Jie M. Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Automatically Generate

Graph Representation

Code Generation

Machine Learning

Top Venues

IEEE Trans. Software Eng.

ACM Trans. Softw. Eng. Methodol.

Publications

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
Fairness Improvement with Multiple Protected Attributes: How Far Are We? ICSE (2024)
Giovani Guizzo, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman
Mutation analysis for evaluating code translation. Empir. Softw. Eng. 29 (1) (2024)
Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma
Research artifacts in software engineering publications: Status and trends. J. Syst. Softw. 213 (2024)
Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang
LLM-Powered Test Case Generation for Detecting Tricky Bugs. CoRR (2024)
Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu
ConDefects: A Complementary Dataset to Address the Data Leakage Concern for LLM-Based Fault Localization and Program Repair. SIGSOFT FSE Companion (2024)
Ying Xiao, Jie M. Zhang, Yepang Liu, Mohammad Reza Mousavi, Sicen Liu, Dingyuan Xue
MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. MSR (2024)
Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo
SOAP: Enhancing Efficiency of Generated Code via Self-Optimization. CoRR (2024)
Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro
Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma
Research Artifacts in Software Engineering Publications: Status and Trends. CoRR (2024)
Dong Huang, Jie M. Zhang, Yuhao Qing, Heming Cui
EffiBench: Benchmarking the Efficiency of Automatically Generated Code. CoRR (2024)
Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang
An Exploratory Study on Using Large Language Models for Mutation Testing. CoRR (2024)
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. 50 (4) (2024)
Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software. Empir. Softw. Eng. 29 (1) (2024)
Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu
Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. CoRR (2023)
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. ICSE (2023)
Shuyin Ouyang, Jie M. Zhang, Mark Harman, Meng Wang
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation. CoRR (2023)
Ming Yan, Junjie Chen, Jie M. Zhang, Xuejie Cao, Chen Yang, Mark Harman
COCO: Testing Code Generation Systems via Concretized Instructions. CoRR (2023)
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
Stealthy Backdoor Attack for Code Models. CoRR (2023)
Yonghao Wu, Zheng Li, Jie M. Zhang, Mike Papadakis, Mark Harman, Yong Liu
Large Language Models in Fault Localisation. CoRR (2023)
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
Large Language Models for Software Engineering: Survey and Open Problems. ICSE-FoSE (2023)
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
An Empirical Study on Fairness Improvement with Multiple Protected Attributes. CoRR (2023)
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. CoRR (2023)
Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma
Who Judges the Judge: An Empirical Study on Online Judge Tests. ISSTA (2023)
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang
Large Language Models for Software Engineering: Survey and Open Problems. CoRR (2023)
Jie M. Zhang, Mark Harman, Benjamin Guedj, Earl T. Barr, John Shawe-Taylor
Model validation using mutated training labels: An exploratory study. Neurocomputing 539 (2023)
Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu
ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair. CoRR (2023)
Dong Huang, Qingwen Bu, Jie M. Zhang, Michael Luck, Heming Cui
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation. CoRR (2023)
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software. ESEC/SIGSOFT FSE (2022)
Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang
Improving Machine Translation Systems via Isotopic Replacement. ICSE (2022)
Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32 (8) (2022)
Qingchao Shen, Junjie Chen, Jie M. Zhang, Haoyu Wang, Shuang Liu, Menghan Tian
Natural Test Generation for Precise Testing of Question Answering Software. ASE (2022)
Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman
Fairness Testing: A Comprehensive Survey and Analysis of Trends. CoRR (2022)
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness. CoRR (2022)
Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. CoRR (2022)
Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32 (7) (2022)
Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu
Machine Learning Testing: Survey, Landscapes and Horizons. IEEE Trans. Software Eng. 48 (2) (2022)
Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR (2022)
Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR (2021)
Jie M. Zhang, Mark Harman
"Ignorance and Prejudice" in Software Fairness. ICSE (2021)
Jie M. Zhang, Feng Li, Dan Hao, Meng Wang, Hao Tang, Lu Zhang, Mark Harman
A Study of Bug Resolution Characteristics in Popular Programming Languages. IEEE Trans. Software Eng. 47 (12) (2021)
Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman
Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods. ESEC/SIGSOFT FSE (2021)
Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang
Automatic testing and improvement of machine translation. ICSE (2020)
Jie M. Zhang
Automatic Improvement of Machine Translation Using Mutamorphic Relation: Invited Talk Paper. ICSE (Workshops) (2020)
Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu
Machine Learning Testing: Survey, Landscapes and Horizons. CoRR (2019)
Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman
An Empirical Comparison of Mutant Selection Assessment Metrics. ICST Workshops (2019)
Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang
Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness? ICST (2019)
Jie M. Zhang, Earl T. Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor
Perturbed Model Validation: A New Framework to Validate Model Relevance. CoRR (2019)
Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang
Automatic Testing and Improvement of Machine Translation. CoRR (2019)