Jie M. Zhang

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Mark HarmanResearch Scientist at Facebook & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Lu ZhangPeking UniversityVerified email at sei.pku.edu.cn
Hao DanPeking UniversityVerified email at pku.edu.cn
Mike PapadakisSenior Research Scientist, University of LuxembourgVerified email at uni.lu
Lingming ZhangUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Yue JiaFacebook UK and University College LondonVerified email at ucl.ac.uk
Hong MeiPeking UniversityVerified email at pku.edu.cn
Yves Le TraonProfessor of Computer Science, University of LuxembourgVerified email at uni.lu
bing xieProfessor of Computer Science,Peking universityVerified email at pku.edu.cn
Lei MaAssociate Professor and Canada CIFAR AI Chair, University of AlbertaVerified email at ualberta.ca
Yang LiuUniversity Leadership Forum Chair Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Marinos KintisUniversity of LuxembourgVerified email at uni.lu
Xiaoyin WangAssociate Professor, University of Texas at San AntonioVerified email at utsa.edu
Yingfei XiongAssociate Professor, Peking UniversityVerified email at sei.pku.edu.cn
Meng WangSenior Lecturer in Computer Science, University of BristolVerified email at bristol.ac.uk
Junjie ChenAssociate Professor, Tianjin UniversityVerified email at tju.edu.cn
Zeyu SunPeking UniversityVerified email at pku.edu.cn
Feng LiPeking UniversityVerified email at pku.edu.cn
Federica SarroProfessor of Software Engineering, University College LondonVerified email at ucl.ac.uk
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk

Jie M. Zhang

Lecturer (Assistant Professor), King's College London

Verified email at kcl.ac.uk - Homepage

SE4ML machine learning testing mutation testing metamorphic testing


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Machine Learning Testing: Survey, Landscapes and Horizons JM Zhang, M Harman, L Ma, Y Liu arXiv preprint arXiv:1906.10742, 2019	391	2019
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	293	2019
Predictive mutation testing J Zhang, L Zhang, M Harman, D Hao, Y Jia, L Zhang IEEE Transactions on Software Engineering 45 (9), 898-918, 2018	158	2018
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	116	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	90	2014
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	40	2014
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	37	2020
Isomorphic regression testing: executing uncovered branches without test augmentation J Zhang, Y Lou, L Zhang, D Hao, L Zhang, H Mei Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016	21	2016
" Ignorance and Prejudice" in Software Fairness JM Zhang, M Harman 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021	14	2021
Automated refactoring of nested-if formulae in spreadsheets J Zhang, S Han, D Hao, L Zhang, D Zhang Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018	13	2018
Perturbation Validation: A New Heuristic to Validate Machine Learning Models JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor arXiv preprint arXiv:1905.10201, 2020	12*	2020
Fruiter: a framework for evaluating ui test reuse Y Zhao, J Chen, A Sejfia, M Schmitt Laser, J Zhang, F Sarro, M Harman, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020	9	2020
Do pseudo test suites lead to inflated correlation in measuring test effectiveness? JM Zhang, L Zhang, D Hao, M Wang, L Zhang 2019 12th IEEE Conference on Software Testing, Validation and Verification …, 2019	8	2019
A study of bug resolution characteristics in popular programming languages JM Zhang, F Li, D Hao, M Wang, H Tang, L Zhang, M Harman IEEE Transactions on Software Engineering 47 (12), 2684-2697, 2019	7	2019
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	6	2021
Facebook’s cyber–cyber and cyber–physical digital twins J Ahlgren, K Bojarczuk, S Drossopoulou, I Dvortsova, J George, ... Evaluation and Assessment in Software Engineering, 1-9, 2021	5	2021
Scalability studies on selective mutation testing J Zhang 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015	4	2015
An empirical comparison of mutant selection assessment metrics JM Zhang, L Zhang, D Hao, L Zhang, M Harman 2019 IEEE International Conference on Software Testing, Verification and …, 2019	3	2019
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	2	2021
To detect abnormal program behaviours via mutation deduction J Zhang, D Hao, L Zhang, L Zhang 2018 IEEE International Conference on Software Testing, Verification and …, 2018	2	2018

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