| 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 | 79 | 2024 |
| The Role of Software Measurement in Assured LLM-Based Software Engineering M Harman Proceedings of the 28th International Conference on Evaluation and …, 2024 | | 2024 |
| 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 | 43 | 2024 |
| Speeding up Genetic Improvement via Regression Test Selection G Guizzo, D Williams, M Harman, J Petke, F Sarro ACM Transactions on Software Engineering and Methodology, 2024 | | 2024 |
| Enhancing Testing at Meta with Rich-State Simulated Populations N Alshahwan, A Blasi, K Bojarczuk, A Ciancone, N Gucevska, M Harman, ... Proceedings of the 46th International Conference on Software Engineering …, 2024 | 1 | 2024 |
| Fairness Improvement with Multiple Protected Attributes: How Far Are We? Z Chen, JM Zhang, F Sarro, M Harman Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 10 | 2024 |
| Automated unit test improvement using large language models at meta N Alshahwan, J Chheda, A Finegenova, B Gokkaya, M Harman, I Harper, ... arXiv preprint arXiv:2402.09171, 2024 | 11 | 2024 |
| Observation-based unit test generation at Meta N Alshahwan, M Harman, A Marginean, R Tal, E Wang arXiv preprint arXiv:2402.06111, 2024 | 1 | 2024 |
| Assured LLM-Based Software Engineering N Alshahwan, M Harman, I Harper, A Marginean, S Sengupta, E Wang arXiv preprint arXiv:2402.04380, 2024 | 4 | 2024 |
| Search-based automatic repair for fairness and accuracy in decision-making software M Hort, JM Zhang, F Sarro, M Harman Empirical Software Engineering 29 (1), 36, 2024 | 3 | 2024 |
| Mutation analysis for evaluating code translation G Guizzo, JM Zhang, F Sarro, C Treude, M Harman Empirical Software Engineering 29 (1), 19, 2024 | 1 | 2024 |
| Keeping mutation test suites consistent and relevant with long-standing mutants M Ojdanic, M Papadakis, M Harman Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 1 | 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 | 18 | 2023 |
| Coco: Testing code generation systems via concretized instructions M Yan, J Chen, JM Zhang, X Cao, C Yang, M Harman arXiv preprint arXiv:2308.13319, 2023 | 5 | 2023 |
| 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 | 79 | 2023 |
| An Empirical Study on Fairness Improvement with Multiple Protected Attributes Z Chen, JM Zhang, F Sarro, M Harman arXiv preprint arXiv:2308.01923, 2023 | 1 | 2023 |
| Who judges the judge: An empirical study on online judge tests K Liu, Y Han, JM Zhang, Z Chen, F Sarro, M Harman, G Huang, Y Ma Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 6 | 2023 |
| Inferring test models from user bug reports using multi-objective search G Guizzo, F Califano, F Sarro, F Ferrucci, M Harman Empirical Software Engineering 28 (4), 95, 2023 | 2 | 2023 |
| Model validation using mutated training labels: an exploratory study JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor Neurocomputing 539, 126116, 2023 | 4 | 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 | 43 | 2023 |
Yue JiaFacebook UK and University College London在 ucl.ac.uk 的电子邮件经过验证
