Zhang, Jie M.
King's College London
11 papers on CoChatORCID 0000-0003-0481-7264
Most cited papers
- Verified
Machine Learning Testing: Survey, Landscapes and Horizons
Zhang, J. M., Harman, M., Ma, L., & Liu, Y. (2022) · IEEE Transactions on Software Engineering
Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning
Cited by 897
- Verified
Large language models for software engineering: survey and open problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE)
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 650
- Verified
Large Language Models for Software Engineering: Survey and Open Problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 523
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An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
Ouyang, S., Zhang, J. M., Harman, M., & Wang, M. (2025) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchTopic Modeling
Cited by 258
- Verified
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Hort, M., Chen, Z., Zhang, J. M., Harman, M., & Sarro, F. (2022) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 222
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Leveraging automated unit tests for unsupervised code translation
Roziere, B., Zhang, J. M., Charton, F., Harman, M., Synnaeve, G., & Lample, G. (2021) · arXiv
Software Engineering ResearchNatural Language Processing Techniques
Cited by 39
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AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Huang, D., Zhang, J. M., Luck, M., Bu, Q., Qing, Y., & Cui, H. (2023) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 34
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Large Language Models in Fault Localisation
Wu, Y., Li, Z., Zhang, J. M., Papadakis, M., Harman, M., & Liu, Y. (2023) · arXiv
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 28
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A Study of LLMs’ Preferences for Libraries and Programming Languages
Twist, L., Zhang, J. M., Harman, M., Syme, D., Noppen, J., Yannakoudakis, H., & Nauck, D. (2026) · Findings of the Association for Computational Linguistics: ACL 2026
Software Engineering ResearchTopic Modeling
Cited by 5
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TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation
Gong, Z., Sun, Z., Huang, D., Liang, Q., Zhang, J. M., & Hao, D. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Software Engineering ResearchNatural Language Processing Techniques
Cited by 1
- Verified
SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints
Fan, Z., Vasilevski, K., Lin, D., Chen, B., Chen, Y., Zhong, Z., Zhang, J. M., He, P., & Hassan, A. E. (2025) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
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