| How to design a program repair bot? insights from the repairnator project S Urli, Z Yu, L Seinturier, M Monperrus Proceedings of the 40th International Conference on Software Engineering …, 2018 | 136 | 2018 |
| Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system Z Yu, M Martinez, B Danglot, T Durieux, M Monperrus Empirical Software Engineering 24 (1), 33-67, 2019 | 106* | 2019 |
| A snowballing literature study on test amplification B Danglot, O Vera-Perez, Z Yu, A Zaidman, M Monperrus, B Baudry Journal of Systems and Software 157, 110398, 2019 | 84 | 2019 |
| Characterizing the usage, evolution and impact of java annotations in practice Z Yu, C Bai, L Seinturier, M Monperrus IEEE Transactions on Software Engineering 47 (5), 969-986, 2021 | 35 | 2021 |
| Does the failing test execute a single or multiple faults? An approach to classifying failing tests Z Yu, C Bai, KY Cai 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 30 | 2015 |
| GUI software fault localization using N-gram analysis Z Yu, H Hu, C Bai, KY Cai, WE Wong 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering …, 2011 | 26 | 2011 |
| Mutation-oriented test data augmentation for GUI software fault localization Z Yu, C Bai, KY Cai Information and Software Technology 55 (12), 2076-2098, 2013 | 18 | 2013 |
| A software-repair robot based on continual learning B Baudry, Z Chen, K Etemadi, H Fu, D Ginelli, S Kommrusch, M Martinez, ... IEEE Software 38 (4), 28-35, 2021 | 16 | 2021 |
| Megadiff: A dataset of 600k java source code changes categorized by diff size M Monperrus, M Martinez, H Ye, F Madeiral, T Durieux, Z Yu arXiv preprint arXiv:2108.04631, 2021 | 13 | 2021 |
| The emerging field of test amplification: A survey B Danglot, O Vera-Perez, Z Yu, M Monperrus, B Baudry arXiv preprint arXiv:1705.10692, 2017 | 13* | 2017 |
| Learning the relation between code features and code transforms with structured prediction Z Yu, M Martinez, Z Chen, TF Bissyandé, M Monperrus IEEE Transactions on Software Engineering 49 (7), 3872 - 3900, 2023 | 12 | 2023 |
| The approach of graphical user interface testing guided by bayesian model Z Yang, Z Yu, C Bai Computer Engineering and Networking, 385-393, 2014 | 12* | 2014 |
| The patches of the nopol automatic repair system on the bugs of defects4j version 1.1. 0 T Durieux, B Danglot, Z Yu, M Martinez, S Urli, M Monperrus | 10 | 2017 |
| Exhaustive exploration of the failure-oblivious computing search space T Durieux, Y Hamadi, Z Yu, B Baudry, M Monperrus 2018 IEEE 11th International Conference on Software Testing, Verification …, 2018 | 6 | 2018 |
| 3-Way GUI Test Cases Generation Based on Event-Wise Partitioning J Feng, BB Yin, KY Cai, ZX Yu 2012 12th International Conference on Quality Software, 89-97, 2012 | 6 | 2012 |
| Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization Y Du, Z Yu Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 5 | 2023 |
| Exploring and Unleashing the Power of Large Language Models in Automated Code Translation Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu, Y Hong, X Ma, Z Jin, G Li Proceedings of the ACM International Conference on the Foundations of …, 2024 | 2 | 2024 |
| Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond P Xue, L Wu, Z Yu, Z Jin, Z Yang, X Li, Z Yang, Y Tan arXiv preprint arXiv:2404.14824, 2024 | 2 | 2024 |
| Understanding Solidity Event Logging Practices in the Wild L Li, Y Liang, Z Liu, Z Yu Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 1 | 2023 |
| NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair Z Yang, Z Yang, Z Yu arXiv preprint arXiv:2406.16526, 2024 | | 2024 |
Martin MonperrusKTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
