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Jie M. Zhang
Jie M. Zhang
Lecturer (Assistant Professor), King's College London
Geverifieerd e-mailadres voor kcl.ac.uk - Homepage
Titel
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Jaar
Machine Learning Testing: Survey, Landscapes and Horizons
JM Zhang, M Harman, L Ma, Y Liu
arXiv preprint arXiv:1906.10742, 2020
10242020
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
5732019
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
3672023
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
2352016
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
1952024
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
S Ouyang, JM Zhang, M Harman, M Wang
arXiv e-prints, arXiv: 2308.02828, 2023
1712023
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
1662015
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
1442014
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
1272021
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
1262020
Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
D Huang, JM Zhang, M Luck, Q Bu, Y Qing, H Cui
arXiv preprint arXiv:2312.13010, 2023
1092023
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
862023
" Ignorance and Prejudice" in Software Fairness
JM Zhang, M Harman
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
852021
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
842024
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
812021
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
722022
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 50 (4), 721-741, 2024
692024
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
672023
Large language models in fault localisation
Y Wu, Z Li, JM Zhang, M Papadakis, M Harman, Y Liu
arXiv preprint arXiv:2308.15276, 2023
512023
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
502023
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Artikelen 1–20