| Deep code comment generation X Hu, G Li, X Xia, D Lo, Z Jin Proceedings of the 26th conference on program comprehension, 200-210, 2018 | 792 | 2018 |
| Smart contract development: Challenges and opportunities W Zou, D Lo, PS Kochhar, XBD Le, X Xia, Y Feng, Z Chen, B Xu IEEE transactions on software engineering 47 (10), 2084-2106, 2019 | 766 | 2019 |
| Deep learning for just-in-time defect prediction X Yang, D Lo, X Xia, Y Zhang, J Sun 2015 IEEE International conference on software quality, reliability and …, 2015 | 463 | 2015 |
| Practitioners' expectations on automated fault localization PS Kochhar, X Xia, D Lo, S Li Proceedings of the 25th international symposium on software testing and …, 2016 | 392 | 2016 |
| Measuring program comprehension: A large-scale field study with professionals X Xia, L Bao, D Lo, Z Xing, AE Hassan, S Li IEEE Transactions on Software Engineering 44 (10), 951-976, 2017 | 375 | 2017 |
| Summarizing source code with transferred API knowledge X Hu, G Li, X Xia, D Lo, S Lu, Z Jin | 329 | 2018 |
| Hydra: Massively compositional model for cross-project defect prediction X Xia, D Lo, SJ Pan, N Nagappan, X Wang IEEE Transactions on software Engineering 42 (10), 977-998, 2016 | 326 | 2016 |
| Detecting code clones with graph neural network and flow-augmented abstract syntax tree W Wang, G Li, B Ma, X Xia, Z Jin 2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020 | 304 | 2020 |
| Deep code comment generation with hybrid lexical and syntactical information X Hu, G Li, X Xia, D Lo, Z Jin Empirical Software Engineering 25, 2179-2217, 2020 | 282 | 2020 |
| A survey on deep learning for software engineering Y Yang, X Xia, D Lo, J Grundy ACM Computing Surveys (CSUR) 54 (10s), 1-73, 2022 | 278 | 2022 |
| Neural-machine-translation-based commit message generation: how far are we? Z Liu, X Xia, AE Hassan, D Lo, Z Xing, X Wang Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 265 | 2018 |
| What security questions do developers ask? a large-scale study of stack overflow posts XL Yang, D Lo, X Xia, ZY Wan, JL Sun Journal of Computer Science and Technology 31, 910-924, 2016 | 264 | 2016 |
| How does machine learning change software development practices? Z Wan, X Xia, D Lo, GC Murphy IEEE Transactions on Software Engineering 47 (9), 1857-1871, 2019 | 262 | 2019 |
| TLEL: A two-layer ensemble learning approach for just-in-time defect prediction X Yang, D Lo, X Xia, J Sun Information and Software Technology 87, 206-220, 2017 | 261 | 2017 |
| Code generation as a dual task of code summarization B Wei, G Li, X Xia, Z Fu, Z Jin Advances in neural information processing systems 32, 2019 | 255 | 2019 |
| How does working from home affect developer productivity?—A case study of Baidu during the COVID-19 pandemic L Bao, T Li, X Xia, K Zhu, H Li, X Yang Science China Information Sciences 65 (4), 142102, 2022 | 239 | 2022 |
| Tag recommendation in software information sites X Xia, D Lo, X Wang, B Zhou 2013 10th Working Conference on Mining Software Repositories (MSR), 287-296, 2013 | 225 | 2013 |
| API method recommendation without worrying about the task-API knowledge gap Q Huang, X Xia, Z Xing, D Lo, X Wang Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 219 | 2018 |
| Improving automated bug triaging with specialized topic model X Xia, D Lo, Y Ding, JM Al-Kofahi, TN Nguyen, X Wang IEEE Transactions on Software Engineering 43 (3), 272-297, 2016 | 213 | 2016 |
| Identifying self-admitted technical debt in open source projects using text mining Q Huang, E Shihab, X Xia, D Lo, S Li Empirical Software Engineering 23, 418-451, 2018 | 211 | 2018 |
David LoProfessor of Computer Science, Singapore Management UniversityEmail được xác minh tại smu.edu.sg