The strength of random search on automated program repair Y Qi, X Mao, Y Lei, Z Dai, C Wang Proceedings of the 36th international conference on software engineering …, 2014 | 447 | 2014 |
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 | 174 | 2020 |
Slice-based statistical fault localization X Mao, Y Lei, Z Dai, Y Qi, C Wang Journal of Systems and Software 89, 51-62, 2014 | 169 | 2014 |
Using automated program repair for evaluating the effectiveness of fault localization techniques Y Qi, X Mao, Y Lei, C Wang Proceedings of the 2013 International Symposium on Software Testing and …, 2013 | 130 | 2013 |
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 | 129 | 2020 |
Efficient automated program repair through fault-recorded testing prioritization Y Qi, X Mao, Y Lei 2013 IEEE International Conference on Software Maintenance, 180-189, 2013 | 127 | 2013 |
CNN-FL: An effective approach for localizing faults using convolutional neural networks Z Zhang, Y Lei, X Mao, P Li 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 111 | 2019 |
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 | 106 | 2021 |
Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning M Geng, S Wang, D Dong, H Wang, G Li, Z Jin, X Mao, X Liao Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 71 | 2024 |
Effective statistical fault localization using program slices Y Lei, X Mao, Z Dai, C Wang 2012 IEEE 36th Annual Computer Software and Applications Conference, 1-10, 2012 | 67 | 2012 |
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 | 63 | 2022 |
A general model for component-based software reliability M Xiaoguang, D Yongjin 2003 Proceedings 29th Euromicro Conference, 395-398, 2003 | 58 | 2003 |
Deep learning-based fault localization with contextual information Z Zhang, Y Lei, Q Tan, X Mao, P Zeng, X Chang IEICE TRANSACTIONS on Information and Systems 100 (12), 3027-3031, 2017 | 51 | 2017 |
A study of effectiveness of deep learning in locating real faults Z Zhang, Y Lei, X Mao, M Yan, L Xu, X Zhang Information and Software Technology 131, 106486, 2021 | 48 | 2021 |
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 | 48 | 2019 |
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 | 47 | 2022 |
Efficient automated repair of high floating-point errors in numerical libraries X Yi, L Chen, X Mao, T Ji Proceedings of the ACM on Programming Languages 3 (POPL), 1-29, 2019 | 47 | 2019 |
Automated program repair by using similar code containing fix ingredients T Ji, L Chen, X Mao, X Yi 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC …, 2016 | 43 | 2016 |
How test suites impact fault localisation starting from the size Y Lei, C Sun, X Mao, Z Su IET software 12 (3), 190-205, 2018 | 39 | 2018 |
A universal data augmentation approach for fault localization H Xie, Y Lei, M Yan, Y Yu, X Xia, X Mao Proceedings of the 44th International Conference on Software Engineering, 48-60, 2022 | 37 | 2022 |