| 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 | 317 | 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 | 110 | 2019 |
| 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 | 98 | 2021 |
| On the relative value of data resampling approaches for software defect prediction KE Bennin, JW Keung, A Monden Empirical Software Engineering 24, 602-636, 2019 | 85 | 2019 |
| On the use of deep learning in software defect prediction G Giray, KE Bennin, Ö Köksal, Ö Babur, B Tekinerdogan Journal of Systems and Software 195, 111537, 2023 | 71 | 2023 |
| 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 | 65 | 2017 |
| 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 | 64 | 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 | 60 | 2018 |
| 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 | 52 | 2018 |
| 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 | 52 | 2016 |
| 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 | 51 | 2019 |
| 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 | 47 | 2017 |
| An empirical study of learning to rank techniques for effort-aware defect prediction X Yu, KE Bennin, J Liu, JW Keung, X Yin, Z Xu 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 46 | 2019 |
| 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, 3461-3472, 2018 | 46 | 2018 |
| Comparing learning to rank techniques in hybrid bug localization Z Shi, J Keung, KE Bennin, X Zhang Applied Soft Computing 62, 636-648, 2018 | 46 | 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 | 44 | 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 | 41 | 2018 |
| 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 | 41 | 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 | 36 | 2015 |
| An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction KE Bennin, A Tahir, SG MacDonell, J Börstler IET Software 16 (2), 185-199, 2022 | 29 | 2022 |
Jacky Wai KeungCity University of Hong KongVerified email at cityu.edu.hk
