| Machine Learning Testing: Survey, Landscapes and Horizons JM Zhang, M Harman, L Ma, Y Liu arXiv preprint arXiv:1906.10742, 2020 | 1007 | 2020 |
| Mutation testing advances: an analysis and survey M Papadakis, M Kintis, J Zhang, Y Jia, Y Le Traon, M Harman Advances in computers 112, 275-378, 2019 | 590 | 2019 |
| Large language models for software engineering: Survey and open problems A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ... 2023 IEEE/ACM International Conference on Software Engineering: Future of …, 2023 | 335 | 2023 |
| Predictive mutation testing J Zhang, Z Wang, L Zhang, D Hao, L Zang, S Cheng, L Zhang Proceedings of the 25th international symposium on software testing and …, 2016 | 238 | 2016 |
| Bias mitigation for machine learning classifiers: A comprehensive survey M Hort, Z Chen, JM Zhang, M Harman, F Sarro ACM Journal on Responsible Computing 1 (2), 1-52, 2024 | 166 | 2024 |
| A survey on bug-report analysis J ZHANG, XY WANG, D HAO, B XIE, L ZHANG, H MEI Science China. Information Sciences 58 (2), 1-24, 2015 | 161 | 2015 |
| LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation S Ouyang, JM Zhang, M Harman, M Wang arXiv preprint arXiv:2308.02828, 2023 | 160 | 2023 |
| Search-based inference of polynomial metamorphic relations J Zhang, J Chen, D Hao, Y Xiong, B Xie, L Zhang, H Mei Proceedings of the 29th ACM/IEEE international conference on Automated …, 2014 | 151 | 2014 |
| Leveraging automated unit tests for unsupervised code translation B Roziere, JM Zhang, F Charton, M Harman, G Synnaeve, G Lample arXiv preprint arXiv:2110.06773, 2021 | 127 | 2021 |
| Automatic testing and improvement of machine translation Z Sun, JM Zhang, M Harman, M Papadakis, L Zhang Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 127 | 2020 |
| " Ignorance and Prejudice" in Software Fairness JM Zhang, M Harman 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 83 | 2021 |
| Agentcoder: Multi-agent-based code generation with iterative testing and optimisation D Huang, Q Bu, JM Zhang, M Luck, H Cui arXiv preprint arXiv:2312.13010, 2023 | 82 | 2023 |
| A comprehensive empirical study of bias mitigation methods for machine learning classifiers Z Chen, JM Zhang, F Sarro, M Harman ACM Transactions on Software Engineering and Methodology 32 (4), 1-30, 2023 | 78 | 2023 |
| Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods M Hort, JM Zhang, F Sarro, M Harman Proceedings of the 29th ACM joint meeting on European software engineering …, 2021 | 77 | 2021 |
| MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software Z Chen, JM Zhang, F Sarro, M Harman Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 68 | 2022 |
| Fairness testing: A comprehensive survey and analysis of trends Z Chen, JM Zhang, M Hort, M Harman, F Sarro ACM Transactions on Software Engineering and Methodology 33 (5), 1-59, 2024 | 66 | 2024 |
| Stealthy backdoor attack for code models Z Yang, B Xu, JM Zhang, HJ Kang, J Shi, J He, D Lo IEEE Transactions on Software Engineering, 2024 | 59 | 2024 |
| Vulnerability detection with graph simplification and enhanced graph representation learning XC Wen, Y Chen, C Gao, H Zhang, JM Zhang, Q Liao 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 57 | 2023 |
| Large language models in fault localisation Y Wu, Z Li, JM Zhang, M Papadakis, M Harman, Y Liu arXiv preprint arXiv:2308.15276, 2023 | 48 | 2023 |
| Bias assessment and mitigation in llm-based code generation D Huang, Q Bu, J Zhang, X Xie, J Chen, H Cui arXiv preprint arXiv:2309.14345, 2023 | 45 | 2023 |
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCL在 ucl.ac.uk 的电子邮件经过验证