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Jie M. Zhang
Jie M. Zhang
Lecturer (Assistant Professor), King's College London
Bestätigte E-Mail-Adresse bei kcl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Machine Learning Testing: Survey, Landscapes and Horizons
JM Zhang, M Harman, L Ma, Y Liu
arXiv preprint arXiv:1906.10742, 2020
8332020
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
4992019
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
2162016
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
1472015
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
1282014
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
1062020
Large language models for software engineering: Survey and open problems
A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ...
arXiv preprint arXiv:2310.03533, 2023
842023
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
752021
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
692023
" Ignorance and Prejudice" in Software Fairness
JM Zhang, M Harman
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
582021
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
572023
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
542021
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
462022
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
452014
Fairness testing: A comprehensive survey and analysis of trends
Z Chen, JM Zhang, M Hort, F Sarro, M Harman
arXiv preprint arXiv:2207.10223, 2022
412022
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
392023
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
352022
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
302022
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
282022
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
282021
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