| Schedule of bad smell detection and resolution: A new way to save effort H Liu, Z Ma, W Shao, Z Niu IEEE transactions on Software Engineering 38 (1), 220-235, 2011 | 159 | 2011 |
| Deep learning based code smell detection H Liu, J Jin, Z Xu, Y Zou, Y Bu, L Zhang IEEE transactions on Software Engineering 47 (9), 1811-1837, 2019 | 158 | 2019 |
| Deep learning based feature envy detection H Liu, Z Xu, Y Zou Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 109 | 2018 |
| Emotion based automated priority prediction for bug reports Q Umer, H Liu, Y Sultan IEEE Access 6, 35743-35752, 2018 | 101 | 2018 |
| CNN-based automatic prioritization of bug reports Q Umer, H Liu, I Illahi IEEE Transactions on Reliability 69 (4), 1341-1354, 2019 | 93 | 2019 |
| Detecting duplications in sequence diagrams based on suffix trees H Liu, Z Ma, L Zhang, W Shao 2006 13th Asia Pacific Software Engineering Conference (APSEC'06), 269-276, 2006 | 92 | 2006 |
| What makes a good commit message? Y Tian, Y Zhang, KJ Stol, L Jiang, H Liu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 79 | 2022 |
| Monitor-Based Instant Software Refactoring H Liu, X Guo, W Shao IEEE Transactions on Software Engineering, 2013 | 70 | 2013 |
| Machine learning based recommendation of method names: How far are we L Jiang, H Liu, H Jiang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 69 | 2019 |
| Nomen est omen: Exploring and exploiting similarities between argument and parameter names H Liu, Q Liu, CA Staicu, M Pradel, Y Luo Proceedings of the 38th international conference on software engineering …, 2016 | 65 | 2016 |
| Traceability-enabled refactoring for managing just-in-time requirements N Niu, T Bhowmik, H Liu, Z Niu 2014 IEEE 22nd International Requirements Engineering Conference (RE), 133-142, 2014 | 63 | 2014 |
| Enhancing automated requirements traceability by resolving polysemy W Wang, N Niu, H Liu, Z Niu 2018 IEEE 26th International Requirements Engineering Conference (RE), 40-51, 2018 | 62 | 2018 |
| Facilitating software refactoring with appropriate resolution order of bad smells H Liu, L Yang, Z Niu, Z Ma, W Shao Proceedings of the 7th joint meeting of the European software engineering …, 2009 | 55 | 2009 |
| Deep learning based program generation from requirements text: Are we there yet? H Liu, M Shen, J Zhu, N Niu, G Li, L Zhang IEEE Transactions on Software Engineering 48 (4), 1268-1289, 2020 | 53 | 2020 |
| Identifying fragments to be extracted from long methods L Yang, H Liu, Z Niu 2009 16th Asia-Pacific Software Engineering Conference, 43-49, 2009 | 52 | 2009 |
| Dynamic and Automatic Feedback-Based Threshold Adaptation for Code Smell Detection H Liu, Q Liu, Z Niu, Y Liu IEEE Transactions on Software Engineering 42 (9), 2016 | 46 | 2016 |
| Identifying Renaming Opportunities by Expanding Conducted Rename Refactorings H Liu, Q Liu, Y Liu, Z Wang IEEE TRANSACTIONS ON SOFTWARE ENGINEERING 41 (9), 887-900, 2015 | 44 | 2015 |
| Conflict-aware schedule of software refactorings H Liu, G Li, ZY Ma, WZ Shao IET software 2 (5), 446-460, 2008 | 44 | 2008 |
| 元建模技术研究进展 刘辉 [1， 麻志毅 [1， 邵维忠 [1 软件学报 19 (006), 1317-1327, 2008 | 40 | 2008 |
| Recommending refactoring solutions based on traceability and code metrics AS Nyamawe, H Liu, Z Niu, W Wang, N Niu IEEE Access 6, 49460-49475, 2018 | 38 | 2018 |
Nan NiuUniversity of Cincinnatiuc.edu의 이메일 확인됨