Follow
Kwabena Ebo Bennin
Kwabena Ebo Bennin
Verified email at wur.nl
Title
Cited by
Cited by
Year
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
1922017
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
582019
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
402019
Comparing learning to rank techniques in hybrid bug localization
Z Shi, J Keung, KE Bennin, X Zhang
Applied Soft Computing 62, 636-648, 2018
382018
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
352016
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
342017
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
322016
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
312018
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
312017
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
302018
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
302015
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
272018
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
252018
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
242018
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
232015
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
222021
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
222017
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
192018
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
172019
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
162016
The system can't perform the operation now. Try again later.
Articles 1–20