| Mahakil: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction KE Bennin, J Keung, P Phannachitta, A Monden, S Mensah IEEE Transactions on Software Engineering 44 (6), 534-550, 2017 | 192 | 2017 |
| Improving bug localization with word embedding and enhanced convolutional neural networks Y Xiao, J Keung, KE Bennin, Q Mi Information and Software Technology 105, 17-29, 2019 | 58 | 2019 |
| On the relative value of data resampling approaches for software defect prediction KE Bennin, JW Keung, A Monden Empirical Software Engineering 24 (2), 602-636, 2019 | 40 | 2019 |
| Comparing learning to rank techniques in hybrid bug localization Z Shi, J Keung, KE Bennin, X Zhang Applied Soft Computing 62, 636-648, 2018 | 38 | 2018 |
| Empirical evaluation of cross-release effort-aware defect prediction models KE Bennin, K Toda, Y Kamei, J Keung, A Monden, N Ubayashi 2016 IEEE International Conference on Software Quality, Reliability and …, 2016 | 35 | 2016 |
| Improving bug localization with an enhanced convolutional neural network Y Xiao, J Keung, Q Mi, KE Bennin 2017 24th Asia-Pacific Software Engineering Conference (APSEC), 338-347, 2017 | 34 | 2017 |
| Investigating the effects of balanced training and testing datasets on effort-aware fault prediction models KE Bennin, J Keung, A Monden, Y Kamei, N Ubayashi 2016 IEEE 40th annual Computer software and applications conference (COMPSAC …, 2016 | 32 | 2016 |
| Cross project defect prediction using class distribution estimation and oversampling N Limsettho, KE Bennin, JW Keung, H Hata, K Matsumoto Information and Software Technology 100, 87-102, 2018 | 31 | 2018 |
| The significant effects of data sampling approaches on software defect prioritization and classification KE Bennin, J Keung, A Monden, P Phannachitta, S Mensah 2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017 | 31 | 2017 |
| Machine translation-based bug localization technique for bridging lexical gap Y Xiao, J Keung, KE Bennin, Q Mi Information and Software Technology 99, 58-61, 2018 | 30 | 2018 |
| Effects of geographical, socio-cultural and temporal distances on communication in global software development during requirements change management a pilot study AA Khan, J Keung, S Hussain, KE Bennin 2015 International Conference on Evaluation of Novel Approaches to Software …, 2015 | 30 | 2015 |
| On the value of a prioritization scheme for resolving self-admitted technical debt S Mensah, J Keung, J Svajlenko, KE Bennin, Q Mi Journal of Systems and Software 135, 37-54, 2018 | 27 | 2018 |
| Bug localization with semantic and structural features using convolutional neural network and cascade forest Y Xiao, J Keung, Q Mi, KE Bennin Proceedings of the 22nd International Conference on Evaluation and …, 2018 | 25 | 2018 |
| Duplex output software effort estimation model with self-guided interpretation S Mensah, J Keung, MF Bosu, KE Bennin Information and Software Technology 94, 1-13, 2018 | 24 | 2018 |
| Performance evaluation of ensemble methods for software fault prediction: An experiment S Hussain, J Keung, AA Khan, KE Bennin Proceedings of the ASWEC 2015 24th Australasian software engineering …, 2015 | 23 | 2015 |
| COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction S Feng, J Keung, X Yu, Y Xiao, KE Bennin, MA Kabir, M Zhang Information and Software Technology 129, 106432, 2021 | 22 | 2021 |
| Cross-project defect prediction using a credibility theory based naive bayes classifier WN Poon, KE Bennin, J Huang, P Phannachitta, JW Keung 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 22 | 2017 |
| Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning X Yu, M Wu, Y Jian, KE Bennin, M Fu, C Ma Soft Computing 22 (10), 3461-3472, 2018 | 19 | 2018 |
| Improving ranking-oriented defect prediction using a cost-sensitive ranking SVM X Yu, J Liu, JW Keung, Q Li, KE Bennin, Z Xu, J Wang, X Cui IEEE Transactions on Reliability 69 (1), 139-153, 2019 | 17 | 2019 |
| Detection of fault-prone classes using logistic regression based object-oriented metrics thresholds S Hussain, J Keung, AA Khan, KE Bennin 2016 IEEE International Conference on Software Quality, Reliability and …, 2016 | 16 | 2016 |
Jacky Wai KeungCity University of Hong KongVerified email at cityu.edu.hk
