Jie Zhang

According to our database, Jie Zhang authored at least 46 papers between 2014 and 2024.

Collaborative distances:

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

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

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

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

CoRR, 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

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

Stealthy Backdoor Attack for Code Models.

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

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

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

Fairness Testing: A Comprehensive Survey and Analysis of Trends.

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

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