Articles with public access mandates - Kwabena Ebo BenninLearn more
Not available anywhere: 14
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Comparing learning to rank techniques in hybrid bug localization
Z Shi, J Keung, KE Bennin, X Zhang
Applied Soft Computing 62, 636-648, 2018
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: National Natural Science Foundation of China
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
Assessing the significant impact of concept drift in software defect prediction
MA Kabir, JW Keung, KE Bennin, M Zhang
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019
Mandates: Research Grants Council, Hong Kong
Finding the best learning to rank algorithms for effort-aware defect prediction
X Yu, H Dai, L Li, X Gu, JW Keung, KE Bennin, F Li, J Liu
Information and Software Technology 157, 107165, 2023
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study
MA Kabir, J Keung, B Turhan, KE Bennin
Applied Soft Computing 113, 107870, 2021
Mandates: Research Grants Council, Hong Kong
Impact of the distribution parameter of data sampling approaches on software defect prediction models
KE Bennin, J Keung, A Monden
2017 24th Asia-Pacific Software Engineering Conference (APSEC), 630-635, 2017
Mandates: Research Grants Council, Hong Kong
A drift propensity detection technique to improve the performance for cross-version software defect prediction
MA Kabir, JW Keung, KE Bennin, M Zhang
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
Mandates: Research Grants Council, Hong Kong
Correlation between the frequent use of gang-of-four design patterns and structural complexity
S Hussain, J Keung, AA Khan, KE Bennin
2017 24th Asia-Pacific Software Engineering Conference (APSEC), 189-198, 2017
Mandates: Research Grants Council, Hong Kong
Available somewhere: 12
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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