Jie Zhang

According to our database, Jie Zhang authored at least 70 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Robustness evaluation of code generation systems via concretizing instructions.

Ming Yan, Junjie Chen, Jie M. Zhang, Xuejie Cao, Chen Yang, Mark Harman

Inf. Softw. Technol., 2025

2024

SEA4DQ 2024 Workshop Summary.

Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina

ACM SIGSOFT Softw. Eng. Notes, October, 2024

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities.

Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu

ACM Trans. Softw. Eng. Methodol., September, 2024

Fairness Testing of Machine Translation Systems.

Zeyu Sun, Zhenpeng Chen, Jie Zhang, Dan Hao

ACM Trans. Softw. Eng. Methodol., July, 2024

Fairness Testing: A Comprehensive Survey and Analysis of Trends.

Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro

ACM Trans. Softw. Eng. Methodol., June, 2024

Stealthy Backdoor Attack for Code Models.

Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo

IEEE Trans. Software Eng., April, 2024

Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software.

Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman

Empir. Softw. Eng., February, 2024

Mutation analysis for evaluating code translation.

Giovani Guizzo, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman

Empir. Softw. Eng., February, 2024

MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions.

Ying Xiao, Jie M. Zhang, Yepang Liu, Mohammad Reza Mousavi, Sicen Liu, Dingyuan Xue

Proc. ACM Softw. Eng., 2024

Research artifacts in software engineering publications: Status and trends.

Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma

J. Syst. Softw., 2024

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software.

Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu

CoRR, 2024

Benchmarking Bias in Large Language Models during Role-Playing.

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu

CoRR, 2024

Personality-Guided Code Generation Using Large Language Models.

Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma

CoRR, 2024

Effi-Code: Unleashing Code Efficiency in Language Models.

Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang

CoRR, 2024

Rethinking the Influence of Source Code on Test Case Generation.

Dong Huang, Jie M. Zhang, Mingzhe Du, Mark Harman, Heming Cui

CoRR, 2024

An Exploratory Study on Using Large Language Models for Mutation Testing.

Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang

CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.

Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo

CoRR, 2024

LLM-Powered Test Case Generation for Detecting Tricky Bugs.

Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang

CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

Dong Huang, Jie M. Zhang, Yuhao Qing, Heming Cui

CoRR, 2024

ConDefects: A Complementary Dataset to Address the Data Leakage Concern for LLM-Based Fault Localization and Program Repair.

Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs.

Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMs.

Shengbei Jiang, Jiabao Zhang, Wei Chen, Bo Wang, Jianyi Zhou, Jie Zhang

LLM4CODE@ICSE, 2024

Fairness Improvement with Multiple Protected Attributes: How Far Are We?

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Using Protected Attributes to Consider Fairness in Multi-Agent Systems.

Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers.

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

ACM Trans. Softw. Eng. Methodol., July, 2023

Model validation using mutated training labels: An exploratory study.

Jie M. Zhang, Mark Harman, Benjamin Guedj, Earl T. Barr, John Shawe-Taylor

Neurocomputing, June, 2023

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Dong Huang, Qingwen Bu, Jie M. Zhang, Michael Luck, Heming Cui

CoRR, 2023

ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair.

Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu

CoRR, 2023

Bias Assessment and Mitigation in LLM-based Code Generation.

Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui

CoRR, 2023

Large Language Models in Fault Localisation.

Yonghao Wu, Zheng Li, Jie M. Zhang, Mike Papadakis, Mark Harman, Yong Liu

CoRR, 2023

COCO: Testing Code Generation Systems via Concretized Instructions.

Ming Yan, Junjie Chen, Jie M. Zhang, Xuejie Cao, Chen Yang, Mark Harman

CoRR, 2023

Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems.

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu

CoRR, 2023

LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation.

Shuyin Ouyang, Jie M. Zhang, Mark Harman, Meng Wang

CoRR, 2023

An Empirical Study on Fairness Improvement with Multiple Protected Attributes.

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

CoRR, 2023

RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models.

Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu

CoRR, 2023

Who Judges the Judge: An Empirical Study on Online Judge Tests.

Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.

Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Large Language Models for Software Engineering: Survey and Open Problems.

Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang

Proceedings of the IEEE/ACM International Conference on Software Engineering: Future of Software Engineering, 2023

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search.

Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On Testing Ethical Autonomous Decision-Making.

Michael E. Akintunde, Martim Brandão, Gunel Jahangirova, Hector Menendez, Mohammad Reza Mousavi, Jie Zhang

Proceedings of the Applicable Formal Methods for Safe Industrial Products, 2023

2022

Machine Learning Testing: Survey, Landscapes and Horizons.

Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu

IEEE Trans. Software Eng., 2022

Mutation analysis and its industrial applications.

Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis

Softw. Test. Verification Reliab., 2022

Is Self-Attention Powerful to Learn Code Syntax and Semantics?

Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu

CoRR, 2022

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.

Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

CoRR, 2022

A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness.

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

CoRR, 2022

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software.

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses.

Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Natural Test Generation for Precise Testing of Question Answering Software.

Qingchao Shen, Junjie Chen, Jie M. Zhang, Haoyu Wang, Shuang Liu, Menghan Tian

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Improving Machine Translation Systems via Isotopic Replacement.

Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Leveraging Automated Unit Tests for Unsupervised Code Translation.

Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Study of Bug Resolution Characteristics in Popular Programming Languages.

Jie M. Zhang, Feng Li, Dan Hao, Meng Wang, Hao Tang, Lu Zhang, Mark Harman

IEEE Trans. Software Eng., 2021

Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods.

Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

"Ignorance and Prejudice" in Software Fairness.

Jie M. Zhang, Mark Harman

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

FrUITeR: a framework for evaluating UI test reuse.

Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Automatic Improvement of Machine Translation Using Mutamorphic Relation: Invited Talk Paper.

Jie M. Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Automatic testing and improvement of machine translation.

Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Predictive Mutation Testing.

Jie Zhang, Lingming Zhang, Mark Harman, Dan Hao, Yue Jia, Lu Zhang

IEEE Trans. Software Eng., 2019

Perturbed Model Validation: A New Framework to Validate Model Relevance.

Jie M. Zhang, Earl T. Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor

CoRR, 2019

Chapter Six - Mutation Testing Advances: An Analysis and Survey.

Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, Mark Harman

Adv. Comput., 2019

An Empirical Comparison of Mutant Selection Assessment Metrics.

Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman

Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?

Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang

Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

2018

How Does Bug-Handling Effort Differ Among Different Programming Languages?

Jie Zhang, Feng Li, Dan Hao, Meng Wang, Lu Zhang

CoRR, 2018

Automated refactoring of nested-IF formulae in spreadsheets.

Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

To Detect Abnormal Program Behaviours via Mutation Deduction.

Jie Zhang, Dan Hao, Lingming Zhang, Lu Zhang

Proceedings of the 2018 IEEE International Conference on Software Testing, 2018

2016

Isomorphic regression testing: executing uncovered branches without test augmentation.

Jie Zhang, Yiling Lou, Lingming Zhang, Dan Hao, Lu Zhang, Hong Mei

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Predictive mutation testing.

Jie Zhang, Ziyi Wang, Lingming Zhang, Dan Hao, Lei Zang, Shiyang Cheng, Lu Zhang

Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

2015

A survey on bug-report analysis.

Jie Zhang, Xiaoyin Wang, Dan Hao, Bing Xie, Lu Zhang, Hong Mei

Sci. China Inf. Sci., 2015

Scalability Studies on Selective Mutation Testing.

Jie Zhang

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Search-based inference of polynomial metamorphic relations.

Jie Zhang, Junjie Chen, Dan Hao, Yingfei Xiong, Bing Xie, Lu Zhang, Hong Mei

Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

An Empirical Study on the Scalability of Selective Mutation Testing.

Jie Zhang, Muyao Zhu, Dan Hao, Lu Zhang

Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering, 2014