ning, Qingyuan Zhong, Jiachi Chen, Wenqing Chen, Lianghong Guo, Weicheng Wang, and Yanlin Wang:
    Towards an Understanding of Large Language Models in Software Engineering Tasks.
    Empirical Software Engineering (EMSE), 2025
    175 cites at Semantic Scholar
    1530% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, and Maverick Woo:
    The Art, Science, and Engineering of Fuzzing: A Survey.
    IEEE Transactions on Software Engineering (TSE), 2021
    601 cites at Semantic Scholar
    1342% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, and Baowen Xu:
    Smart Contract Development: Challenges and Opportunities.
    IEEE Transactions on Software Engineering (TSE), 2021
    593 cites at Semantic Scholar
    1323% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Dong Huang, Jie M. Zhang, Qingwen Bu, Xiaofei Xie, Junjie Chen, and Heming Cui:
    Bias Testing and Mitigation in LLM-Based Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    83 cites at Semantic Scholar
    1270% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Chong Chen, Jianzhong Su, Jiachi Chen, Tingting Bi, Jianxing Yu, Yanlin Wang, Xingwei Lin, Ting Chen, and Zibin Zheng:
    When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    145 cites at Semantic Scholar
    1251% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, and Martin Monperrus:
    SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2021
    535 cites at Semantic Scholar
    1184% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li, and Zhi Jin:
    CodeScore: Evaluating Code Generation by Learning Code Execution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    135 cites at Semantic Scholar
    1157% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Xin Zhou, Sicong Cao, Xiaobing Sun, and David Lo:
    Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    134 cites at Semantic Scholar
    1148% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Sebastian Baltes and Paul Ralph:
    Sampling in Software Engineering Research: A Critical Review and Guidelines.
    Empirical Software Engineering (EMSE), 2022
    399 cites at Semantic Scholar
    1123% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, and Wenpin Jiao:
    Self-Planning Code Generation with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    231 cites at Semantic Scholar
    1108% above average of year
    Visited: Jun-2026
    Paper: DOI

Most frequent authors in the 2020s top 100 ⌄

  1. 1
    David Lo
    12 papers in this ranking
  2. 2
    Xin Xia
    8 papers in this ranking
  3. 3
    Zhi Jin
    7 papers in this ranking
  4. 4
    Ge Li
    6 papers in this ranking
  5. 5
    Jie M. Zhang
    6 papers in this ranking
  6. 6
    Baishakhi Ray
    4 papers in this ranking
  7. 7
    Mark Harman
    4 papers in this ranking
  8. 8
    Martin Monperrus
    4 papers in this ranking
  9. 9
    Xiapu Luo
    4 papers in this ranking
  10. 10
    Yang Liu
    4 papers in this ranking
  11. 11
    Denys Poshyvanyk
    3 papers in this ranking
  12. 12
    Haoyu Wang
    3 papers in this ranking
  13. 13
    Jia Li
    3 papers in this ranking
  14. 14
    Jiachi Chen
    3 papers in this ranking
  15. 15
    Lei Ma
    3 papers in this ranking
  16. 16
    Xin Zhou
    3 papers in this ranking
  17. 17
    Xing Hu
    3 papers in this ranking
  18. 18
    Xue Jiang
    3 papers in this ranking
  19. 19
    Yihong Dong
    3 papers in this ranking
  20. 20
    Zhenpeng Chen
    3 papers in this ranking

Top journal papers from 2026 normalized by age ⌄

  1. 1
    Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sung Hun Kim:
    A Survey on Large Language Models for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    957 cites at Semantic Scholar
    15691% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Dong Huang, Jie M. Zhang, Qingwen Bu, Xiaofei Xie, Junjie Chen, and Heming Cui:
    Bias Testing and Mitigation in LLM-Based Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    83 cites at Semantic Scholar
    1270% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Martin Weyssow, Aton Kamanda, Xin Zhou, and Houari A. Sahraoui:
    CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    72 cites at Semantic Scholar
    1088% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Andreas Happe, Aaron Kaplan, and Jürgen Cito:
    LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks.
    Empirical Software Engineering (EMSE), 2026
    44 cites at Semantic Scholar
    626% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun, and Dan Pei:
    Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    43 cites at Semantic Scholar
    610% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Xiaoxia Liu, Qiang Liu, Peiyu Liu, Wenhai Wang, and Jingyi Wang:
    Agents4PLC: Automating Closed-Loop PLC Code Generation and Verification in Industrial Control Systems Using LLM-Based Agents.
    IEEE Transactions on Software Engineering (TSE), 2026
    39 cites at Semantic Scholar
    544% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, and Bram Adams:
    Output Format Biases in the Evaluation of Large Language Models for Code Translation.
    Empirical Software Engineering (EMSE), 2026
    39 cites at Semantic Scholar
    544% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, and Baishakhi Ray:
    C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques.
    IEEE Transactions on Software Engineering (TSE), 2026
    38 cites at Semantic Scholar
    527% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Ming Hu, Jie Zhang, Yang Liu, Shiqing Ma, and Chao Shen:
    JailGuard: A Universal Detection Framework for Prompt-Based Attacks on LLM Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    36 cites at Semantic Scholar
    494% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Junkai Chen, Zhenhao Li, Xing Hu, and Xin Xia:
    NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    32 cites at Semantic Scholar
    428% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Chen Yang, Junjie Chen, Bin Lin, Ziqi Wang, and Jianyi Zhou:
    Advancing Code Coverage: Incorporating Program Analysis with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    27 cites at Semantic Scholar
    346% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, and Yang Liu:
    Evaluating Large Language Models for Line-Level Vulnerability Localization.
    IEEE Transactions on Software Engineering (TSE), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, and Haoyu Wang:
    Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Boyang Yang, Haoye Tian, Jiadong Ren, Hongyu Zhang, Jacques Klein, Tegawendé F. Bissyandé, Claire Le Goues, and Shunfu Jin:
    MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Hanzhuo Tan, Qi Luo, Ling Jiang, Zizheng Zhan, Jing Li, Haotian Zhang, and Yuqun Zhang:
    Prompt-Based Code Completion via Multi-Retrieval Augmented Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    23 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng, and Michael R. Lyu:
    A Survey on Failure Analysis and Fault Injection in AI Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    23 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Taher Ahmed Ghaleb, Osamah Abduljalil, and Safwat Hassan:
    CI/CD Configuration Practices in Open Source Android Apps: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Andreas Happe and Jürgen Cito:
    Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Chao Ni, Xin Yin, Liyu Shen, and Shaohua Wang:
    Learning-Based Models for Vulnerability Detection: An Extensive Study.
    Empirical Software Engineering (EMSE), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Yanli Wang, Yanlin Wang, Suiquan Wang, Daya Guo, Jiachi Chen, John C. Grundy, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, and Zibin Zheng:
    RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation.
    IEEE Transactions on Software Engineering (TSE), 2026
    21 cites at Semantic Scholar
    247% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Xiaoxia Liu, Qiang Liu, Peiyu Liu, Wenhai Wang, and Jingyi Wang:
    Agents4PLC: Automating Closed-Loop PLC Code Generation and Verification in Industrial Control Systems Using LLM-Based Agents.
    IEEE Transactions on Software Engineering (TSE), 2026
    39 cites at Semantic Scholar
    544% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, and Baishakhi Ray:
    C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques.
    IEEE Transactions on Software Engineering (TSE), 2026
    38 cites at Semantic Scholar
    527% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, and Yang Liu:
    Evaluating Large Language Models for Line-Level Vulnerability Localization.
    IEEE Transactions on Software Engineering (TSE), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yanli Wang, Yanlin Wang, Suiquan Wang, Daya Guo, Jiachi Chen, John C. Grundy, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, and Zibin Zheng:
    RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation.
    IEEE Transactions on Software Engineering (TSE), 2026
    21 cites at Semantic Scholar
    247% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Fang Liu, Yang Liu, Lin Shi, Zhen Yang, Li Zhang, Xiaoli Lian, Zhongqi Li, and Yuchi Ma:
    Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code.
    IEEE Transactions on Software Engineering (TSE), 2026
    14 cites at Semantic Scholar
    131% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Sofia Bobadilla, Monica Jin, and Martin Monperrus:
    Do Automated Fixes Truly Mitigate Smart Contract Exploits?
    IEEE Transactions on Software Engineering (TSE), 2026
    11 cites at Semantic Scholar
    82% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, and Limin Sun:
    Vercation: Precise Vulnerable Open-Source Software Version Identification Based on Static Analysis and LLM.
    IEEE Transactions on Software Engineering (TSE), 2026
    9 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Jianming Chang, Xin Zhou, Lulu Wang, David Lo, and Bixin Li:
    Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2026
    8 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Yuxuan Chen, Mingwei Liu, Guangsheng Ou, Anji Li, Dekun Dai, Yanlin Wang, and Zibin Zheng:
    Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
    IEEE Transactions on Software Engineering (TSE), 2026
    7 cites at Semantic Scholar
    16% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Guancheng Wang, Qinghua Xu, Lionel C. Briand, and Kui Liu:
    Mutation-Guided Unit Test Generation With a Large Language Model.
    IEEE Transactions on Software Engineering (TSE), 2026
    6 cites at Semantic Scholar
    -1% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Bo Yang, Jiayi Dang, Huai Liu, and Zhi Jin:
    Advancing LLM-Generated Code Reliability: A Hybrid Approach for Hallucination Detection.
    IEEE Transactions on Software Engineering (TSE), 2026
    6 cites at Semantic Scholar
    -1% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Yueheng Zhu, Chao Liu, Xuan He, Xiaoxue Ren, Zhongxin Liu, Ruwei Pan, and Hongyu Zhang:
    AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation.
    IEEE Transactions on Software Engineering (TSE), 2026
    6 cites at Semantic Scholar
    -1% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Jing Gong, Yanghui Wu, Linxi Liang, Yanlin Wang, Jiachi Chen, Mingwei Liu, and Zibin Zheng:
    CoSQA+: Enhancing Code Search Evaluation With a Multi-Choice Benchmark and Test-Driven Agents.
    IEEE Transactions on Software Engineering (TSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Giovanni Quattrocchi, Liliana Pasquale, Paola Spoletini, and Luciano Baresi:
    Can LLMs Generate User Stories and Assess Their Quality?
    IEEE Transactions on Software Engineering (TSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Hamed Taherkhani, Jiho Shin, Muhammad Ammar Tahir, Md Rakib Hossain Misu, Vineet Sunil Gattani, and Hadi Hemmati:
    Toward Automated Validation of Language Model Synthesized Test Cases Using Semantic Entropy.
    IEEE Transactions on Software Engineering (TSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, and David Lo:
    Towards Secure Program Partitioning for Smart Contracts With LLM's In-Context Learning.
    IEEE Transactions on Software Engineering (TSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Shiwen Ou, Yuwei Li, Lu Yu, Chengkun Wei, Tingke Wen, Qiangpu Chen, Yu Chen, Haizhi Tang, and Zulie Pan:
    MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing.
    IEEE Transactions on Software Engineering (TSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Aman Sharma, Benoit Baudry, and Martin Monperrus:
    Causes and Canonicalization of Unreproducible Builds in Java.
    IEEE Transactions on Software Engineering (TSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, and Xiaoning Du:
    Identifying and Mitigating API Misuse in Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Roham Koohestani, Philippe de Bekker, Begüm Koç, and Maliheh Izadi:
    Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality.
    IEEE Transactions on Software Engineering (TSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sung Hun Kim:
    A Survey on Large Language Models for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    957 cites at Semantic Scholar
    15691% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Dong Huang, Jie M. Zhang, Qingwen Bu, Xiaofei Xie, Junjie Chen, and Heming Cui:
    Bias Testing and Mitigation in LLM-Based Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    83 cites at Semantic Scholar
    1270% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Martin Weyssow, Aton Kamanda, Xin Zhou, and Houari A. Sahraoui:
    CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    72 cites at Semantic Scholar
    1088% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun, and Dan Pei:
    Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    43 cites at Semantic Scholar
    610% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Ming Hu, Jie Zhang, Yang Liu, Shiqing Ma, and Chao Shen:
    JailGuard: A Universal Detection Framework for Prompt-Based Attacks on LLM Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    36 cites at Semantic Scholar
    494% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Junkai Chen, Zhenhao Li, Xing Hu, and Xin Xia:
    NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    32 cites at Semantic Scholar
    428% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Chen Yang, Junjie Chen, Bin Lin, Ziqi Wang, and Jianyi Zhou:
    Advancing Code Coverage: Incorporating Program Analysis with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    27 cites at Semantic Scholar
    346% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, and Haoyu Wang:
    Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Boyang Yang, Haoye Tian, Jiadong Ren, Hongyu Zhang, Jacques Klein, Tegawendé F. Bissyandé, Claire Le Goues, and Shunfu Jin:
    MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    26 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Hanzhuo Tan, Qi Luo, Ling Jiang, Zizheng Zhan, Jing Li, Haotian Zhang, and Yuqun Zhang:
    Prompt-Based Code Completion via Multi-Retrieval Augmented Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    23 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng, and Michael R. Lyu:
    A Survey on Failure Analysis and Fault Injection in AI Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    23 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Taher Ahmed Ghaleb, Osamah Abduljalil, and Safwat Hassan:
    CI/CD Configuration Practices in Open Source Android Apps: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Andreas Happe and Jürgen Cito:
    Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, and Jun Wei:
    PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    21 cites at Semantic Scholar
    247% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, and Bach Le:
    When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    20 cites at Semantic Scholar
    230% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zhou Yang, Jieke Shi, Premkumar T. Devanbu, and David Lo:
    Ecosystem of Large Language Models for Code.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    19 cites at Semantic Scholar
    214% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Seyed Shayan Daneshvar, Yu Nong, Xu Yang, Shaowei Wang, and Haipeng Cai:
    VulScribeR: Exploring RAG-Based Vulnerability Augmentation with LLMs.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    18 cites at Semantic Scholar
    197% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, and Daniel Russo:
    Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    17 cites at Semantic Scholar
    181% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Tao Li, Chenhui Cui, Rubing Huang, Dave Towey, and Lei Ma:
    Large Language Models for Automated Web-Form-Test Generation: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    17 cites at Semantic Scholar
    181% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Yuwei Zhang, Qingyuan Lu, Kai Liu, Wensheng Dou, Jiaxin Zhu, Li Qian, Chunxi Zhang, Zheng Lin, and Jun Wei:
    CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026
    15 cites at Semantic Scholar
    148% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Andreas Happe, Aaron Kaplan, and Jürgen Cito:
    LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks.
    Empirical Software Engineering (EMSE), 2026
    44 cites at Semantic Scholar
    626% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, and Bram Adams:
    Output Format Biases in the Evaluation of Large Language Models for Code Translation.
    Empirical Software Engineering (EMSE), 2026
    39 cites at Semantic Scholar
    544% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Chao Ni, Xin Yin, Liyu Shen, and Shaohua Wang:
    Learning-Based Models for Vulnerability Detection: An Extensive Study.
    Empirical Software Engineering (EMSE), 2026
    22 cites at Semantic Scholar
    263% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Junjie Li, Fazle Rabbi, Cheng Cheng, Aseem Sangalay, Yuan Tian, and Jinqiu Yang:
    An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation.
    Empirical Software Engineering (EMSE), 2026
    19 cites at Semantic Scholar
    214% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Agnia Sergeyuk, Ilya Zakharov, Ekaterina Koshchenko, and Maliheh Izadi:
    Human-AI Experience in Integrated Development Environments: A Systematic Literature Review.
    Empirical Software Engineering (EMSE), 2026
    12 cites at Semantic Scholar
    98% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Fazle Rabbi, Zishuo Ding, and Jinqiu Yang:
    A Multi-Language Perspective on the Robustness of LLM Code Generation.
    Empirical Software Engineering (EMSE), 2026
    11 cites at Semantic Scholar
    82% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Ramtin Ehsani, Sakshi Pathak, Esteban Parra, Sonia Haiduc, and Preetha Chatterjee:
    What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues.
    Empirical Software Engineering (EMSE), 2026
    9 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Ilham A. Qasse, Mohammad Hamdaqa, and Björn Þór Jónsson:
    Immutable in Principle, Upgradeable by Design: Exploratory Study of Smart Contract Upgradeability.
    Empirical Software Engineering (EMSE), 2026
    8 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Shaobo Zhang, Qianzhi Wang, Qin Liu, Entao Luo, and Tao Peng:
    VulTrLM: LLM-Assisted Vulnerability Detection via AST Decomposition and Comment Enhancement.
    Empirical Software Engineering (EMSE), 2026
    7 cites at Semantic Scholar
    16% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Qianhui Zhao, Li Zhang, Fang Liu, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li, Zian Sun, Zhongqi Li, and Yuchi Ma:
    Peer-Aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments.
    Empirical Software Engineering (EMSE), 2026
    6 cites at Semantic Scholar
    -1% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, and Mariano Ceccato:
    VLM-Fuzz: Vision Language Model Assisted Recursive Depth-First Search Exploration for Effective GUI Testing of Android Apps.
    Empirical Software Engineering (EMSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Md Nakhla Rafi, Lorena Barreto Simedo Pacheco, An Ran Chen, Jinqiu Yang, and Tse-Hsun Peter Chen:
    SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests.
    Empirical Software Engineering (EMSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Xiuwei Shang, Zhenkan Fu, Shaoyin Cheng, Guoqiang Chen, Gangyang Li, Li Hu, Wei Ming Zhang, and Nenghai Yu:
    An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding.
    Empirical Software Engineering (EMSE), 2026
    5 cites at Semantic Scholar
    -17% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Yogya Gamage, Deepika Tiwari, Martin Monperrus, and Benoit Baudry:
    The Design Space of Lockfiles Across Package Managers.
    Empirical Software Engineering (EMSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Francesco Salzano, Cosmo Kevin Antenucci, Simone Scalabrino, Giovanni Rosa, Rocco Oliveto, and Remo Pareschi:
    An Empirical Analysis of Vulnerability Detection Tools for Solidity Smart Contracts.
    Empirical Software Engineering (EMSE), 2026
    4 cites at Semantic Scholar
    -34% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon, and Jianjun Zhao:
    GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding.
    Empirical Software Engineering (EMSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Amirreza Esmaeili, Iman Saberi, and Fatemeh Hendijani Fard:
    Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R.
    Empirical Software Engineering (EMSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, and Michael R. Lyu:
    KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems.
    Empirical Software Engineering (EMSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Radowanul Haque, Aftab Ali, Sally I. McClean, and Naveed Khan:
    A Zero-Shot Framework for Cross-Project Vulnerability Detection in Source Code.
    Empirical Software Engineering (EMSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Dulaji Hidellaarachchi, John Grundy, Rashina Hoda, and Ingo Mueller:
    Understanding the Influence of Motivation on Requirements Engineering-Related Activities.
    Empirical Software Engineering (EMSE), 2026
    3 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2025 normalized by age ⌄

  1. 1
    Jia Li, Ge Li, Yongmin Li, and Zhi Jin:
    Structured Chain-of-Thought Prompting for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    326 cites at Semantic Scholar
    2936% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Shuyin Ouyang, Jie M. Zhang, Mark Harman, and Meng Wang:
    An Empirical Study of the Non-Determinism of ChatGPT in Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    276 cites at Semantic Scholar
    2471% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Junda He, Christoph Treude, and David Lo:
    LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    228 cites at Semantic Scholar
    2024% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Zibin Zheng, Kaiwen Ning, Qingyuan Zhong, Jiachi Chen, Wenqing Chen, Lianghong Guo, Weicheng Wang, and Yanlin Wang:
    Towards an Understanding of Large Language Models in Software Engineering Tasks.
    Empirical Software Engineering (EMSE), 2025
    175 cites at Semantic Scholar
    1530% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Chong Chen, Jianzhong Su, Jiachi Chen, Tingting Bi, Jianxing Yu, Yanlin Wang, Xingwei Lin, Ting Chen, and Zibin Zheng:
    When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    145 cites at Semantic Scholar
    1251% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li, and Zhi Jin:
    CodeScore: Evaluating Code Generation by Learning Code Execution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    135 cites at Semantic Scholar
    1157% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Xin Zhou, Sicong Cao, Xiaobing Sun, and David Lo:
    Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    134 cites at Semantic Scholar
    1148% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, and Giuliano Antoniol:
    Bugs in Large Language Models Generated Code: An Empirical Study.
    Empirical Software Engineering (EMSE), 2025
    110 cites at Semantic Scholar
    925% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Xiaodong Gu, Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, and Juhong Wang:
    On the Effectiveness of Large Language Models in Domain-Specific Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    107 cites at Semantic Scholar
    897% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    André Silva, Sen Fang, and Martin Monperrus:
    RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2025
    105 cites at Semantic Scholar
    878% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Sungmin Kang, Bei Chen, Shin Yoo, and Jian-Guang Lou:
    Explainable Automated Debugging via Large Language Model-Driven Scientific Debugging.
    Empirical Software Engineering (EMSE), 2025
    103 cites at Semantic Scholar
    859% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, and Houari A. Sahraoui:
    Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    93 cites at Semantic Scholar
    766% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Damiano Torre, Anitha Chennamaneni, JaeYun Jo, Gitika Vyas, and Brandon Sabrsula:
    Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    88 cites at Semantic Scholar
    720% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, and Fang Liu:
    Large Language Model-Aware In-Context Learning for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    84 cites at Semantic Scholar
    682% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Juan Manuel Murillo, José García-Alonso, Enrique Moguel, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez-Castillo, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, and Manuel Wimmer:
    Quantum Software Engineering: Roadmap and Challenges Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    83 cites at Semantic Scholar
    673% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, and Patanamon Thongtanunam:
    Automatic Programming: Large Language Models and Beyond.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    80 cites at Semantic Scholar
    645% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Yujia Fu, Peng Liang, Amjed Tahir, Zengyang Li, Mojtaba Shahin, Jiaxin Yu, and Jinfu Chen:
    Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    71 cites at Semantic Scholar
    561% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, and Xin Peng:
    Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    71 cites at Semantic Scholar
    561% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Catherine Tony, Nicolás E. Díaz Ferreyra, Markus Mutas, Salem Dhif, and Riccardo Scandariato:
    Prompting Techniques for Secure Code Generation: A Systematic Investigation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    66 cites at Semantic Scholar
    515% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Laurie A. Williams, Giacomo Benedetti, Sivana Hamer, Ranindya Paramitha, Imranur Rahman, Mahzabin Tamanna, Greg Tystahl, Nusrat Zahan, Patrick Morrison, Yasemin Acar, Michel Cukier, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, and William Enck:
    Research Directions in Software Supply Chain Security.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    63 cites at Semantic Scholar
    487% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    André Silva, Sen Fang, and Martin Monperrus:
    RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2025
    105 cites at Semantic Scholar
    878% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Mohamed Amine Ferrag, Ammar Ayman Battah, Norbert Tihanyi, Ridhi Jain, Diana Maimut, Fatima Alwahedi, Thierry Lestable, Narinderjit Singh Thandi, Abdechakour Mechri, Mérouane Debbah, and Lucas C. Cordeiro:
    SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection With LLMs?
    IEEE Transactions on Software Engineering (TSE), 2025
    50 cites at Semantic Scholar
    366% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, and Lei Ma:
    Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2025
    48 cites at Semantic Scholar
    347% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Lyuye Zhang, Kaixuan Li, Kairan Sun, Daoyuan Wu, Ye Liu, Haoye Tian, and Yang Liu:
    ACFix: Guiding LLMs With Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts.
    IEEE Transactions on Software Engineering (TSE), 2025
    48 cites at Semantic Scholar
    347% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, and Xiaoguang Mao:
    SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization.
    IEEE Transactions on Software Engineering (TSE), 2025
    31 cites at Semantic Scholar
    189% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zhiyuan Wei, Jing Sun, Yuqiang Sun, Ye Liu, Daoyuan Wu, Zijian Zhang, Xianhao Zhang, Meng Li, Yang Liu, Chunmiao Li, Mingchao Wan, Jin Dong, and Liehuang Zhu:
    Advanced Smart Contract Vulnerability Detection via LLM-Powered Multi-Agent Systems.
    IEEE Transactions on Software Engineering (TSE), 2025
    30 cites at Semantic Scholar
    179% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Giuseppe Crupi, Rosalia Tufano, Alejandro Velasco, Antonio Mastropaolo, Denys Poshyvanyk, and Gabriele Bavota:
    On the Effectiveness of LLM-as-a-Judge for Code Generation and Summarization.
    IEEE Transactions on Software Engineering (TSE), 2025
    28 cites at Semantic Scholar
    161% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Ranim Khojah, Francisco Gomes de Oliveira Neto, Mazen Mohamad, and Philipp Leitner:
    The Impact of Prompt Programming on Function-Level Code Generation.
    IEEE Transactions on Software Engineering (TSE), 2025
    28 cites at Semantic Scholar
    161% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, and Philip S. Yu:
    Can Large Language Models Serve as Evaluators for Code Summarization?
    IEEE Transactions on Software Engineering (TSE), 2025
    22 cites at Semantic Scholar
    105% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Ahmadreza Saboor Yaraghi, Darren Holden, Nafiseh Kahani, and Lionel C. Briand:
    Automated Test Case Repair Using Language Models.
    IEEE Transactions on Software Engineering (TSE), 2025
    22 cites at Semantic Scholar
    105% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Chuyan Ge, Tiantian Wang, Xiaotian Yang, and Christoph Treude:
    Cross-Level Requirements Tracing Based on Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2025
    21 cites at Semantic Scholar
    96% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, and David Lo:
    FlexFL: Flexible and Effective Fault Localization With Open-Source Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2025
    21 cites at Semantic Scholar
    96% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Kai Huang, Jian Zhang, Xinlei Bao, Xu Wang, and Yang Liu:
    Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2025
    20 cites at Semantic Scholar
    86% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Ishrak Hayet, Adam Scott, and Marcelo d'Amorim:
    ChatAssert: LLM-Based Test Oracle Generation With External Tools Assistance.
    IEEE Transactions on Software Engineering (TSE), 2025
    19 cites at Semantic Scholar
    77% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Zexu Wang, Jiachi Chen, Peilin Zheng, Yu Zhang, Weizhe Zhang, and Zibin Zheng:
    Unity Is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools.
    IEEE Transactions on Software Engineering (TSE), 2025
    19 cites at Semantic Scholar
    77% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Pengzhou Chen, Jingzhi Gong, and Tao Chen:
    Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning.
    IEEE Transactions on Software Engineering (TSE), 2025
    18 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Jiachi Chen, Zhenzhe Shao, Shuo Yang, Yiming Shen, Yanlin Wang, Ting Chen, Zhenyu Shan, and Zibin Zheng:
    NumScout: Unveiling Numerical Defects in Smart Contracts Using LLM-Pruning Symbolic Execution.
    IEEE Transactions on Software Engineering (TSE), 2025
    18 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    José Antonio Hernández López, Boqi Chen, Mootez Saad, Tushar Sharma, and Dániel Varró:
    On Inter-Dataset Code Duplication and Data Leakage in Large Language Models.
    IEEE Transactions on Software Engineering (TSE), 2025
    18 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, and S. Ramesh:
    SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents.
    IEEE Transactions on Software Engineering (TSE), 2025
    17 cites at Semantic Scholar
    58% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Mengting He, Shihao Xia, Boqin Qin, Nobuko Yoshida, Tingting Yu, Yiying Zhang, and Linhai Song:
    How to Save My Gas Fees: Understanding and Detecting Real-World Gas Issues in Solidity Programs.
    IEEE Transactions on Software Engineering (TSE), 2025
    16 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Jia Li, Ge Li, Yongmin Li, and Zhi Jin:
    Structured Chain-of-Thought Prompting for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    326 cites at Semantic Scholar
    2936% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Shuyin Ouyang, Jie M. Zhang, Mark Harman, and Meng Wang:
    An Empirical Study of the Non-Determinism of ChatGPT in Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    276 cites at Semantic Scholar
    2471% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Junda He, Christoph Treude, and David Lo:
    LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    228 cites at Semantic Scholar
    2024% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Chong Chen, Jianzhong Su, Jiachi Chen, Tingting Bi, Jianxing Yu, Yanlin Wang, Xingwei Lin, Ting Chen, and Zibin Zheng:
    When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    145 cites at Semantic Scholar
    1251% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li, and Zhi Jin:
    CodeScore: Evaluating Code Generation by Learning Code Execution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    135 cites at Semantic Scholar
    1157% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Xin Zhou, Sicong Cao, Xiaobing Sun, and David Lo:
    Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    134 cites at Semantic Scholar
    1148% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Xiaodong Gu, Meng Chen, Yalan Lin, Yuhan Hu, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, and Juhong Wang:
    On the Effectiveness of Large Language Models in Domain-Specific Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    107 cites at Semantic Scholar
    897% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, and Houari A. Sahraoui:
    Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    93 cites at Semantic Scholar
    766% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Damiano Torre, Anitha Chennamaneni, JaeYun Jo, Gitika Vyas, and Brandon Sabrsula:
    Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    88 cites at Semantic Scholar
    720% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, and Fang Liu:
    Large Language Model-Aware In-Context Learning for Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    84 cites at Semantic Scholar
    682% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Juan Manuel Murillo, José García-Alonso, Enrique Moguel, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez-Castillo, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, and Manuel Wimmer:
    Quantum Software Engineering: Roadmap and Challenges Ahead.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    83 cites at Semantic Scholar
    673% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, and Patanamon Thongtanunam:
    Automatic Programming: Large Language Models and Beyond.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    80 cites at Semantic Scholar
    645% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Yujia Fu, Peng Liang, Amjed Tahir, Zengyang Li, Mojtaba Shahin, Jiaxin Yu, and Jinfu Chen:
    Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    71 cites at Semantic Scholar
    561% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, and Xin Peng:
    Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    71 cites at Semantic Scholar
    561% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Catherine Tony, Nicolás E. Díaz Ferreyra, Markus Mutas, Salem Dhif, and Riccardo Scandariato:
    Prompting Techniques for Secure Code Generation: A Systematic Investigation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    66 cites at Semantic Scholar
    515% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Laurie A. Williams, Giacomo Benedetti, Sivana Hamer, Ranindya Paramitha, Imranur Rahman, Mahzabin Tamanna, Greg Tystahl, Nusrat Zahan, Patrick Morrison, Yasemin Acar, Michel Cukier, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, and William Enck:
    Research Directions in Software Supply Chain Security.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    63 cites at Semantic Scholar
    487% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Shenao Wang, Yanjie Zhao, Xinyi Hou, and Haoyu Wang:
    Large Language Model Supply Chain: A Research Agenda.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    62 cites at Semantic Scholar
    477% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Valerio Terragni, Annie Vella, Partha S. Roop, and Kelly Blincoe:
    The Future of AI-Driven Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    56 cites at Semantic Scholar
    422% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Xiang Chen, Chaoyang Gao, Chunyang Chen, Guangbei Zhang, and Yong Liu:
    An Empirical Study on Challenges for LLM Application Developers.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    55 cites at Semantic Scholar
    412% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, and Shanping Li:
    Exploring the Capabilities of LLMs for Code-Change-Related Tasks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
    53 cites at Semantic Scholar
    394% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Zibin Zheng, Kaiwen Ning, Qingyuan Zhong, Jiachi Chen, Wenqing Chen, Lianghong Guo, Weicheng Wang, and Yanlin Wang:
    Towards an Understanding of Large Language Models in Software Engineering Tasks.
    Empirical Software Engineering (EMSE), 2025
    175 cites at Semantic Scholar
    1530% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, and Giuliano Antoniol:
    Bugs in Large Language Models Generated Code: An Empirical Study.
    Empirical Software Engineering (EMSE), 2025
    110 cites at Semantic Scholar
    925% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Sungmin Kang, Bei Chen, Shin Yoo, and Jian-Guang Lou:
    Explainable Automated Debugging via Large Language Model-Driven Scientific Debugging.
    Empirical Software Engineering (EMSE), 2025
    103 cites at Semantic Scholar
    859% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, and Lucas C. Cordeiro:
    How Secure Is AI-Generated Code: A Large-Scale Comparison of Large Language Models.
    Empirical Software Engineering (EMSE), 2025
    49 cites at Semantic Scholar
    356% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Jaemin Hong and Sukyoung Ryu:
    Type-Migrating C-to-Rust Translation Using a Large Language Model.
    Empirical Software Engineering (EMSE), 2025
    26 cites at Semantic Scholar
    142% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Amirali Sajadi, Binh Le, Anh Nguyen, Kostadin Damevski, and Preetha Chatterjee:
    Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions.
    Empirical Software Engineering (EMSE), 2025
    25 cites at Semantic Scholar
    133% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, and Darko Durisic:
    Design Pattern Recognition: A Study of Large Language Models.
    Empirical Software Engineering (EMSE), 2025
    23 cites at Semantic Scholar
    114% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Shabnam Hassani, Mehrdad Sabetzadeh, and Daniel Amyot:
    An Empirical Study on LLM-Based Classification of Requirements-Related Provisions in Food-Safety Regulations.
    Empirical Software Engineering (EMSE), 2025
    22 cites at Semantic Scholar
    105% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, and Tegawendé F. Bissyandé:
    Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports.
    Empirical Software Engineering (EMSE), 2025
    22 cites at Semantic Scholar
    105% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Ahmed Fawzy, Amjed Tahir, Matthias Galster, and Peng Liang:
    Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey.
    Empirical Software Engineering (EMSE), 2025
    19 cites at Semantic Scholar
    77% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Mohannad Alhanahnah, Md Rashedul Hasan, Lisong Xu, and Hamid Bagheri:
    An Empirical Evaluation of Pre-Trained Large Language Models for Repairing Declarative Formal Specifications.
    Empirical Software Engineering (EMSE), 2025
    18 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Margaret-Anne D. Storey, Rashina Hoda, Alessandra Maciel Paz Milani, and Maria Teresa Baldassarre:
    Guiding Principles for Mixed Methods Research in Software Engineering.
    Empirical Software Engineering (EMSE), 2025
    18 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, and Ahmed E. Hassan:
    Towards Semantic Versioning of Open Pre-Trained Language Model Releases on Hugging Face.
    Empirical Software Engineering (EMSE), 2025
    17 cites at Semantic Scholar
    58% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Povilas Godliauskas and Darja Smite:
    The Well-Being of Software Engineers: A Systematic Literature Review and a Theory.
    Empirical Software Engineering (EMSE), 2025
    17 cites at Semantic Scholar
    58% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Francesco Minna, Fabio Massacci, and Katja Tuma:
    Analyzing and Mitigating (with LLMs) the Security Misconfigurations of Helm Charts from Artifact Hub.
    Empirical Software Engineering (EMSE), 2025
    17 cites at Semantic Scholar
    58% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Adem Ait, Javier Luis Cánovas Izquierdo, and Jordi Cabot:
    On the Suitability of Hugging Face Hub for Empirical Studies.
    Empirical Software Engineering (EMSE), 2025
    16 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Alina Mailach, Dominik Gorgosch, Norbert Siegmund, and Janet Siegmund:
    "Ok Pal, We Have to Code That Now": Interaction Patterns of Programming Beginners with a Conversational Chatbot.
    Empirical Software Engineering (EMSE), 2025
    16 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Yijun Shen, Xiang Gao, Hailong Sun, and Yu Guo:
    Understanding Vulnerabilities in Software Supply Chains.
    Empirical Software Engineering (EMSE), 2025
    16 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Eñaut Mendiluze Usandizaga, Shaukat Ali, Tao Yue, and Paolo Arcaini:
    Quantum Circuit Mutants: Empirical Analysis and Recommendations.
    Empirical Software Engineering (EMSE), 2025
    16 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Sadaf Azimi, Ali Golzari, Naghmeh Ivaki, and Nuno Laranjeiro:
    A Systematic Review on Smart Contracts Security Design Patterns.
    Empirical Software Engineering (EMSE), 2025
    15 cites at Semantic Scholar
    40% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2024 normalized by age ⌄

  1. 1
    Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang:
    Large Language Models for Software Engineering: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    1010 cites at Semantic Scholar
    5183% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang:
    Software Testing With Large Language Models: Survey, Landscape, and Vision.
    IEEE Transactions on Software Engineering (TSE), 2024
    603 cites at Semantic Scholar
    3054% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip:
    An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation.
    IEEE Transactions on Software Engineering (TSE), 2024
    501 cites at Semantic Scholar
    2521% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li:
    Self-Collaboration Code Generation via ChatGPT.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    498 cites at Semantic Scholar
    2505% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, and Wenpin Jiao:
    Self-Planning Code Generation with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    231 cites at Semantic Scholar
    1108% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, and David Lo:
    Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    230 cites at Semantic Scholar
    1103% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Daniel Russo:
    Navigating the Complexity of Generative AI Adoption in Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    217 cites at Semantic Scholar
    1035% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Zhijie Liu, Yutian Tang, Xiapu Luo, Yuming Zhou, and Liang Feng Zhang:
    No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT.
    IEEE Transactions on Software Engineering (TSE), 2024
    150 cites at Semantic Scholar
    685% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, and Federica Sarro:
    Fairness Testing: A Comprehensive Survey and Analysis of Trends.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    141 cites at Semantic Scholar
    638% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, and Shuvendu K. Lahiri:
    LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation.
    IEEE Transactions on Software Engineering (TSE), 2024
    116 cites at Semantic Scholar
    507% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun, and Zhenyu Chen:
    A Survey of Learning-Based Automated Program Repair.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    106 cites at OpenAlex
    455% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Yutian Tang, Zhijie Liu, Zhichao Zhou, and Xiapu Luo:
    ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation.
    IEEE Transactions on Software Engineering (TSE), 2024
    101 cites at Semantic Scholar
    428% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo:
    Stealthy Backdoor Attack for Code Models.
    IEEE Transactions on Software Engineering (TSE), 2024
    99 cites at Semantic Scholar
    418% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Amid Golmohammadi, Man Zhang, and Andrea Arcuri:
    Testing RESTful APIs: A Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    95 cites at Semantic Scholar
    397% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Xin Yin, Chao Ni, and Shaohua Wang:
    Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability.
    IEEE Transactions on Software Engineering (TSE), 2024
    87 cites at Semantic Scholar
    355% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, and Taolue Chen:
    Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.
    IEEE Transactions on Software Engineering (TSE), 2024
    74 cites at Semantic Scholar
    287% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, and Qinghua Lu:
    Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    70 cites at Semantic Scholar
    266% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, and John C. Grundy:
    AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities.
    Empirical Software Engineering (EMSE), 2024
    67 cites at Semantic Scholar
    250% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, and Mingxi Ye:
    DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.
    IEEE Transactions on Software Engineering (TSE), 2024
    65 cites at Semantic Scholar
    240% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, and Burak Turhan:
    Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    63 cites at Semantic Scholar
    230% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang:
    Software Testing With Large Language Models: Survey, Landscape, and Vision.
    IEEE Transactions on Software Engineering (TSE), 2024
    603 cites at Semantic Scholar
    3054% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip:
    An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation.
    IEEE Transactions on Software Engineering (TSE), 2024
    501 cites at Semantic Scholar
    2521% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Zhijie Liu, Yutian Tang, Xiapu Luo, Yuming Zhou, and Liang Feng Zhang:
    No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT.
    IEEE Transactions on Software Engineering (TSE), 2024
    150 cites at Semantic Scholar
    685% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, and Shuvendu K. Lahiri:
    LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation.
    IEEE Transactions on Software Engineering (TSE), 2024
    116 cites at Semantic Scholar
    507% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Yutian Tang, Zhijie Liu, Zhichao Zhou, and Xiapu Luo:
    ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation.
    IEEE Transactions on Software Engineering (TSE), 2024
    101 cites at Semantic Scholar
    428% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo:
    Stealthy Backdoor Attack for Code Models.
    IEEE Transactions on Software Engineering (TSE), 2024
    99 cites at Semantic Scholar
    418% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Xin Yin, Chao Ni, and Shaohua Wang:
    Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability.
    IEEE Transactions on Software Engineering (TSE), 2024
    87 cites at Semantic Scholar
    355% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, and Taolue Chen:
    Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.
    IEEE Transactions on Software Engineering (TSE), 2024
    74 cites at Semantic Scholar
    287% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, and Mingxi Ye:
    DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.
    IEEE Transactions on Software Engineering (TSE), 2024
    65 cites at Semantic Scholar
    240% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, and Gabriele Bavota:
    Code Review Automation: Strengths and Weaknesses of the State of the Art.
    IEEE Transactions on Software Engineering (TSE), 2024
    56 cites at Semantic Scholar
    193% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Yuxia Zhang, Zhiqing Qiu, Klaas-Jan Stol, Wenhui Zhu, Jiaxin Zhu, Yingchen Tian, and Hui Liu:
    Automatic Commit Message Generation: A Critical Review and Directions for Future Work.
    IEEE Transactions on Software Engineering (TSE), 2024
    49 cites at Semantic Scholar
    156% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, and Xinyu Wang:
    Vulnerability Detection via Multiple-Graph-Based Code Representation.
    IEEE Transactions on Software Engineering (TSE), 2024
    47 cites at Semantic Scholar
    146% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Dianshu Liao, Shidong Pan, Xiaoyu Sun, Xiaoxue Ren, Qing Huang, Zhenchang Xing, Huan Jin, and Qinying Li:
    $\mathbf{A{3}}$A3-CodGen: A Repository-Level Code Generation Framework for Code Reuse With Local-Aware, Global-Aware, and Third-Party-Library-Aware.
    IEEE Transactions on Software Engineering (TSE), 2024
    42 cites at Semantic Scholar
    120% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Pengyu Xue, Linhao Wu, Zhongxing Yu, Zhi Jin, Zhen Yang, Xinyi Li, Zhenyu Yang, and Yue Tan:
    Automated Commit Message Generation With Large Language Models: An Empirical Study and Beyond.
    IEEE Transactions on Software Engineering (TSE), 2024
    38 cites at Semantic Scholar
    99% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, and Xin Xia:
    Fight Fire With Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
    IEEE Transactions on Software Engineering (TSE), 2024
    38 cites at Semantic Scholar
    99% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Jean Baptiste Minani, Fatima Sabir, Naouel Moha, and Yann-Gaël Guéhéneuc:
    A Systematic Review of IoT Systems Testing: Objectives, Approaches, Tools, and Challenges.
    IEEE Transactions on Software Engineering (TSE), 2024
    36 cites at Semantic Scholar
    88% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Sakina Fatima, Hadi Hemmati, and Lionel C. Briand:
    FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair.
    IEEE Transactions on Software Engineering (TSE), 2024
    34 cites at Semantic Scholar
    78% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Zimin Chen, Sen Fang, and Martin Monperrus:
    Supersonic: Learning to Generate Source Code Optimizations in C/C++.
    IEEE Transactions on Software Engineering (TSE), 2024
    33 cites at Semantic Scholar
    73% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, and Shin Yoo:
    Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction.
    IEEE Transactions on Software Engineering (TSE), 2024
    32 cites at Semantic Scholar
    67% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, and Xuan Wang:
    Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
    IEEE Transactions on Software Engineering (TSE), 2024
    32 cites at Semantic Scholar
    67% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang:
    Large Language Models for Software Engineering: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    1010 cites at Semantic Scholar
    5183% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li:
    Self-Collaboration Code Generation via ChatGPT.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    498 cites at Semantic Scholar
    2505% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, and Wenpin Jiao:
    Self-Planning Code Generation with Large Language Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    231 cites at Semantic Scholar
    1108% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, and David Lo:
    Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    230 cites at Semantic Scholar
    1103% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Daniel Russo:
    Navigating the Complexity of Generative AI Adoption in Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    217 cites at Semantic Scholar
    1035% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, and Federica Sarro:
    Fairness Testing: A Comprehensive Survey and Analysis of Trends.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    141 cites at Semantic Scholar
    638% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun, and Zhenyu Chen:
    A Survey of Learning-Based Automated Program Repair.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    106 cites at OpenAlex
    455% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Amid Golmohammadi, Man Zhang, and Andrea Arcuri:
    Testing RESTful APIs: A Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    95 cites at Semantic Scholar
    397% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, and Qinghua Lu:
    Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    70 cites at Semantic Scholar
    266% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Aastha Pant, Rashina Hoda, Simone V. Spiegler, Chakkrit Tantithamthavorn, and Burak Turhan:
    Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    63 cites at Semantic Scholar
    230% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, and Zhi Jin:
    AceCoder: An Effective Prompting Technique Specialized in Code Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    60 cites at Semantic Scholar
    214% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Johan Cederbladh, Antonio Cicchetti, and Jagadish Suryadevara:
    Early Validation and Verification of System Behaviour in Model-Based Systems Engineering: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    58 cites at Semantic Scholar
    203% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Shouguo Yang, Chaopeng Dong, Yang Xiao, Yiran Cheng, Zhiqiang Shi, Zhi Li, and Limin Sun:
    Asteria-Pro: Enhancing Deep Learning-Based Binary Code Similarity Detection by Incorporating Domain Knowledge.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    56 cites at Semantic Scholar
    193% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Yudu You, Tingxu Han, Yifei Ge, Yuling Hu, Bin Luo, and Zhenyu Chen:
    An Extractive-and-Abstractive Framework for Source Code Summarization.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    51 cites at Semantic Scholar
    167% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, and Yang Liu:
    Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    48 cites at Semantic Scholar
    151% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, and Li Li:
    On the Reliability and Explainability of Language Models for Program Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    47 cites at Semantic Scholar
    146% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, and Trung Le:
    Vision Transformer Inspired Automated Vulnerability Repair.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    43 cites at Semantic Scholar
    125% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, and Xin Xia:
    Poison Attack and Poison Detection on Deep Source Code Processing Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    42 cites at Semantic Scholar
    120% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, and Liming Zhu:
    On the Way to SBOMs: Investigating Design Issues and Solutions in Practice.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    41 cites at Semantic Scholar
    114% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Matteo Biagiola and Paolo Tonella:
    Testing of Deep Reinforcement Learning Agents with Surrogate Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
    38 cites at Semantic Scholar
    99% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, and John C. Grundy:
    AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities.
    Empirical Software Engineering (EMSE), 2024
    67 cites at Semantic Scholar
    250% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, and Giuliano Antoniol:
    Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow.
    Empirical Software Engineering (EMSE), 2024
    61 cites at Semantic Scholar
    219% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba, and Andrea De Lucia:
    Fairness-Aware Machine Learning Engineering: How Far Are We?
    Empirical Software Engineering (EMSE), 2024
    56 cites at Semantic Scholar
    193% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, and Lionel C. Briand:
    Impact of Log Parsing on Deep Learning-Based Anomaly Detection.
    Empirical Software Engineering (EMSE), 2024
    41 cites at Semantic Scholar
    114% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, and Zhen Ming (Jack) Jiang:
    Bug Characterization in Machine Learning-Based Systems.
    Empirical Software Engineering (EMSE), 2024
    39 cites at Semantic Scholar
    104% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Asif Kamal Turzo and Amiangshu Bosu:
    What Makes a Code Review Useful to OpenDev Developers? An Empirical Investigation.
    Empirical Software Engineering (EMSE), 2024
    37 cites at Semantic Scholar
    94% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Fernando Richter Vidal, Naghmeh Ivaki, and Nuno Laranjeiro:
    OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities.
    Empirical Software Engineering (EMSE), 2024
    32 cites at Semantic Scholar
    67% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Quang-Cuong Bui, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci, and Riccardo Scandariato:
    APR4Vul: An Empirical Study of Automatic Program Repair Techniques on Real-World Java Vulnerabilities.
    Empirical Software Engineering (EMSE), 2024
    31 cites at Semantic Scholar
    62% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, and James C. Davis:
    Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision.
    Empirical Software Engineering (EMSE), 2024
    31 cites at Semantic Scholar
    62% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, and Ahmed E. Hassan:
    An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.
    Empirical Software Engineering (EMSE), 2024
    30 cites at Semantic Scholar
    57% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, and Fabio Palomba:
    Machine Learning-Based Test Smell Detection.
    Empirical Software Engineering (EMSE), 2024
    26 cites at Semantic Scholar
    36% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Lukas Schulte, Benjamin Ledel, and Steffen Herbold:
    Studying the Explanations for the Automated Prediction of Bug and Non-Bug Issues Using LIME and SHAP.
    Empirical Software Engineering (EMSE), 2024
    25 cites at Semantic Scholar
    31% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, and Burak Turhan:
    Ethics in AI Through the Practitioner's View: A Grounded Theory Literature Review.
    Empirical Software Engineering (EMSE), 2024
    23 cites at Semantic Scholar
    20% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, and Bowen Xu:
    An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification.
    Empirical Software Engineering (EMSE), 2024
    23 cites at Semantic Scholar
    20% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, and Paolo Tonella:
    Two Is Better than One: Digital Siblings to Improve Autonomous Driving Testing.
    Empirical Software Engineering (EMSE), 2024
    22 cites at Semantic Scholar
    15% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Majd Soud, Grischa Liebel, and Mohammad Hamdaqa:
    A Fly in the Ointment: An Empirical Study on the Characteristics of Ethereum Smart Contract Code Weaknesses.
    Empirical Software Engineering (EMSE), 2024
    22 cites at Semantic Scholar
    15% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Roger Creus Castanyer, Silverio Martínez-Fernández, and Xavier Franch:
    Which Design Decisions in AI-Enabled Mobile Applications Contribute to Greener AI?
    Empirical Software Engineering (EMSE), 2024
    21 cites at Semantic Scholar
    10% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Rahul Bajaj, Eduardo Fernandes, Bram Adams, and Ahmed E. Hassan:
    Unreproducible Builds: Time to Fix, Causes, and Correlation with External Ecosystem Factors.
    Empirical Software Engineering (EMSE), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Emitzá Guzmán, Ricarda Anna-Lena Fischer, and Janey Kok:
    Mind the Gap: Gender, Micro-Inequities and Barriers in Software Development.
    Empirical Software Engineering (EMSE), 2024
    20 cites at OpenAlex
    5% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Max Hort, Jie M. Zhang, Federica Sarro, and Mark Harman:
    Search-Based Automatic Repair for Fairness and Accuracy in Decision-Making Software.
    Empirical Software Engineering (EMSE), 2024
    20 cites at Semantic Scholar
    5% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2023 normalized by age ⌄

  1. 1
    Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, and Abhinav Jangda:
    MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.
    IEEE Transactions on Software Engineering (TSE), 2023
    265 cites at Semantic Scholar
    1098% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Zimin Chen, Steve Kommrusch, and Martin Monperrus:
    Neural Transfer Learning for Repairing Security Vulnerabilities in C Code.
    IEEE Transactions on Software Engineering (TSE), 2023
    181 cites at Semantic Scholar
    718% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Mahmoud Alfadel, Diego Elias Costa, and Emad Shihab:
    Empirical Analysis of Security Vulnerabilities in Python Packages.
    Empirical Software Engineering (EMSE), 2023
    168 cites at Semantic Scholar
    660% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Owura Asare, Meiyappan Nagappan, and N. Asokan:
    Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
    Empirical Software Engineering (EMSE), 2023
    162 cites at Semantic Scholar
    632% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Gyte Tamasauskaite and Paul Groth:
    Defining a Knowledge Graph Development Process Through a Systematic Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    157 cites at Semantic Scholar
    610% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Shuncheng Tang, Zhenya Zhang, Yi Zhang, Jixiang Zhou, Yan Guo, Shuang Liu, Shengjian Guo, Yan-Fu Li, Lei Ma, Yinxing Xue, and Yang Liu:
    A Survey on Automated Driving System Testing: Landscapes and Trends.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    150 cites at Semantic Scholar
    578% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, and Michael R. Lyu:
    Code Structure-Guided Transformer for Source Code Summarization.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    131 cites at Semantic Scholar
    492% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, and Hermann Felbinger:
    Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study.
    IEEE Transactions on Software Engineering (TSE), 2023
    130 cites at Semantic Scholar
    488% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Barbara A. Kitchenham, Lech Madeyski, and David Budgen:
    SEGRESS: Software Engineering Guidelines for REporting Secondary Studies.
    IEEE Transactions on Software Engineering (TSE), 2023
    124 cites at Semantic Scholar
    461% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Jinfeng Wen, Zhenpeng Chen, Xin Jin, and Xuanzhe Liu:
    Rise of the Planet of Serverless Computing: A Systematic Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    122 cites at Semantic Scholar
    452% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Ziyuan Zhong, Gail E. Kaiser, and Baishakhi Ray:
    Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.
    IEEE Transactions on Software Engineering (TSE), 2023
    111 cites at Semantic Scholar
    402% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Chanathip Pornprasit and Chakkrit Kla Tantithamthavorn:
    DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2023
    110 cites at Semantic Scholar
    397% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Junjie Chen, Yihua Liang, Qingchao Shen, Jiajun Jiang, and Shuochuan Li:
    Toward Understanding Deep Learning Framework Bugs.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    109 cites at Semantic Scholar
    393% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Andrea Stocco, Brian Pulfer, and Paolo Tonella:
    Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems.
    IEEE Transactions on Software Engineering (TSE), 2023
    108 cites at Semantic Scholar
    388% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, and Yongdae Kim:
    Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned.
    IEEE Transactions on Software Engineering (TSE), 2023
    106 cites at Semantic Scholar
    379% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, and Mark Harman:
    A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    106 cites at Semantic Scholar
    379% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Yalemisew M. Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul M. Clarke:
    Decomposition of Monolith Applications Into Microservices Architectures: A Systematic Review.
    IEEE Transactions on Software Engineering (TSE), 2023
    102 cites at Semantic Scholar
    361% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Akond Rahman, Shazibul Islam Shamim, Dibyendu Brinto Bose, and Rahul Pandita:
    Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    96 cites at Semantic Scholar
    334% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Zohreh Aghababaeyan, Manel Abdellatif, Lionel C. Briand, Ramesh S., and Mojtaba Bagherzadeh:
    Black-Box Testing of Deep Neural Networks Through Test Case Diversity.
    IEEE Transactions on Software Engineering (TSE), 2023
    95 cites at Semantic Scholar
    330% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Orlando Amaral Cejas, Muhammad Ilyas Azeem, Sallam Abualhaija, and Lionel C. Briand:
    NLP-Based Automated Compliance Checking of Data Processing Agreements Against GDPR.
    IEEE Transactions on Software Engineering (TSE), 2023
    90 cites at Semantic Scholar
    307% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, and Abhinav Jangda:
    MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation.
    IEEE Transactions on Software Engineering (TSE), 2023
    265 cites at Semantic Scholar
    1098% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Zimin Chen, Steve Kommrusch, and Martin Monperrus:
    Neural Transfer Learning for Repairing Security Vulnerabilities in C Code.
    IEEE Transactions on Software Engineering (TSE), 2023
    181 cites at Semantic Scholar
    718% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, and Hermann Felbinger:
    Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study.
    IEEE Transactions on Software Engineering (TSE), 2023
    130 cites at Semantic Scholar
    488% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Barbara A. Kitchenham, Lech Madeyski, and David Budgen:
    SEGRESS: Software Engineering Guidelines for REporting Secondary Studies.
    IEEE Transactions on Software Engineering (TSE), 2023
    124 cites at Semantic Scholar
    461% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Ziyuan Zhong, Gail E. Kaiser, and Baishakhi Ray:
    Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.
    IEEE Transactions on Software Engineering (TSE), 2023
    111 cites at Semantic Scholar
    402% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Chanathip Pornprasit and Chakkrit Kla Tantithamthavorn:
    DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2023
    110 cites at Semantic Scholar
    397% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Andrea Stocco, Brian Pulfer, and Paolo Tonella:
    Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems.
    IEEE Transactions on Software Engineering (TSE), 2023
    108 cites at Semantic Scholar
    388% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, and Yongdae Kim:
    Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned.
    IEEE Transactions on Software Engineering (TSE), 2023
    106 cites at Semantic Scholar
    379% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Yalemisew M. Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul M. Clarke:
    Decomposition of Monolith Applications Into Microservices Architectures: A Systematic Review.
    IEEE Transactions on Software Engineering (TSE), 2023
    102 cites at Semantic Scholar
    361% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Zohreh Aghababaeyan, Manel Abdellatif, Lionel C. Briand, Ramesh S., and Mojtaba Bagherzadeh:
    Black-Box Testing of Deep Neural Networks Through Test Case Diversity.
    IEEE Transactions on Software Engineering (TSE), 2023
    95 cites at Semantic Scholar
    330% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Orlando Amaral Cejas, Muhammad Ilyas Azeem, Sallam Abualhaija, and Lionel C. Briand:
    NLP-Based Automated Compliance Checking of Data Processing Agreements Against GDPR.
    IEEE Transactions on Software Engineering (TSE), 2023
    90 cites at Semantic Scholar
    307% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Julian von der Mosel, Alexander Trautsch, and Steffen Herbold:
    On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain.
    IEEE Transactions on Software Engineering (TSE), 2023
    84 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, and Yang Liu:
    GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search.
    IEEE Transactions on Software Engineering (TSE), 2023
    83 cites at Semantic Scholar
    275% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Chengjie Lu, Yize Shi, Huihui Zhang, Man Zhang, Tiexin Wang, Tao Yue, and Shaukat Ali:
    Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize Their Collisions.
    IEEE Transactions on Software Engineering (TSE), 2023
    81 cites at Semantic Scholar
    266% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, and Gabriele Bavota:
    Using Transfer Learning for Code-Related Tasks.
    IEEE Transactions on Software Engineering (TSE), 2023
    81 cites at Semantic Scholar
    266% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, and Shanping Li:
    Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code.
    IEEE Transactions on Software Engineering (TSE), 2023
    77 cites at Semantic Scholar
    248% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Emanuele Iannone, Roberta Guadagni, Filomena Ferrucci, Andrea De Lucia, and Fabio Palomba:
    The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.
    IEEE Transactions on Software Engineering (TSE), 2023
    74 cites at Semantic Scholar
    235% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Jianlei Chi, Yu Qu, Ting Liu, Qinghua Zheng, and Heng Yin:
    SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning.
    IEEE Transactions on Software Engineering (TSE), 2023
    72 cites at Semantic Scholar
    226% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Runzhi He, Hao He, Yuxia Zhang, and Minghui Zhou:
    Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot.
    IEEE Transactions on Software Engineering (TSE), 2023
    71 cites at Semantic Scholar
    221% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Sakina Fatima, Taher Ahmed Ghaleb, and Lionel C. Briand:
    Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests.
    IEEE Transactions on Software Engineering (TSE), 2023
    70 cites at Semantic Scholar
    217% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Gyte Tamasauskaite and Paul Groth:
    Defining a Knowledge Graph Development Process Through a Systematic Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    157 cites at Semantic Scholar
    610% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Shuncheng Tang, Zhenya Zhang, Yi Zhang, Jixiang Zhou, Yan Guo, Shuang Liu, Shengjian Guo, Yan-Fu Li, Lei Ma, Yinxing Xue, and Yang Liu:
    A Survey on Automated Driving System Testing: Landscapes and Trends.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    150 cites at Semantic Scholar
    578% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, and Michael R. Lyu:
    Code Structure-Guided Transformer for Source Code Summarization.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    131 cites at Semantic Scholar
    492% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Jinfeng Wen, Zhenpeng Chen, Xin Jin, and Xuanzhe Liu:
    Rise of the Planet of Serverless Computing: A Systematic Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    122 cites at Semantic Scholar
    452% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Junjie Chen, Yihua Liang, Qingchao Shen, Jiajun Jiang, and Shuochuan Li:
    Toward Understanding Deep Learning Framework Bugs.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    109 cites at Semantic Scholar
    393% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zhenpeng Chen, Jie M. Zhang, Federica Sarro, and Mark Harman:
    A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    106 cites at Semantic Scholar
    379% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Akond Rahman, Shazibul Islam Shamim, Dibyendu Brinto Bose, and Rahul Pandita:
    Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    96 cites at Semantic Scholar
    334% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, and Xin Jin:
    FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    86 cites at Semantic Scholar
    289% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Hugo Leonardo da Silva Araujo, Mohammad Reza Mousavi, and Mahsa Varshosaz:
    Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    77 cites at Semantic Scholar
    248% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Shisong Qin, Fan Hu, Zheyu Ma, Bodong Zhao, Tingting Yin, and Chao Zhang:
    NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    69 cites at Semantic Scholar
    212% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Jeongju Sohn, Sungmin Kang, and Shin Yoo:
    Arachne: Search-Based Repair of Deep Neural Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    68 cites at Semantic Scholar
    207% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar, Sebastiano Panichella, and Annibale Panichella:
    Single and Multi-Objective Test Cases Prioritization for Self-Driving Cars in Virtual Environments.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    66 cites at Semantic Scholar
    198% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Christiaan Verwijs and Daniel Russo:
    A Theory of Scrum Team Effectiveness.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    59 cites at Semantic Scholar
    167% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Andrea Fioraldi, Alessandro Mantovani, Dominik Christian Maier, and Davide Balzarotti:
    Dissecting American Fuzzy Lop: A FuzzBench Evaluation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    56 cites at Semantic Scholar
    153% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Man Zhang and Andrea Arcuri:
    Open Problems in Fuzzing RESTful APIs: A Comparison of Tools.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    56 cites at Semantic Scholar
    153% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zibin Zheng, Weili Chen, Zhijie Zhong, Zhiguang Chen, and Yutong Lu:
    Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    56 cites at Semantic Scholar
    153% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, and Xiangke Liao:
    deGraphCS: Embedding Variable-Based Flow Graph for Neural Code Search.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    54 cites at Semantic Scholar
    144% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, and Amiangshu Bosu:
    Automated Identification of Toxic Code Reviews Using ToxiCR.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    52 cites at Semantic Scholar
    135% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Tao Chen and Miqing Li:
    The Weights Can Be Harmful: Pareto Search Versus Weighted Search in Multi-Objective Search-Based Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    49 cites at Semantic Scholar
    122% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Dulaji Hidellaarachchi, John C. Grundy, Rashina Hoda, and Ingo Mueller:
    The Influence of Human Aspects on Requirements Engineering-Related Activities: Software Practitioners' Perspective.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
    48 cites at Semantic Scholar
    117% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Mahmoud Alfadel, Diego Elias Costa, and Emad Shihab:
    Empirical Analysis of Security Vulnerabilities in Python Packages.
    Empirical Software Engineering (EMSE), 2023
    168 cites at Semantic Scholar
    660% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Owura Asare, Meiyappan Nagappan, and N. Asokan:
    Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
    Empirical Software Engineering (EMSE), 2023
    162 cites at Semantic Scholar
    632% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Leonardo Horn Iwaya, Muhammad Ali Babar, Awais Rashid, and Chamila Wijayarathna:
    On the Privacy of Mental Health Apps.
    Empirical Software Engineering (EMSE), 2023
    79 cites at Semantic Scholar
    257% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser:
    An Empirical Study of Automated Unit Test Generation for Python.
    Empirical Software Engineering (EMSE), 2023
    66 cites at Semantic Scholar
    198% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Pooya Rostami Mazrae, Tom Mens, Mehdi Golzadeh, and Alexandre Decan:
    On the Usage, Co-Usage and Migration of CI/CD Tools: A Qualitative Analysis.
    Empirical Software Engineering (EMSE), 2023
    66 cites at Semantic Scholar
    198% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Yikun Li, Mohamed Soliman, and Paris Avgeriou:
    Automatic Identification of Self-Admitted Technical Debt from Four Different Sources.
    Empirical Software Engineering (EMSE), 2023
    57 cites at Semantic Scholar
    158% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Christian Birchler, Sajad Khatiri, Bill Bosshard, Alessio Gambi, and Sebastiano Panichella:
    Machine Learning-Based Test Selection for Simulation-Based Testing of Self-Driving Cars Software.
    Empirical Software Engineering (EMSE), 2023
    51 cites at Semantic Scholar
    131% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Mohammad Abdul Hadi and Fatemeh H. Fard:
    Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews.
    Empirical Software Engineering (EMSE), 2023
    46 cites at Semantic Scholar
    108% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Fang Hou and Slinger Jansen:
    A Systematic Literature Review on Trust in the Software Ecosystem.
    Empirical Software Engineering (EMSE), 2023
    45 cites at Semantic Scholar
    103% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Andrea Stocco, Brian Pulfer, and Paolo Tonella:
    Model vs System Level Testing of Autonomous Driving Systems: A Replication and Extension Study.
    Empirical Software Engineering (EMSE), 2023
    42 cites at Semantic Scholar
    90% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Torgeir Dingsøyr, Finn Olav Bjørnson, Julian Schrof, and Tor Sporsem:
    A Longitudinal Explanatory Case Study of Coordination in a Very Large Development Programme: The Impact of Transitioning from a First- to a Second-Generation Large-Scale Agile Development Method.
    Empirical Software Engineering (EMSE), 2023
    39 cites at Semantic Scholar
    76% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Mairieli Wessel, Joseph Vargovich, Marco Aurélio Gerosa, and Christoph Treude:
    GitHub Actions: The Impact on the Pull Request Process.
    Empirical Software Engineering (EMSE), 2023
    38 cites at Semantic Scholar
    72% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, and Michele Tucci:
    Towards Effective Assessment of Steady State Performance in Java Software: Are We There yet?
    Empirical Software Engineering (EMSE), 2023
    37 cites at Semantic Scholar
    67% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Md. Abdullah Al Alamin, Gias Uddin, Sanjay Malakar, Sadia Afroz, Tameem Bin Haider, and Anindya Iqbal:
    Developer Discussion Topics on the Adoption and Barriers of Low Code Software Development Platforms.
    Empirical Software Engineering (EMSE), 2023
    36 cites at Semantic Scholar
    63% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, and Zhen Ming (Jack) Jiang:
    Bugs in Machine Learning-Based Systems: A Faultload Benchmark.
    Empirical Software Engineering (EMSE), 2023
    36 cites at Semantic Scholar
    63% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Chico Sundermann, Tobias Heß, Michael Nieke, Paul Maximilian Bittner, Jeffrey M. Young, Thomas Thüm, and Ina Schaefer:
    Evaluating State-of-the-Art # SAT Solvers on Industrial Configuration Spaces.
    Empirical Software Engineering (EMSE), 2023
    36 cites at Semantic Scholar
    63% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Johannes Dorn, Sven Apel, and Norbert Siegmund:
    Mastering Uncertainty in Performance Estimations of Configurable Software Systems.
    Empirical Software Engineering (EMSE), 2023
    33 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, and Dan Yang:
    An Empirical Study of the Impact of Log Parsers on the Performance of Log-Based Anomaly Detection.
    Empirical Software Engineering (EMSE), 2023
    32 cites at Semantic Scholar
    45% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Sergio García, Daniel Strüber, Davide Brugali, Alessandro Di Fava, Patrizio Pelliccione, and Thorsten Berger:
    Software Variability in Service Robotics.
    Empirical Software Engineering (EMSE), 2023
    32 cites at Semantic Scholar
    45% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Kollin Napier, Tanmay Bhowmik, and Shaowei Wang:
    An Empirical Study of Text-Based Machine Learning Models for Vulnerability Detection.
    Empirical Software Engineering (EMSE), 2023
    32 cites at Semantic Scholar
    45% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2022 normalized by age ⌄

  1. 1
    Jie M. Zhang, Mark Harman, Lei Ma, and Yang Liu:
    Machine Learning Testing: Survey, Landscapes and Horizons.
    IEEE Transactions on Software Engineering (TSE), 2022
    863 cites at Semantic Scholar
    2546% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, and Baishakhi Ray:
    Deep Learning Based Vulnerability Detection: Are We There Yet?
    IEEE Transactions on Software Engineering (TSE), 2022
    747 cites at Semantic Scholar
    2190% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Sebastian Baltes and Paul Ralph:
    Sampling in Software Engineering Research: A Critical Review and Guidelines.
    Empirical Software Engineering (EMSE), 2022
    399 cites at Semantic Scholar
    1123% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, and Stefan Wagner:
    Software Engineering for AI-Based Systems: A Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    311 cites at Semantic Scholar
    854% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Lizhi Liao, Heng Li, Weiyi Shang, and Lei Ma:
    An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    190 cites at Semantic Scholar
    483% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, and Nachiappan Nagappan:
    A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    187 cites at Semantic Scholar
    473% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Frank F. Xu, Bogdan Vasilescu, and Graham Neubig:
    In-IDE Code Generation from Natural Language: Promise and Challenges.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    184 cites at Semantic Scholar
    464% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, and Ting Chen:
    Defining Smart Contract Defects on Ethereum.
    IEEE Transactions on Software Engineering (TSE), 2022
    175 cites at Semantic Scholar
    437% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Nikolaos Tsantalis, Ameya Ketkar, and Danny Dig:
    RefactoringMiner 2.0.
    IEEE Transactions on Software Engineering (TSE), 2022
    167 cites at Semantic Scholar
    412% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran, and Denys Poshyvanyk:
    A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    156 cites at Semantic Scholar
    378% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn:
    A Survey of Flaky Tests.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    154 cites at Semantic Scholar
    372% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb, and Lionel C. Briand:
    Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review.
    Empirical Software Engineering (EMSE), 2022
    151 cites at Semantic Scholar
    363% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Henry Edison, Xiaofeng Wang, and Kieran Conboy:
    Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review.
    IEEE Transactions on Software Engineering (TSE), 2022
    150 cites at Semantic Scholar
    360% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Jirayus Jiarpakdee, Chakkrit Kla Tantithamthavorn, Hoa Khanh Dam, and John C. Grundy:
    An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models.
    IEEE Transactions on Software Engineering (TSE), 2022
    143 cites at Semantic Scholar
    338% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiapu Luo, and Ting Chen:
    DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode.
    IEEE Transactions on Software Engineering (TSE), 2022
    140 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Rashina Hoda:
    Socio-Technical Grounded Theory for Software Engineering.
    IEEE Transactions on Software Engineering (TSE), 2022
    140 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Roberto Natella:
    StateAFL: Greybox Fuzzing for Stateful Network Servers.
    Empirical Software Engineering (EMSE), 2022
    135 cites at Semantic Scholar
    314% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Xiaoxue Wu, Wei Zheng, Xin Xia, and David Lo:
    Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction.
    IEEE Transactions on Software Engineering (TSE), 2022
    129 cites at Semantic Scholar
    296% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray:
    CODIT: Code Editing With Tree-Based Neural Models.
    IEEE Transactions on Software Engineering (TSE), 2022
    127 cites at Semantic Scholar
    289% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, and Guandong Xu:
    Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
    IEEE Transactions on Software Engineering (TSE), 2022
    124 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Jie M. Zhang, Mark Harman, Lei Ma, and Yang Liu:
    Machine Learning Testing: Survey, Landscapes and Horizons.
    IEEE Transactions on Software Engineering (TSE), 2022
    863 cites at Semantic Scholar
    2546% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, and Baishakhi Ray:
    Deep Learning Based Vulnerability Detection: Are We There Yet?
    IEEE Transactions on Software Engineering (TSE), 2022
    747 cites at Semantic Scholar
    2190% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, and Ting Chen:
    Defining Smart Contract Defects on Ethereum.
    IEEE Transactions on Software Engineering (TSE), 2022
    175 cites at Semantic Scholar
    437% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Nikolaos Tsantalis, Ameya Ketkar, and Danny Dig:
    RefactoringMiner 2.0.
    IEEE Transactions on Software Engineering (TSE), 2022
    167 cites at Semantic Scholar
    412% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Henry Edison, Xiaofeng Wang, and Kieran Conboy:
    Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review.
    IEEE Transactions on Software Engineering (TSE), 2022
    150 cites at Semantic Scholar
    360% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Jirayus Jiarpakdee, Chakkrit Kla Tantithamthavorn, Hoa Khanh Dam, and John C. Grundy:
    An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models.
    IEEE Transactions on Software Engineering (TSE), 2022
    143 cites at Semantic Scholar
    338% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiapu Luo, and Ting Chen:
    DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode.
    IEEE Transactions on Software Engineering (TSE), 2022
    140 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Rashina Hoda:
    Socio-Technical Grounded Theory for Software Engineering.
    IEEE Transactions on Software Engineering (TSE), 2022
    140 cites at Semantic Scholar
    329% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Xiaoxue Wu, Wei Zheng, Xin Xia, and David Lo:
    Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction.
    IEEE Transactions on Software Engineering (TSE), 2022
    129 cites at Semantic Scholar
    296% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray:
    CODIT: Code Editing With Tree-Based Neural Models.
    IEEE Transactions on Software Engineering (TSE), 2022
    127 cites at Semantic Scholar
    289% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, and Guandong Xu:
    Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
    IEEE Transactions on Software Engineering (TSE), 2022
    124 cites at Semantic Scholar
    280% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, and Kenichi Matsumoto:
    Predicting Defective Lines Using a Model-Agnostic Technique.
    IEEE Transactions on Software Engineering (TSE), 2022
    115 cites at Semantic Scholar
    253% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, and Ahmed E. Hassan:
    The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers.
    IEEE Transactions on Software Engineering (TSE), 2022
    114 cites at Semantic Scholar
    250% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, and Jinwen He:
    Towards Security Threats of Deep Learning Systems: A Survey.
    IEEE Transactions on Software Engineering (TSE), 2022
    113 cites at Semantic Scholar
    246% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, and Gabriele Bavota:
    An Empirical Study on the Usage of Transformer Models for Code Completion.
    IEEE Transactions on Software Engineering (TSE), 2022
    112 cites at Semantic Scholar
    243% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, and Alexandru Iosup:
    The State of Serverless Applications: Collection, Characterization, and Community Consensus.
    IEEE Transactions on Software Engineering (TSE), 2022
    111 cites at Semantic Scholar
    240% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, and Yang Liu:
    ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking.
    IEEE Transactions on Software Engineering (TSE), 2022
    110 cites at Semantic Scholar
    237% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Miqing Li, Tao Chen, and Xin Yao:
    How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance.
    IEEE Transactions on Software Engineering (TSE), 2022
    106 cites at Semantic Scholar
    225% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Maurício Aniche, Erick Maziero, Rafael S. Durelli, and Vinicius H. S. Durelli:
    The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring.
    IEEE Transactions on Software Engineering (TSE), 2022
    104 cites at Semantic Scholar
    219% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Mojtaba Bagherzadeh, Nafiseh Kahani, and Lionel C. Briand:
    Reinforcement Learning for Test Case Prioritization.
    IEEE Transactions on Software Engineering (TSE), 2022
    103 cites at Semantic Scholar
    216% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, and Stefan Wagner:
    Software Engineering for AI-Based Systems: A Survey.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    311 cites at Semantic Scholar
    854% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Lizhi Liao, Heng Li, Weiyi Shang, and Lei Ma:
    An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    190 cites at Semantic Scholar
    483% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, and Nachiappan Nagappan:
    A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    187 cites at Semantic Scholar
    473% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Frank F. Xu, Bogdan Vasilescu, and Graham Neubig:
    In-IDE Code Generation from Natural Language: Promise and Challenges.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    184 cites at Semantic Scholar
    464% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran, and Denys Poshyvanyk:
    A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    156 cites at Semantic Scholar
    378% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn:
    A Survey of Flaky Tests.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    154 cites at Semantic Scholar
    372% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, and Denae Ford:
    Accessibility in Software Practice: A Practitioner's Perspective.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    103 cites at Semantic Scholar
    216% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Andrea Romdhana, Alessio Merlo, Mariano Ceccato, and Paolo Tonella:
    Deep Reinforcement Learning for Black-Box Testing of Android Apps.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    94 cites at Semantic Scholar
    188% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, and Yang Liu:
    SPI: Automated Identification of Security Patches via Commits.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    94 cites at Semantic Scholar
    188% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Bianca Trinkenreich, Igor Wiese, Anita Sarma, Marco Aurélio Gerosa, and Igor Steinmacher:
    Women's Participation in Open Source Software: A Survey of the Literature.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    92 cites at Semantic Scholar
    182% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, and Michael R. Lyu:
    Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    79 cites at Semantic Scholar
    142% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Bin Lin, Nathan Cassee, Alexander Serebrenik, Gabriele Bavota, Nicole Novielli, and Michele Lanza:
    Opinion Mining for Software Development: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    76 cites at Semantic Scholar
    133% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Bo Lin, Shangwen Wang, Ming Wen, and Xiaoguang Mao:
    Context-Aware Code Change Embedding for Better Patch Correctness Assessment.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    75 cites at Semantic Scholar
    130% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Huangzhao Zhang, Zhiyi Fu, Ge Li, Lei Ma, Zhehao Zhao, Hua'an Yang, Yizhe Sun, Yang Liu, and Zhi Jin:
    Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    71 cites at Semantic Scholar
    118% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Yu Zhou, Xiaoqing Zhang, Juanjuan Shen, Tingting Han, Taolue Chen, and Harald C. Gall:
    Adversarial Robustness of Deep Code Comment Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    67 cites at Semantic Scholar
    105% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, and Yang Liu:
    NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    64 cites at Semantic Scholar
    96% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, and Xiaohu Yang:
    On the Reproducibility and Replicability of Deep Learning in Software Engineering.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    56 cites at Semantic Scholar
    72% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, and Yves Le Traon:
    An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    55 cites at Semantic Scholar
    69% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Daniel Barcelona Pons, Pierre Sutra, Marc Sánchez Artigas, Gerard París, and Pedro García López:
    Stateful Serverless Computing with Crucial.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    53 cites at Semantic Scholar
    62% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, and Thomas Zimmermann:
    Correlating Automated and Human Evaluation of Code Documentation Generation Quality.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
    47 cites at Semantic Scholar
    44% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Sebastian Baltes and Paul Ralph:
    Sampling in Software Engineering Research: A Critical Review and Guidelines.
    Empirical Software Engineering (EMSE), 2022
    399 cites at Semantic Scholar
    1123% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb, and Lionel C. Briand:
    Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review.
    Empirical Software Engineering (EMSE), 2022
    151 cites at Semantic Scholar
    363% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Roberto Natella:
    StateAFL: Greybox Fuzzing for Stateful Network Servers.
    Empirical Software Engineering (EMSE), 2022
    135 cites at Semantic Scholar
    314% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Stefan Höppner, Yves Haas, Matthias Tichy, and Katharina Juhnke:
    Advantages and Disadvantages of (Dedicated) Model Transformation Languages.
    Empirical Software Engineering (EMSE), 2022
    121 cites at Semantic Scholar
    271% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Bowen Li, Xin Peng, Qilin Xiang, Hanzhang Wang, Tao Xie, Jun Sun, and Xuanzhe Liu:
    Enjoy Your Observability: An Industrial Survey of Microservice Tracing and Analysis.
    Empirical Software Engineering (EMSE), 2022
    111 cites at Semantic Scholar
    240% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Diane E. Strode, Torgeir Dingsøyr, and Yngve Lindsjørn:
    A Teamwork Effectiveness Model for Agile Software Development.
    Empirical Software Engineering (EMSE), 2022
    111 cites at Semantic Scholar
    240% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Anthony Peruma, Steven Simmons, Eman Abdullah AlOmar, Christian D. Newman, Mohamed Wiem Mkaouer, and Ali Ouni:
    How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow.
    Empirical Software Engineering (EMSE), 2022
    78 cites at Semantic Scholar
    139% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Ahmed Zerouali, Tom Mens, Alexandre Decan, and Coen De Roover:
    On the Impact of Security Vulnerabilities in the Npm and RubyGems Dependency Networks.
    Empirical Software Engineering (EMSE), 2022
    76 cites at Semantic Scholar
    133% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Maliheh Izadi, Kiana Akbari, and Abbas Heydarnoori:
    Predicting the Objective and Priority of Issue Reports in Software Repositories.
    Empirical Software Engineering (EMSE), 2022
    72 cites at Semantic Scholar
    121% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Omar Haggag, John Grundy, Mohamed Abdelrazek, and Sherif Haggag:
    A Large Scale Analysis of mHealth App User Reviews.
    Empirical Software Engineering (EMSE), 2022
    66 cites at Semantic Scholar
    102% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Ruben Heradio, David Fernández-Amorós, José A. Galindo, David Benavides, and Don S. Batory:
    Uniform and Scalable Sampling of Highly Configurable Systems.
    Empirical Software Engineering (EMSE), 2022
    55 cites at Semantic Scholar
    69% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, and Johannes Erbel:
    A Fine-Grained Data Set and Analysis of Tangling in Bug Fixing Commits.
    Empirical Software Engineering (EMSE), 2022
    55 cites at Semantic Scholar
    69% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Hideaki Hata, Nicole Novielli, Sebastian Baltes, Raula Gaikovina Kula, and Christoph Treude:
    GitHub Discussions: An Exploratory Study of Early Adoption.
    Empirical Software Engineering (EMSE), 2022
    54 cites at Semantic Scholar
    66% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Adam Alami and Oliver Krancher:
    How Scrum Adds Value to Achieving Software Quality?
    Empirical Software Engineering (EMSE), 2022
    47 cites at Semantic Scholar
    44% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Bahar Gezici and Ayça Kolukisa Tarhan:
    Systematic Literature Review on Software Quality for AI-Based Software.
    Empirical Software Engineering (EMSE), 2022
    45 cites at Semantic Scholar
    38% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Lina Ochoa, Thomas Degueule, Jean-Rémy Falleri, and Jurgen J. Vinju:
    Breaking Bad? Semantic Versioning and Impact of Breaking Changes in Maven Central.
    Empirical Software Engineering (EMSE), 2022
    45 cites at Semantic Scholar
    38% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Fabio Calefato, Marco Aurélio Gerosa, Giuseppe Iaffaldano, Filippo Lanubile, and Igor Steinmacher:
    Will You Come Back to Contribute? Investigating the Inactivity of OSS Core Developers in GitHub.
    Empirical Software Engineering (EMSE), 2022
    44 cites at Semantic Scholar
    35% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Adam Przybylek, Marta Albecka, Olga Springer, and Wojciech Kowalski:
    Game-Based Sprint Retrospectives: Multiple Action Research.
    Empirical Software Engineering (EMSE), 2022
    44 cites at Semantic Scholar
    35% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Sören Henning and Wilhelm Hasselbring:
    A Configurable Method for Benchmarking Scalability of Cloud-Native Applications.
    Empirical Software Engineering (EMSE), 2022
    43 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Kaifeng Huang, Bihuan Chen, Congying Xu, Ying Wang, Bowen Shi, Xin Peng, Yijian Wu, and Yang Liu:
    Characterizing Usages, Updates and Risks of Third-Party Libraries in Java Projects.
    Empirical Software Engineering (EMSE), 2022
    43 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2021 normalized by age ⌄

  1. 1
    Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, and Maverick Woo:
    The Art, Science, and Engineering of Fuzzing: A Survey.
    IEEE Transactions on Software Engineering (TSE), 2021
    601 cites at Semantic Scholar
    1342% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, and Baowen Xu:
    Smart Contract Development: Challenges and Opportunities.
    IEEE Transactions on Software Engineering (TSE), 2021
    593 cites at Semantic Scholar
    1323% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, and Martin Monperrus:
    SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2021
    535 cites at Semantic Scholar
    1184% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding:
    Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study.
    IEEE Transactions on Software Engineering (TSE), 2021
    338 cites at Semantic Scholar
    711% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Van-Thuan Pham, Marcel Böhme, Andrew E. Santosa, Alexandru Razvan Caciulescu, and Abhik Roychoudhury:
    Smart Greybox Fuzzing.
    IEEE Transactions on Software Engineering (TSE), 2021
    257 cites at Semantic Scholar
    517% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D. Ernst, and Lu Zhang:
    An Empirical Study of Fault Localization Families and Their Combinations.
    IEEE Transactions on Software Engineering (TSE), 2021
    242 cites at Semantic Scholar
    481% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Xiao Cheng, Haoyu Wang, Jiayi Hua, Guoai Xu, and Yulei Sui:
    DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    237 cites at Semantic Scholar
    469% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Zhiyuan Wan, Xin Xia, David Lo, and Gail C. Murphy:
    How Does Machine Learning Change Software Development Practices?
    IEEE Transactions on Software Engineering (TSE), 2021
    197 cites at Semantic Scholar
    373% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, and Aditya Ghose:
    Automatic Feature Learning for Predicting Vulnerable Software Components.
    IEEE Transactions on Software Engineering (TSE), 2021
    177 cites at Semantic Scholar
    325% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, and Niels van Berkel:
    Predictors of Well-Being and Productivity Among Software Professionals During the COVID-19 Pandemic - a Longitudinal Study.
    Empirical Software Engineering (EMSE), 2021
    149 cites at Semantic Scholar
    258% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Hui Liu, Jiahao Jin, Zhifeng Xu, Yanzhen Zou, Yifan Bu, and Lu Zhang:
    Deep Learning Based Code Smell Detection.
    IEEE Transactions on Software Engineering (TSE), 2021
    147 cites at Semantic Scholar
    253% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, and John Grundy:
    Checking Smart Contracts With Structural Code Embedding.
    IEEE Transactions on Software Engineering (TSE), 2021
    130 cites at Semantic Scholar
    212% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Gema Rodríguez-Pérez, Reza Nadri, and Meiyappan Nagappan:
    Perceived Diversity in Software Engineering: A Systematic Literature Review.
    Empirical Software Engineering (EMSE), 2021
    129 cites at Semantic Scholar
    210% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, and Yves Le Traon:
    Mining Fix Patterns for FindBugs Violations.
    IEEE Transactions on Software Engineering (TSE), 2021
    127 cites at Semantic Scholar
    205% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Wuxia Jin, Ting Liu, Yuanfang Cai, Rick Kazman, Ran Mo, and Qinghua Zheng:
    Service Candidate Identification from Monolithic Systems Based on Execution Traces.
    IEEE Transactions on Software Engineering (TSE), 2021
    122 cites at Semantic Scholar
    193% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Fabio Palomba, Damian Andrew Tamburri, Francesca Arcelli Fontana, Rocco Oliveto, Andy Zaidman, and Alexander Serebrenik:
    Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells?
    IEEE Transactions on Software Engineering (TSE), 2021
    121 cites at Semantic Scholar
    190% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    André N. Meyer, Earl T. Barr, Christian Bird, and Thomas Zimmermann:
    Today Was a Good Day: The Daily Life of Software Developers.
    IEEE Transactions on Software Engineering (TSE), 2021
    118 cites at Semantic Scholar
    183% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Claudio Menghi, Christos Tsigkanos, Patrizio Pelliccione, Carlo Ghezzi, and Thorsten Berger:
    Specification Patterns for Robotic Missions.
    IEEE Transactions on Software Engineering (TSE), 2021
    114 cites at Semantic Scholar
    174% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, and Yves Le Traon:
    Test Selection for Deep Learning Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    110 cites at Semantic Scholar
    164% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Mark Haakman, Luis Cruz, Hennie Huijgens, and Arie van Deursen:
    AI Lifecycle Models Need to Be Revised.
    Empirical Software Engineering (EMSE), 2021
    110 cites at Semantic Scholar
    164% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, and Maverick Woo:
    The Art, Science, and Engineering of Fuzzing: A Survey.
    IEEE Transactions on Software Engineering (TSE), 2021
    601 cites at Semantic Scholar
    1342% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, and Baowen Xu:
    Smart Contract Development: Challenges and Opportunities.
    IEEE Transactions on Software Engineering (TSE), 2021
    593 cites at Semantic Scholar
    1323% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, and Martin Monperrus:
    SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
    IEEE Transactions on Software Engineering (TSE), 2021
    535 cites at Semantic Scholar
    1184% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, and Dan Ding:
    Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study.
    IEEE Transactions on Software Engineering (TSE), 2021
    338 cites at Semantic Scholar
    711% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Van-Thuan Pham, Marcel Böhme, Andrew E. Santosa, Alexandru Razvan Caciulescu, and Abhik Roychoudhury:
    Smart Greybox Fuzzing.
    IEEE Transactions on Software Engineering (TSE), 2021
    257 cites at Semantic Scholar
    517% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D. Ernst, and Lu Zhang:
    An Empirical Study of Fault Localization Families and Their Combinations.
    IEEE Transactions on Software Engineering (TSE), 2021
    242 cites at Semantic Scholar
    481% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Zhiyuan Wan, Xin Xia, David Lo, and Gail C. Murphy:
    How Does Machine Learning Change Software Development Practices?
    IEEE Transactions on Software Engineering (TSE), 2021
    197 cites at Semantic Scholar
    373% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, and Aditya Ghose:
    Automatic Feature Learning for Predicting Vulnerable Software Components.
    IEEE Transactions on Software Engineering (TSE), 2021
    177 cites at Semantic Scholar
    325% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Hui Liu, Jiahao Jin, Zhifeng Xu, Yanzhen Zou, Yifan Bu, and Lu Zhang:
    Deep Learning Based Code Smell Detection.
    IEEE Transactions on Software Engineering (TSE), 2021
    147 cites at Semantic Scholar
    253% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, and John Grundy:
    Checking Smart Contracts With Structural Code Embedding.
    IEEE Transactions on Software Engineering (TSE), 2021
    130 cites at Semantic Scholar
    212% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Kui Liu, Dongsun Kim, Tegawendé F. Bissyandé, Shin Yoo, and Yves Le Traon:
    Mining Fix Patterns for FindBugs Violations.
    IEEE Transactions on Software Engineering (TSE), 2021
    127 cites at Semantic Scholar
    205% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Wuxia Jin, Ting Liu, Yuanfang Cai, Rick Kazman, Ran Mo, and Qinghua Zheng:
    Service Candidate Identification from Monolithic Systems Based on Execution Traces.
    IEEE Transactions on Software Engineering (TSE), 2021
    122 cites at Semantic Scholar
    193% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Fabio Palomba, Damian Andrew Tamburri, Francesca Arcelli Fontana, Rocco Oliveto, Andy Zaidman, and Alexander Serebrenik:
    Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells?
    IEEE Transactions on Software Engineering (TSE), 2021
    121 cites at Semantic Scholar
    190% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    André N. Meyer, Earl T. Barr, Christian Bird, and Thomas Zimmermann:
    Today Was a Good Day: The Daily Life of Software Developers.
    IEEE Transactions on Software Engineering (TSE), 2021
    118 cites at Semantic Scholar
    183% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Claudio Menghi, Christos Tsigkanos, Patrizio Pelliccione, Carlo Ghezzi, and Thorsten Berger:
    Specification Patterns for Robotic Missions.
    IEEE Transactions on Software Engineering (TSE), 2021
    114 cites at Semantic Scholar
    174% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, and Rocco Oliveto:
    Toxic Code Snippets on Stack Overflow.
    IEEE Transactions on Software Engineering (TSE), 2021
    109 cites at Semantic Scholar
    162% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Guanhua Wang, Sudipta Chattopadhyay, Ivan Gotovchits, Tulika Mitra, and Abhik Roychoudhury:
    Oo7: Low-Overhead Defense Against Spectre Attacks via Program Analysis.
    IEEE Transactions on Software Engineering (TSE), 2021
    106 cites at Semantic Scholar
    154% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Elder Vicente de Paulo Sobrinho, Andrea De Lucia, and Marcelo de Almeida Maia:
    A Systematic Literature Review on Bad Smells-5 W's: Which, When, What, Who, Where.
    IEEE Transactions on Software Engineering (TSE), 2021
    104 cites at Semantic Scholar
    150% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Heng Li, Weiyi Shang, Bram Adams, Mohammed Sayagh, and Ahmed E. Hassan:
    A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives.
    IEEE Transactions on Software Engineering (TSE), 2021
    100 cites at Semantic Scholar
    140% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Li Li, Tegawendé F. Bissyandé, and Jacques Klein:
    Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark.
    IEEE Transactions on Software Engineering (TSE), 2021
    97 cites at Semantic Scholar
    133% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Xiao Cheng, Haoyu Wang, Jiayi Hua, Guoai Xu, and Yulei Sui:
    DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    237 cites at Semantic Scholar
    469% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, and Yves Le Traon:
    Test Selection for Deep Learning Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    110 cites at Semantic Scholar
    164% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Qiuyuan Chen, Xin Xia, Han Hu, David Lo, and Shanping Li:
    Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    87 cites at Semantic Scholar
    109% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yanjie Zhao, Li Li, Haoyu Wang, Haipeng Cai, Tegawendé F. Bissyandé, Jacques Klein, and John C. Grundy:
    On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    85 cites at Semantic Scholar
    104% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Abdullah A. Zarir, Gustavo Ansaldi Oliva, Zhen Ming (Jack) Jiang, and Ahmed E. Hassan:
    Developing Cost-Effective Blockchain-Powered Applications: A Case Study of the Gas Usage of Smart Contract Transactions in the Ethereum Blockchain Platform.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    83 cites at Semantic Scholar
    99% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Haoye Wang, Xin Xia, David Lo, Qiang He, Xinyu Wang, and John Grundy:
    Context-Aware Retrieval-Based Deep Commit Message Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    69 cites at Semantic Scholar
    66% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Akond Rahman, Md. Rayhanur Rahman, Chris Parnin, and Laurie A. Williams:
    Security Smells in Ansible and Chef Scripts: A Replication Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    68 cites at Semantic Scholar
    63% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Yingzhe Lyu, Heng Li, Mohammed Sayagh, Zhen Ming (Jack) Jiang, and Ahmed E. Hassan:
    An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    56 cites at Semantic Scholar
    34% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Qiuyuan Chen, Chunyang Chen, Safwat Hassan, Zhengchang Xing, Xin Xia, and Ahmed E. Hassan:
    How Should I Improve the UI of My App?: A Study of User Reviews of Popular Apps in the Google Play.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    55 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, and Xuanzhe Liu:
    Emoji-Powered Sentiment and Emotion Detection from Software Developers' Communication Data.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    55 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Deqing Zou, Yawei Zhu, Shouhuai Xu, Zhen Li, Hai Jin, and Hengkai Ye:
    Interpreting Deep Learning-Based Vulnerability Detector Predictions Based on Heuristic Searching.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    55 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Malinda Dilhara, Ameya Ketkar, and Danny Dig:
    Understanding Software-2.0: A Study of Machine Learning Library Usage and Evolution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    54 cites at Semantic Scholar
    30% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Chris Bogart, Christian Kästner, James D. Herbsleb, and Ferdian Thung:
    When and How to Make Breaking Changes: Policies and Practices in 18 Open Source Software Ecosystems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    47 cites at Semantic Scholar
    13% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Xiang Gao, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, and Abhik Roychoudhury:
    Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    45 cites at Semantic Scholar
    8% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Zhaoqiang Guo, Shiran Liu, Jinping Liu, Yanhui Li, Lin Chen, Hongmin Lu, and Yuming Zhou:
    How Far Have We Progressed in Identifying Self-Admitted Technical Debts? A Comprehensive Empirical Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    45 cites at Semantic Scholar
    8% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Zhipeng Gao, Xin Xia, David Lo, and John Grundy:
    Technical Q8A Site Answer Recommendation via Question Boosting.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    43 cites at Semantic Scholar
    3% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Ridwan Salihin Shariffdeen, Shin Hwei Tan, Mingyuan Gao, and Abhik Roychoudhury:
    Automated Patch Transplantation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    41 cites at Semantic Scholar
    -2% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Daniel Russo:
    The Agile Success Model: A Mixed-Methods Study of a Large-Scale Agile Transformation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    40 cites at Semantic Scholar
    -4% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, and Michael R. Lyu:
    Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    40 cites at Semantic Scholar
    -4% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, and Rick Kazman:
    Evaluation of Software Architectures Under Uncertainty: A Systematic Literature Review.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
    38 cites at Semantic Scholar
    -9% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, and Niels van Berkel:
    Predictors of Well-Being and Productivity Among Software Professionals During the COVID-19 Pandemic - a Longitudinal Study.
    Empirical Software Engineering (EMSE), 2021
    149 cites at Semantic Scholar
    258% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Gema Rodríguez-Pérez, Reza Nadri, and Meiyappan Nagappan:
    Perceived Diversity in Software Engineering: A Systematic Literature Review.
    Empirical Software Engineering (EMSE), 2021
    129 cites at Semantic Scholar
    210% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Mark Haakman, Luis Cruz, Hennie Huijgens, and Arie van Deursen:
    AI Lifecycle Models Need to Be Revised.
    Empirical Software Engineering (EMSE), 2021
    110 cites at Semantic Scholar
    164% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    César Soto-Valero, Nicolas Harrand, Martin Monperrus, and Benoit Baudry:
    A Comprehensive Study of Bloated Dependencies in the Maven Ecosystem.
    Empirical Software Engineering (EMSE), 2021
    102 cites at Semantic Scholar
    145% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    He Ye, Matias Martinez, and Martin Monperrus:
    Automated Patch Assessment for Program Repair at Scale.
    Empirical Software Engineering (EMSE), 2021
    97 cites at Semantic Scholar
    133% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Gede Artha Azriadi Prana, Abhishek Sharma, Lwin Khin Shar, Darius Foo, Andrew E. Santosa, Asankhaya Sharma, and David Lo:
    Out of Sight, out of Mind? How Vulnerable Dependencies Affect Open-Source Projects.
    Empirical Software Engineering (EMSE), 2021
    93 cites at Semantic Scholar
    123% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Jiachi Chen, Xin Xia, David Lo, John C. Grundy, and Xiaohu Yang:
    Maintenance-Related Concerns for Post-Deployed Ethereum Smart Contract Development: Issues, Techniques, and Future Challenges.
    Empirical Software Engineering (EMSE), 2021
    87 cites at Semantic Scholar
    109% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Yingying Wang, Harshavardhan Kadiyala, and Julia Rubin:
    Promises and Challenges of Microservices: An Exploratory Study.
    Empirical Software Engineering (EMSE), 2021
    85 cites at Semantic Scholar
    104% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, and Juliana Freire:
    Understanding and Improving the Quality and Reproducibility of Jupyter Notebooks.
    Empirical Software Engineering (EMSE), 2021
    80 cites at Semantic Scholar
    92% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Camila Mariane C. Silva, Matthias Galster, and Fabian Gilson:
    Topic Modeling in Software Engineering Research.
    Empirical Software Engineering (EMSE), 2021
    77 cites at Semantic Scholar
    85% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Bodin Chinthanet, Raula Gaikovina Kula, Shane McIntosh, Takashi Ishio, Akinori Ihara, and Kenichi Matsumoto:
    Lags in the Release, Adoption, and Propagation of Npm Vulnerability Fixes.
    Empirical Software Engineering (EMSE), 2021
    69 cites at Semantic Scholar
    66% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, and Audris Mockus:
    World of Code: Enabling a Research Workflow for Mining and Analyzing the Universe of Open Source VCS Data.
    Empirical Software Engineering (EMSE), 2021
    62 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Nils Brede Moe, Darja Smite, Maria Paasivaara, and Casper Lassenius:
    Finding the Sweet Spot for Organizational Control and Team Autonomy in Large-Scale Agile Software Development.
    Empirical Software Engineering (EMSE), 2021
    56 cites at Semantic Scholar
    34% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Justus Bogner, Jonas Fritzsch, Stefan Wagner, and Alfred Zimmermann:
    Industry Practices and Challenges for the Evolvability Assurance of Microservices.
    Empirical Software Engineering (EMSE), 2021
    55 cites at Semantic Scholar
    32% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Fitash Ul Haq, Donghwan Shin, Shiva Nejati, and Lionel Claude Briand:
    Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
    Empirical Software Engineering (EMSE), 2021
    54 cites at Semantic Scholar
    30% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Majid Hatamian, Samuel Wairimu, Nurul Momen, and Lothar Fritsch:
    A Privacy and Security Analysis of Early-Deployed COVID-19 Contact Tracing Android Apps.
    Empirical Software Engineering (EMSE), 2021
    52 cites at Semantic Scholar
    25% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, and Andreas Zeller:
    Locating Faults with Program Slicing: An Empirical Analysis.
    Empirical Software Engineering (EMSE), 2021
    51 cites at Semantic Scholar
    22% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Gias Uddin, Fatima Sabir, Yann-Gaël Guéhéneuc, Omar Alam, and Foutse Khomh:
    An Empirical Study of IoT Topics in IoT Developer Discussions on Stack Overflow.
    Empirical Software Engineering (EMSE), 2021
    51 cites at Semantic Scholar
    22% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Maliheh Izadi, Abbas Heydarnoori, and Georgios Gousios:
    Topic Recommendation for Software Repositories Using Multi-Label Classification Algorithms.
    Empirical Software Engineering (EMSE), 2021
    50 cites at Semantic Scholar
    20% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Fiorella Zampetti, Gianmarco Fucci, Alexander Serebrenik, and Massimiliano Di Penta:
    Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source.
    Empirical Software Engineering (EMSE), 2021
    49 cites at Semantic Scholar
    18% above average of year
    Visited: Jun-2026
    Paper: DOI

Top journal papers from 2020 normalized by age ⌄

  1. 1
    Chakkrit Tantithamthavorn, Ahmed E. Hassan, and Kenichi Matsumoto:
    The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models.
    IEEE Transactions on Software Engineering (TSE), 2020
    289 cites at Semantic Scholar
    585% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Xing Hu, Ge Li, Xin Xia, David Lo, and Zhi Jin:
    Deep Code Comment Generation with Hybrid Lexical and Syntactical Information.
    Empirical Software Engineering (EMSE), 2020
    284 cites at Semantic Scholar
    573% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Song Wang, Taiyue Liu, Jaechang Nam, and Lin Tan:
    Deep Semantic Feature Learning for Software Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2020
    264 cites at Semantic Scholar
    526% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, and Yves Le Traon:
    FixMiner: Mining Relevant Fix Patterns for Automated Program Repair.
    Empirical Software Engineering (EMSE), 2020
    261 cites at Semantic Scholar
    519% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett, and Denys Poshyvanyk:
    Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps.
    IEEE Transactions on Software Engineering (TSE), 2020
    245 cites at Semantic Scholar
    481% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, and Paolo Tonella:
    Testing Machine Learning Based Systems: A Systematic Mapping.
    Empirical Software Engineering (EMSE), 2020
    239 cites at Semantic Scholar
    467% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Yuan Yuan and Wolfgang Banzhaf:
    ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming.
    IEEE Transactions on Software Engineering (TSE), 2020
    237 cites at Semantic Scholar
    462% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Gustavo Ansaldi Oliva, Ahmed E. Hassan, and Zhen Ming (Jack) Jiang:
    An Exploratory Study of Smart Contracts in the Ethereum Blockchain Platform.
    Empirical Software Engineering (EMSE), 2020
    195 cites at Semantic Scholar
    362% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, and Rana Alkadhi:
    Pandemic Programming.
    Empirical Software Engineering (EMSE), 2020
    183 cites at Semantic Scholar
    334% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Harald C. Gall, and Andy Zaidman:
    How Developers Engage with Static Analysis Tools in Different Contexts.
    Empirical Software Engineering (EMSE), 2020
    161 cites at Semantic Scholar
    282% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Zhiyuan Wan, Xin Xia, Ahmed E. Hassan, David Lo, Jianwei Yin, and Xiaohu Yang:
    Perceptions, Expectations, and Challenges in Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2020
    152 cites at Semantic Scholar
    260% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, and Sven Apel:
    Finding Faster Configurations Using FLASH.
    IEEE Transactions on Software Engineering (TSE), 2020
    142 cites at Semantic Scholar
    237% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Rahul Mohanani, Iflaah Salman, Burak Turhan, Pilar Rodríguez, and Paul Ralph:
    Cognitive Biases in Software Engineering: A Systematic Mapping Study.
    IEEE Transactions on Software Engineering (TSE), 2020
    132 cites at Semantic Scholar
    213% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Zohreh Sharafi, Bonita Sharif, Yann-Gaël Guéhéneuc, Andrew Begel, Roman Bednarik, and Martha E. Crosby:
    A Practical Guide on Conducting Eye Tracking Studies in Software Engineering.
    Empirical Software Engineering (EMSE), 2020
    131 cites at Semantic Scholar
    211% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Zhi Quan Zhou, Liqun Sun, Tsong Yueh Chen, and Dave Towey:
    Metamorphic Relations for Enhancing System Understanding and Use.
    IEEE Transactions on Software Engineering (TSE), 2020
    113 cites at Semantic Scholar
    168% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Haipeng Cai:
    Assessing and Improving Malware Detection Sustainability Through App Evolution Studies.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    113 cites at Semantic Scholar
    168% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Margaret-Anne D. Storey, Neil A. Ernst, Courtney Williams, and Eirini Kalliamvakou:
    The Who, What, How of Software Engineering Research: A Socio-Technical Framework.
    Empirical Software Engineering (EMSE), 2020
    111 cites at Semantic Scholar
    163% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Serena Elisa Ponta, Henrik Plate, and Antonino Sabetta:
    Detection, Assessment and Mitigation of Vulnerabilities in Open Source Dependencies.
    Empirical Software Engineering (EMSE), 2020
    110 cites at Semantic Scholar
    161% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, and Jinshui Wang:
    Wireframe-Based UI Design Search Through Image Autoencoder.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    101 cites at Semantic Scholar
    139% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Weiqin Zou, David Lo, Zhenyu Chen, Xin Xia, Yang Feng, and Baowen Xu:
    How Practitioners Perceive Automated Bug Report Management Techniques.
    IEEE Transactions on Software Engineering (TSE), 2020
    100 cites at Semantic Scholar
    137% above average of year
    Visited: Jun-2026
    Paper: DOI

TSE ⌄

  1. 1
    Chakkrit Tantithamthavorn, Ahmed E. Hassan, and Kenichi Matsumoto:
    The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models.
    IEEE Transactions on Software Engineering (TSE), 2020
    289 cites at Semantic Scholar
    585% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Song Wang, Taiyue Liu, Jaechang Nam, and Lin Tan:
    Deep Semantic Feature Learning for Software Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2020
    264 cites at Semantic Scholar
    526% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett, and Denys Poshyvanyk:
    Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps.
    IEEE Transactions on Software Engineering (TSE), 2020
    245 cites at Semantic Scholar
    481% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yuan Yuan and Wolfgang Banzhaf:
    ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming.
    IEEE Transactions on Software Engineering (TSE), 2020
    237 cites at Semantic Scholar
    462% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Zhiyuan Wan, Xin Xia, Ahmed E. Hassan, David Lo, Jianwei Yin, and Xiaohu Yang:
    Perceptions, Expectations, and Challenges in Defect Prediction.
    IEEE Transactions on Software Engineering (TSE), 2020
    152 cites at Semantic Scholar
    260% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, and Sven Apel:
    Finding Faster Configurations Using FLASH.
    IEEE Transactions on Software Engineering (TSE), 2020
    142 cites at Semantic Scholar
    237% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Rahul Mohanani, Iflaah Salman, Burak Turhan, Pilar Rodríguez, and Paul Ralph:
    Cognitive Biases in Software Engineering: A Systematic Mapping Study.
    IEEE Transactions on Software Engineering (TSE), 2020
    132 cites at Semantic Scholar
    213% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Zhi Quan Zhou, Liqun Sun, Tsong Yueh Chen, and Dave Towey:
    Metamorphic Relations for Enhancing System Understanding and Use.
    IEEE Transactions on Software Engineering (TSE), 2020
    113 cites at Semantic Scholar
    168% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Weiqin Zou, David Lo, Zhenyu Chen, Xin Xia, Yang Feng, and Baowen Xu:
    How Practitioners Perceive Automated Bug Report Management Techniques.
    IEEE Transactions on Software Engineering (TSE), 2020
    100 cites at Semantic Scholar
    137% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Yuanrui Fan, Xin Xia, David Lo, and Ahmed E. Hassan:
    Chaff from the Wheat: Characterizing and Determining Valid Bug Reports.
    IEEE Transactions on Software Engineering (TSE), 2020
    95 cites at Semantic Scholar
    125% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Keheliya Gallaba and Shane McIntosh:
    Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI.
    IEEE Transactions on Software Engineering (TSE), 2020
    85 cites at Semantic Scholar
    102% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Qiao Huang, Xin Xia, David Lo, and Gail C. Murphy:
    Automating Intention Mining.
    IEEE Transactions on Software Engineering (TSE), 2020
    81 cites at Semantic Scholar
    92% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Gleiph Ghiotto, Leonardo Murta, Márcio de Oliveira Barros, and André van der Hoek:
    On the Nature of Merge Conflicts: A Study of 2, 731 Open Source Java Projects Hosted by GitHub.
    IEEE Transactions on Software Engineering (TSE), 2020
    76 cites at Semantic Scholar
    80% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Vahid Alizadeh, Marouane Kessentini, Mohamed Wiem Mkaouer, Mel Ocinneide, Ali Ouni, and Yuanfang Cai:
    An Interactive and Dynamic Search-Based Approach to Software Refactoring Recommendations.
    IEEE Transactions on Software Engineering (TSE), 2020
    74 cites at Semantic Scholar
    75% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Norman Peitek, Janet Siegmund, Sven Apel, Christian Kästner, Chris Parnin, Anja Bethmann, Thomas Leich, Gunter Saake, and André Brechmann:
    A Look into Programmers' Heads.
    IEEE Transactions on Software Engineering (TSE), 2020
    74 cites at Semantic Scholar
    75% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    A. César C. França, Fabio Q. B. da Silva, and Helen Sharp:
    Motivation and Satisfaction of Software Engineers.
    IEEE Transactions on Software Engineering (TSE), 2020
    71 cites at Semantic Scholar
    68% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Mohammed Sayagh, Noureddine Kerzazi, Bram Adams, and Fábio Petrillo:
    Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review.
    IEEE Transactions on Software Engineering (TSE), 2020
    64 cites at Semantic Scholar
    52% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Shaowei Wang, Tse-Hsun Chen, and Ahmed E. Hassan:
    How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow.
    IEEE Transactions on Software Engineering (TSE), 2020
    63 cites at Semantic Scholar
    49% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Rezwana Karim, Frank Tip, Alena Sochurková, and Koushik Sen:
    Platform-Independent Dynamic Taint Analysis for JavaScript.
    IEEE Transactions on Software Engineering (TSE), 2020
    57 cites at Semantic Scholar
    35% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Mozhan Soltani, Annibale Panichella, and Arie van Deursen:
    Search-Based Crash Reproduction and Its Impact on Debugging.
    IEEE Transactions on Software Engineering (TSE), 2020
    53 cites at Semantic Scholar
    26% above average of year
    Visited: Jun-2026
    Paper: DOI

TOSEM ⌄

  1. 1
    Haipeng Cai:
    Assessing and Improving Malware Detection Sustainability Through App Evolution Studies.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    113 cites at Semantic Scholar
    168% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, and Jinshui Wang:
    Wireframe-Based UI Design Search Through Image Autoencoder.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    101 cites at Semantic Scholar
    139% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Junjie Chen, Zhuo Wu, Zan Wang, Hanmo You, Lingming Zhang, and Ming Yan:
    Practical Accuracy Estimation for Efficient Deep Neural Network Testing.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    94 cites at Semantic Scholar
    123% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Yangguang Li, Zhen Ming (Jack) Jiang, Heng Li, Ahmed E. Hassan, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, and Pinan Chen:
    Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    77 cites at Semantic Scholar
    83% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Xiao Liang Yu, Omar I. Al-Bataineh, David Lo, and Abhik Roychoudhury:
    Smart Contract Repair.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    74 cites at Semantic Scholar
    75% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Zhipeng Gao, Xin Xia, John Grundy, David Lo, and Yuan-Fang Li:
    Generating Question Titles for Stack Overflow from Mined Code Snippets.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    66 cites at Semantic Scholar
    56% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, and Jan Mendling:
    Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    56 cites at Semantic Scholar
    33% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, and Zhi Jin:
    Modular Tree Network for Source Code Representation Learning.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    55 cites at Semantic Scholar
    30% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Andrea Arcuri and Juan P. Galeotti:
    Handling SQL Databases in Automated System Test Generation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    51 cites at Semantic Scholar
    21% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, and Massimiliano Di Penta:
    Why Developers Refactor Source Code: A Mining-Based Study.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    44 cites at Semantic Scholar
    4% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, and David F. Redmiles:
    Unveiling Elite Developers' Activities in Open Source Projects.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    44 cites at Semantic Scholar
    4% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Ivan Beschastnikh, Perry Liu, Albert Xing, Patty Wang, Yuriy Brun, and Michael D. Ernst:
    Visualizing Distributed System Executions.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    43 cites at Semantic Scholar
    2% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Shaukat Ali, Paolo Arcaini, Dipesh Pradhan, Safdar Aqeel Safdar, and Tao Yue:
    Quality Indicators in Search-Based Software Engineering: An Empirical Evaluation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    37 cites at Semantic Scholar
    -12% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Ghanem Soltana, Mehrdad Sabetzadeh, and Lionel C. Briand:
    Practical Constraint Solving for Generating System Test Data.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    36 cites at Semantic Scholar
    -15% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Aleksandr Pilgun, Olga Gadyatskaya, Yury Zhauniarovich, Stanislav Dashevskyi, Artsiom Kushniarou, and Sjouke Mauw:
    Fine-Grained Code Coverage Measurement in Automated Black-Box Android Testing.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    34 cites at Semantic Scholar
    -19% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Robert M. Hierons, Miqing Li, Xiaohui Liu, José Antonio Parejo, Sergio Segura, and Xin Yao:
    Many-Objective Test Suite Generation for Software Product Lines.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    31 cites at Semantic Scholar
    -26% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Guanhua Wang, Sudipta Chattopadhyay, Arnab Kumar Biswas, Tulika Mitra, and Abhik Roychoudhury:
    KLEESpectre: Detecting Information Leakage Through Speculative Cache Attacks via Symbolic Execution.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    25 cites at Semantic Scholar
    -41% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Roman Haas, Rainer Niedermayr, Tobias Roehm, and Sven Apel:
    Is Static Analysis Able to Identify Unnecessary Source Code?
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    24 cites at Semantic Scholar
    -43% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Antoine El-Hokayem and Yliès Falcone:
    On the Monitoring of Decentralized Specifications: Semantics, Properties, Analysis, and Simulation.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    23 cites at Semantic Scholar
    -45% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Gaogao Yan, Li Jiao, Shuling Wang, Lingtai Wang, and Naijun Zhan:
    Automatically Generating SystemC Code from HCSP Formal Models.
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2020
    21 cites at Semantic Scholar
    -50% above average of year
    Visited: Jun-2026
    Paper: DOI

EMSE ⌄

  1. 1
    Xing Hu, Ge Li, Xin Xia, David Lo, and Zhi Jin:
    Deep Code Comment Generation with Hybrid Lexical and Syntactical Information.
    Empirical Software Engineering (EMSE), 2020
    284 cites at Semantic Scholar
    573% above average of year
    Visited: Jun-2026
    Paper: DOI
  2. 2
    Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, and Yves Le Traon:
    FixMiner: Mining Relevant Fix Patterns for Automated Program Repair.
    Empirical Software Engineering (EMSE), 2020
    261 cites at Semantic Scholar
    519% above average of year
    Visited: Jun-2026
    Paper: DOI
  3. 3
    Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, and Paolo Tonella:
    Testing Machine Learning Based Systems: A Systematic Mapping.
    Empirical Software Engineering (EMSE), 2020
    239 cites at Semantic Scholar
    467% above average of year
    Visited: Jun-2026
    Paper: DOI
  4. 4
    Gustavo Ansaldi Oliva, Ahmed E. Hassan, and Zhen Ming (Jack) Jiang:
    An Exploratory Study of Smart Contracts in the Ethereum Blockchain Platform.
    Empirical Software Engineering (EMSE), 2020
    195 cites at Semantic Scholar
    362% above average of year
    Visited: Jun-2026
    Paper: DOI
  5. 5
    Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, and Rana Alkadhi:
    Pandemic Programming.
    Empirical Software Engineering (EMSE), 2020
    183 cites at Semantic Scholar
    334% above average of year
    Visited: Jun-2026
    Paper: DOI
  6. 6
    Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Harald C. Gall, and Andy Zaidman:
    How Developers Engage with Static Analysis Tools in Different Contexts.
    Empirical Software Engineering (EMSE), 2020
    161 cites at Semantic Scholar
    282% above average of year
    Visited: Jun-2026
    Paper: DOI
  7. 7
    Zohreh Sharafi, Bonita Sharif, Yann-Gaël Guéhéneuc, Andrew Begel, Roman Bednarik, and Martha E. Crosby:
    A Practical Guide on Conducting Eye Tracking Studies in Software Engineering.
    Empirical Software Engineering (EMSE), 2020
    131 cites at Semantic Scholar
    211% above average of year
    Visited: Jun-2026
    Paper: DOI
  8. 8
    Margaret-Anne D. Storey, Neil A. Ernst, Courtney Williams, and Eirini Kalliamvakou:
    The Who, What, How of Software Engineering Research: A Socio-Technical Framework.
    Empirical Software Engineering (EMSE), 2020
    111 cites at Semantic Scholar
    163% above average of year
    Visited: Jun-2026
    Paper: DOI
  9. 9
    Serena Elisa Ponta, Henrik Plate, and Antonino Sabetta:
    Detection, Assessment and Mitigation of Vulnerabilities in Open Source Dependencies.
    Empirical Software Engineering (EMSE), 2020
    110 cites at Semantic Scholar
    161% above average of year
    Visited: Jun-2026
    Paper: DOI
  10. 10
    Fiorella Zampetti, Carmine Vassallo, Sebastiano Panichella, Gerardo Canfora, Harald C. Gall, and Massimiliano Di Penta:
    An Empirical Characterization of Bad Practices in Continuous Integration.
    Empirical Software Engineering (EMSE), 2020
    98 cites at Semantic Scholar
    132% above average of year
    Visited: Jun-2026
    Paper: DOI
  11. 11
    Junxiao Han, Emad Shihab, Zhiyuan Wan, Shuiguang Deng, and Xin Xia:
    What Do Programmers Discuss About Deep Learning Frameworks.
    Empirical Software Engineering (EMSE), 2020
    91 cites at Semantic Scholar
    116% above average of year
    Visited: Jun-2026
    Paper: DOI
  12. 12
    Thorsten Berger, Jan-Philipp Steghöfer, Tewfik Ziadi, Jacques Robin, and Jabier Martinez:
    The State of Adoption and the Challenges of Systematic Variability Management in Industry.
    Empirical Software Engineering (EMSE), 2020
    89 cites at Semantic Scholar
    111% above average of year
    Visited: Jun-2026
    Paper: DOI
  13. 13
    Gema Rodríguez-Pérez, Gregorio Robles, Alexander Serebrenik, Andy Zaidman, Daniel M. Germán, and Jesús M. González-Barahona:
    How Bugs Are Born: A Model to Identify How Bugs Are Introduced in Software Components.
    Empirical Software Engineering (EMSE), 2020
    78 cites at Semantic Scholar
    85% above average of year
    Visited: Jun-2026
    Paper: DOI
  14. 14
    Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, and Koushik Sen:
    Selecting Fault Revealing Mutants.
    Empirical Software Engineering (EMSE), 2020
    75 cites at Semantic Scholar
    78% above average of year
    Visited: Jun-2026
    Paper: DOI
  15. 15
    Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, and Christoph Treude:
    The Impact of Automated Feature Selection Techniques on the Interpretation of Defect Models.
    Empirical Software Engineering (EMSE), 2020
    74 cites at Semantic Scholar
    75% above average of year
    Visited: Jun-2026
    Paper: DOI
  16. 16
    Emelie Engström, Margaret-Anne D. Storey, Per Runeson, Martin Höst, and Maria Teresa Baldassarre:
    How Software Engineering Research Aligns with Design Science: A Review.
    Empirical Software Engineering (EMSE), 2020
    73 cites at Semantic Scholar
    73% above average of year
    Visited: Jun-2026
    Paper: DOI
  17. 17
    Stefanie Beyer, Christian Macho, Massimiliano Di Penta, and Martin Pinzger:
    What Kind of Questions Do Developers Ask on Stack Overflow? A Comparison of Automated Approaches to Classify Posts into Question Categories.
    Empirical Software Engineering (EMSE), 2020
    67 cites at Semantic Scholar
    59% above average of year
    Visited: Jun-2026
    Paper: DOI
  18. 18
    Aníbal Iung, João Carbonell, Luciano Marchezan, Elder Rodrigues, Maicon Bernardino, Fábio Paulo Basso, and Bruno Medeiros:
    Systematic Mapping Study on Domain-Specific Language Development Tools.
    Empirical Software Engineering (EMSE), 2020
    62 cites at Semantic Scholar
    47% above average of year
    Visited: Jun-2026
    Paper: DOI
  19. 19
    Tushar Sharma, Paramvir Singh, and Diomidis Spinellis:
    An Empirical Investigation on the Relationship Between Design and Architecture Smells.
    Empirical Software Engineering (EMSE), 2020
    60 cites at Semantic Scholar
    42% above average of year
    Visited: Jun-2026
    Paper: DOI
  20. 20
    Masanari Kondo, Gustavo Ansaldi Oliva, Zhen Ming (Jack) Jiang, Ahmed E. Hassan, and Osamu Mizuno:
    Code Cloning in Smart Contracts: A Case Study on Verified Contracts from the Ethereum Blockchain Platform.
    Empirical Software Engineering (EMSE), 2020
    58 cites at Semantic Scholar
    38% above average of year
    Visited: Jun-2026
    Paper: DOI

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Last updated: 2026-06-15 16:12:54 +08