| Machine Learning Testing: Survey, Landscapes and Horizons JM Zhang, M Harman, L Ma, Y Liu arXiv preprint arXiv:1906.10742, 2020 | 854 | 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 | 517 | 2019 |
| 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 | 217 | 2016 |
| 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 | 148 | 2015 |
| 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 | 130 | 2014 |
| 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 | 114 | 2023 |
| 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 | 109 | 2020 |
| 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 | 80 | 2021 |
| 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 | 77 | 2023 |
| Bias mitigation for machine learning classifiers: A comprehensive survey M Hort, Z Chen, JM Zhang, M Harman, F Sarro ACM Journal on Responsible Computing, 2023 | 76 | 2023 |
| " Ignorance and Prejudice" in Software Fairness JM Zhang, M Harman 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 59 | 2021 |
| 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 | 55 | 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 | 48 | 2022 |
| An empirical study on the scalability of selective mutation testing J Zhang, M Zhu, D Hao, L Zhang 2014 IEEE 25th International Symposium on Software Reliability Engineering …, 2014 | 44 | 2014 |
| 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 | 42 | 2024 |
| 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 | 42 | 2023 |
| Improving machine translation systems via isotopic replacement Z Sun, JM Zhang, Y Xiong, M Harman, M Papadakis, L Zhang Proceedings of the 44th international conference on software engineering …, 2022 | 35 | 2022 |
| Graphcode2vec: Generic code embedding via lexical and program dependence analyses W Ma, M Zhao, E Soremekun, Q Hu, JM Zhang, M Papadakis, M Cordy, ... Proceedings of the 19th International Conference on Mining Software …, 2022 | 31 | 2022 |
| Facebook’s cyber–cyber and cyber–physical digital twins J Ahlgren, K Bojarczuk, S Drossopoulou, I Dvortsova, J George, ... Proceedings of the 25th International Conference on Evaluation and …, 2021 | 30 | 2021 |
| Natural test generation for precise testing of question answering software Q Shen, J Chen, JM Zhang, H Wang, S Liu, M Tian Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 29 | 2022 |
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCL在 ucl.ac.uk 的电子邮件经过验证
