Zhongxing Yu

According to our database, Zhongxing Yu authored at least 24 papers between 2011 and 2024.

Collaborative distances:

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

2024

Automated Commit Message Generation With Large Language Models: An Empirical Study and Beyond.

Pengyu Xue, Linhao Wu, Zhongxing Yu, Zhi Jin, Zhen Yang, Xinyi Li, Zhenyu Yang, Yue Tan

IEEE Trans. Software Eng., December, 2024

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.

Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li

Proc. ACM Softw. Eng., 2024

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing.

Pengyu Xue, Linhao Wu, Zhen Yang, Xinyi Li, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Jingwen Wu

CoRR, 2024

NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair.

Zhenyu Yang, Zhen Yang, Zhongxing Yu

CoRR, 2024

2023

Learning the Relation Between Code Features and Code Transforms With Structured Prediction.

Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus

IEEE Trans. Software Eng., July, 2023

Understanding Solidity Event Logging Practices in the Wild.

Lantian Li, Yejian Liang, Zhihao Liu, Zhongxing Yu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization.

Yali Du, Zhongxing Yu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2021

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice.

Zhongxing Yu, Chenggang Bai, Lionel Seinturier, Martin Monperrus

IEEE Trans. Software Eng., 2021

A Software-Repair Robot Based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu

IEEE Softw., 2021

Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size.

Martin Monperrus, Matias Martinez, He Ye, Fernanda Madeiral, Thomas Durieux, Zhongxing Yu

CoRR, 2021

2020

R-Hero: A Software Repair Bot based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu

CoRR, 2020

2019

A snowballing literature study on test amplification.

Benjamin Danglot, Oscar Vera-Perez, Zhongxing Yu, Andy Zaidman, Martin Monperrus, Benoit Baudry

J. Syst. Softw., 2019

Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system.

Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus

Empir. Softw. Eng., 2019

Learning the Relation between Code Features and Code Transforms with Structured Prediction.

Zhongxing Yu, Matias Martinez, Tegawendé F. Bissyandé, Martin Monperrus

CoRR, 2019

2018

Characterizing the Usage and Impact of Java Annotations Over 1000+ Projects.

Zhongxing Yu, Chenggang Bai, Lionel Seinturier, Martin Monperrus

CoRR, 2018

Exhaustive Exploration of the Failure-Oblivious Computing Search Space.

Thomas Durieux, Youssef Hamadi, Zhongxing Yu, Benoit Baudry, Martin Monperrus

Proceedings of the 11th IEEE International Conference on Software Testing, 2018

How to design a program repair bot?: insights from the repairnator project.

Simon Urli, Zhongxing Yu, Lionel Seinturier, Martin Monperrus

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

2017

Exhaustive Exploration of the Failure-oblivious Computing Search Space.

Thomas Durieux, Youssef Hamadi, Zhongxing Yu, Martin Monperrus

CoRR, 2017

Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness.

Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus

CoRR, 2017

The Emerging Field of Test Amplification: A Survey.

Benjamin Danglot, Oscar Vera-Perez, Zhongxing Yu, Martin Monperrus, Benoit Baudry

CoRR, 2017

2015

Does the Failing Test Execute a Single or Multiple Faults? An Approach to Classifying Failing Tests.

Zhongxing Yu, Chenggang Bai, Kai-Yuan Cai

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

2013

Mutation-oriented test data augmentation for GUI software fault localization.

Zhongxing Yu, Chenggang Bai, Kai-Yuan Cai

Inf. Softw. Technol., 2013

2012

3-Way GUI Test Cases Generation Based on Event-Wise Partitioning.

Jing Feng, Bei-Bei Yin, Kai-Yuan Cai, Zhongxing Yu

Proceedings of the 2012 12th International Conference on Quality Software, 2012

2011

GUI Software Fault Localization Using N-gram Analysis.

Zhongxing Yu, Hai Hu, Chenggang Bai, Kai-Yuan Cai, W. Eric Wong

Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011