| On the efficiency of test suite based program repair: A systematic assessment of 16 automated repair systems for java programs K Liu, S Wang, A Koyuncu, K Kim, TF Bissyandé, D Kim, P Wu, J Klein, ... Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 144 | 2020 |
| Automated patch correctness assessment: How far are we? S Wang, M Wen, B Lin, H Wu, Y Qin, D Zou, X Mao, H Jin Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 98 | 2020 |
| Peculiar: Smart contract vulnerability detection based on crucial data flow graph and pre-training techniques H Wu, Z Zhang, S Wang, Y Lei, B Lin, Y Qin, H Zhang, X Mao 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 68 | 2021 |
| Context-aware code change embedding for better patch correctness assessment B Lin, S Wang, M Wen, X Mao ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-29, 2022 | 45 | 2022 |
| How different is it between machine-generated and developer-provided patches?: An empirical study on the correct patches generated by automated program repair techniques S Wang, M Wen, L Chen, X Yi, X Mao 2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019 | 42 | 2019 |
| A fine-grained data set and analysis of tangling in bug fixing commits S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ... Empirical Software Engineering 27 (6), 125, 2022 | 33 | 2022 |
| Lightweight global and local contexts guided method name recommendation with prior knowledge S Wang, M Wen, B Lin, X Mao Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 25 | 2021 |
| Reentrancy vulnerability detection and localization: A deep learning based two-phase approach Z Zhang, Y Lei, M Yan, Y Yu, J Chen, S Wang, X Mao Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 24 | 2022 |
| Automated comment update: How far are we? B Lin, S Wang, K Liu, X Mao, TF Bissyandé 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 23 | 2021 |
| On the impact of flaky tests in automated program repair Y Qin, S Wang, K Liu, X Mao, TF Bissyandé 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 22 | 2021 |
| Attention please: Consider Mockito when evaluating newly proposed automated program repair techniques S Wang, M Wen, X Mao, D Yang Proceedings of the 23rd International Conference on Evaluation and …, 2019 | 19 | 2019 |
| Is this change the answer to that problem? correlating descriptions of bug and code changes for evaluating patch correctness H Tian, X Tang, A Habib, S Wang, K Liu, X Xia, J Klein, TF Bissyandé Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 16 | 2022 |
| An empirical study on the effect of dynamic slicing on automated program repair efficiency A Guo, X Mao, D Yang, S Wang 2018 IEEE International Conference on Software Maintenance and Evolution …, 2018 | 16 | 2018 |
| On the way to microservices: Exploring problems and solutions from online q&a community M Wu, Y Zhang, J Liu, S Wang, Z Zhang, X Xia, X Mao 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 12 | 2022 |
| History-driven fix for code quality issues J Xue, X Mao, Y Lu, Y Yu, S Wang IEEE Access 7, 111637-111648, 2019 | 12 | 2019 |
| Predictive comment updating with heuristics and ast-path-based neural learning: A two-phase approach B Lin, S Wang, Z Liu, X Xia, X Mao IEEE Transactions on Software Engineering 49 (4), 1640-1660, 2022 | 11 | 2022 |
| Peeler: Learning to Effectively Predict Flakiness without Running Tests Y Qin, S Wang, K Liu, B Lin, H Wu, L Li, X Mao, TFDA Bissyande Proceedings of the 38th IEEE International Conference on Software …, 2022 | 10 | 2022 |
| Recommending base image for docker containers based on deep configuration comprehension Y Zhang, Y Zhang, X Mao, Y Wu, B Lin, S Wang 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 9 | 2022 |
| Beep: Fine-grained fix localization by learning to predict buggy code elements S Wang, K Liu, B Lin, L Li, J Klein, X Mao, TF Bissyandé arXiv preprint arXiv:2111.07739, 2021 | 9 | 2021 |
| Understanding the non-repairability factors of automated program repair techniques B Lin, S Wang, M Wen, Z Zhang, H Wu, Y Qint, X Mao 2020 27th Asia-Pacific Software Engineering Conference (APSEC), 71-80, 2020 | 9 | 2020 |
Mao XiaoguangNational University of Defense TechnologyVerified email at nudt.edu.cn
