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 | 191 | 2015 |
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 | 165 | 2016 |
Deep code comment generation X Hu, G Li, X Xia, D Lo, Z Jin 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC …, 2018 | 163 | 2018 |
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 | 149 | 2013 |
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 | 146 | 2016 |
Accurate developer recommendation for bug resolution X Xia, D Lo, X Wang, B Zhou 2013 20th Working Conference on Reverse Engineering (WCRE), 72-81, 2013 | 133 | 2013 |
Predicting semantically linkable knowledge in developer online forums via convolutional neural network B Xu, D Ye, Z Xing, X Xia, G Chen, S Li 2016 31st IEEE/ACM International Conference on Automated Software …, 2016 | 112 | 2016 |
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 | 95 | 2017 |
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 | 91 | 2016 |
Automated prediction of bug report priority using multi-factor analysis Y Tian, D Lo, X Xia, C Sun Empirical Software Engineering 20 (5), 1354-1383, 2015 | 89 | 2015 |
What do developers search for on the web? X Xia, L Bao, D Lo, PS Kochhar, AE Hassan, Z Xing Empirical Software Engineering 22 (6), 3149-3185, 2017 | 84 | 2017 |
An empirical study of classifier combination for cross-project defect prediction Y Zhang, D Lo, X Xia, J Sun 2015 IEEE 39th Annual Computer Software and Applications Conference 2, 264-269, 2015 | 81 | 2015 |
Why and how developers fork what from whom in GitHub J Jiang, D Lo, J He, X Xia, PS Kochhar, L Zhang Empirical Software Engineering 22 (1), 547-578, 2017 | 74 | 2017 |
Combining word embedding with information retrieval to recommend similar bug reports X Yang, D Lo, X Xia, L Bao, J Sun 2016 IEEE 27Th international symposium on software reliability engineering …, 2016 | 73 | 2016 |
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 (5), 910-924, 2016 | 73 | 2016 |
Elblocker: Predicting blocking bugs with ensemble imbalance learning X Xia, D Lo, E Shihab, X Wang, X Yang Information and Software Technology 61, 93-106, 2015 | 73 | 2015 |
Who should review this change?: Putting text and file location analyses together for more accurate recommendations X Xia, D Lo, X Wang, X Yang 2015 IEEE International Conference on Software Maintenance and Evolution …, 2015 | 71 | 2015 |
Multi-factor duplicate question detection in stack overflow Y Zhang, D Lo, X Xia, JL Sun Journal of Computer Science and Technology 30 (5), 981-997, 2015 | 70 | 2015 |
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 | 69 | 2017 |
Automatic, high accuracy prediction of reopened bugs X Xia, D Lo, E Shihab, X Wang, B Zhou Automated Software Engineering 22 (1), 75-109, 2015 | 69 | 2015 |