| How far we have progressed in the journey? an examination of cross-project defect prediction Y Zhou, Y Yang, H Lu, L Chen, Y Li, Y Zhao, J Qian, B Xu ACM Transactions on Software Engineering and Methodology (TOSEM) 27 (1), 1-51, 2018 | 201 | 2018 |
| Python probabilistic type inference with natural language support Z Xu, X Zhang, L Chen, K Pei, B Xu Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 116 | 2016 |
| The ability of object-oriented metrics to predict change-proneness: a meta-analysis H Lu, Y Zhou, B Xu, H Leung, L Chen Empirical software engineering 17, 200-242, 2012 | 116 | 2012 |
| How do developers fix cross-project correlated bugs? a case study on the github scientific python ecosystem W Ma, L Chen, X Zhang, Y Zhou, B Xu 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017 | 92 | 2017 |
| An in-depth study of the potentially confounding effect of class size in fault prediction Y Zhou, B Xu, H Leung, L Chen ACM Transactions on Software Engineering and Methodology (TOSEM) 23 (1), 1-51, 2014 | 89 | 2014 |
| Are slice-based cohesion metrics actually useful in effort-aware post-release fault-proneness prediction? An empirical study Y Yang, Y Zhou, H Lu, L Chen, Z Chen, B Xu, H Leung, Z Zhang IEEE Transactions on Software Engineering 41 (4), 331-357, 2015 | 81 | 2015 |
| Empirical analysis of network measures for effort-aware fault-proneness prediction W Ma, L Chen, Y Yang, Y Zhou, B Xu Information and Software Technology 69, 50-70, 2016 | 72 | 2016 |
| An unsupervised feature selection approach based on mutual information J Xu, Y Zhou, L Chen, B Xu Journal of Computer Research and Development 49 (2), 372-382, 2012 | 61 | 2012 |
| Multiple-boundary clustering and prioritization to promote neural network retraining W Shen, Y Li, L Chen, Y Han, Y Zhou, B Xu Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 60 | 2020 |
| Training data debugging for the fairness of machine learning software Y Li, L Meng, L Chen, L Yu, D Wu, Y Zhou, B Xu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 53 | 2022 |
| Test case prioritization for web service regression testing L Chen, Z Wang, L Xu, H Lu, B Xu 2010 Fifth IEEE International Symposium on Service Oriented System …, 2010 | 48 | 2010 |
| Understanding metric-based detectable smells in Python software: A comparative study Z Chen, L Chen, W Ma, X Zhou, Y Zhou, B Xu Information and Software Technology 94, 14-29, 2018 | 47 | 2018 |
| Detecting code smells in Python programs Z Chen, L Chen, W Ma, B Xu 2016 International Conference on Software Analysis, Testing and Evolution …, 2016 | 47 | 2016 |
| How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study Z Guo, S Liu, J Liu, Y Li, L Chen, H Lu, Y Zhou ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (4), 1-56, 2021 | 46 | 2021 |
| Dynamic slicing of Python programs Z Chen, L Chen, Y Zhou, Z Xu, WC Chu, B Xu 2014 IEEE 38th Annual Computer Software and Applications Conference, 219-228, 2014 | 45 | 2014 |
| Adaptive interaction fault location based on combinatorial testing Z Wang, B Xu, L Chen, L Xu 2010 10th International Conference on Quality Software, 495-502, 2010 | 42 | 2010 |
| RoScript: a visual script driven truly non-intrusive robotic testing system for touch screen applications J Qian, Z Shang, S Yan, Y Wang, L Chen Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 41 | 2020 |
| Case Studies on Testing with Compositional Metamorphic Relations 董国伟， 徐宝文， 陈林， 聂长海， 王璐璐 Journal of Southeast University (English Edition) 24 (4), 437-443, 2008 | 40 | 2008 |
| An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems YM Zhou, H Leung, QB Song, JJ Zhao, HM Lu, L Chen, BW Xu Science China-Information Sciences 55 (12), 2800, 2012 | 38 | 2012 |
| How well do pre-trained contextual language representations recommend labels for GitHub issues? J Wang, X Zhang, L Chen Knowledge-Based Systems 232, 107476, 2021 | 35 | 2021 |