| 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 | 40 | 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 | 40 | 2016 |
| 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 | 38 | 2014 |
| An empirical study on the impact of Python dynamic features on change-proneness. B Wang, L Chen, W Ma, Z Chen, B Xu SEKE, 134-139, 2015 | 28 | 2015 |
| Speedoo: prioritizing performance optimization opportunities Z Chen, B Chen, L Xiao, X Wang, L Chen, Y Liu, B Xu Proceedings of the 40th International Conference on Software Engineering …, 2018 | 25 | 2018 |
| An empirical study on the characteristics of Python fine-grained source code change types W Lin, Z Chen, W Ma, L Chen, L Xu, B Xu 2016 IEEE international conference on software maintenance and evolution …, 2016 | 24 | 2016 |
| An empirical study on dynamic typing related practices in python systems Z Chen, Y Li, B Chen, W Ma, L Chen, B Xu Proceedings of the 28th International Conference on Program Comprehension, 83-93, 2020 | 20 | 2020 |
| A study on the changes of dynamic feature code when fixing bugs: towards the benefits and costs of Python dynamic features Z Chen, W Ma, W Lin, L Chen, Y Li, B Xu Science China Information Sciences 61, 1-18, 2018 | 20 | 2018 |
| Empirical analysis of network measures for predicting high severity software faults L Chen, W Ma, Y Zhou, L Xu, Z Wang, Z Chen, B Xu Science China Information Sciences 59, 1-18, 2016 | 19 | 2016 |
| Static slicing for Python first-class objects Z Xu, J Qian, L Chen, Z Chen, B Xu 2013 13th International Conference on Quality Software, 117-124, 2013 | 18 | 2013 |
| Impact analysis of cross-project bugs on software ecosystems W Ma, L Chen, X Zhang, Y Feng, Z Xu, Z Chen, Y Zhou, B Xu Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 16 | 2020 |
| Collaboration in software ecosystems: A study of work groups in open environment Z Chen, W Ma, L Chen, W Song Information and Software Technology 145, 106849, 2022 | 9 | 2022 |
| Hybrid information flow analysis for Python bytecode Z Chen, L Chen, B Xu 2014 11th Web Information System and Application Conference, 95-100, 2014 | 8 | 2014 |
| Tracking down dynamic feature code changes against Python software evolution Z Chen, W Ma, W Lin, L Chen, B Xu 2016 Third International Conference on Trustworthy Systems and their …, 2016 | 7 | 2016 |
| Recognizing potential runtime types from python docstrings Y Luo, W Ma, Y Li, Z Chen, L Chen Software Analysis, Testing, and Evolution: 8th International Conference …, 2018 | 5 | 2018 |
| Butterfly space: An architectural approach for investigating performance issues Y Zhao, L Xiao, X Wang, Z Chen, B Chen, Y Liu 2020 IEEE International Conference on Software Architecture (ICSA), 202-213, 2020 | 4 | 2020 |
| Evaluating test quality of Python libraries for IoT applications at the network edge Z Chen, C Jia, L Chen Wireless Networks, 1-16, 2023 | 1 | 2023 |
| Knowledge Graph Driven Inference Testing for Question Answering Software J Wang, Y Li, Z Chen, L Chen, X Zhang, Y Zhou Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
| Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base Y Cao, L Chen, Z Chen, J Zhong, X Zhang, L Wang International Journal of Software Engineering and Knowledge Engineering, 2024 | | 2024 |
| Diagnosis of package installation incompatibility via knowledge base Y Cao, Z Chen, X Zhang, Y Li, L Chen, L Wang Science of Computer Programming, 103098, 2024 | | 2024 |
