Kwabena Ebo Bennin
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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
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
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
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
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
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
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
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
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
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
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
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
Comparing learning to rank techniques in hybrid bug localization
Z Shi, J Keung, KE Bennin, X Zhang
Applied Soft Computing 62, 636-648, 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
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
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
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
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
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
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
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