Članki z zahtevami za javni dostop - Jacky Wai KeungVeč o tem
Ni na voljo nikjer: 25
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
Zahteve: Research Grants Council, Hong Kong
Implications of deep learning for the automation of design patterns organization
S Hussain, J Keung, AA Khan, A Ahmad, S Cuomo, F Piccialli, G Jeon, ...
Journal of Parallel and Distributed Computing 117, 256-266, 2018
Zahteve: 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
Zahteve: 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
Zahteve: Research Grants Council, Hong Kong
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
Zahteve: 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
Zahteve: National Natural Science Foundation of China, 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
Zahteve: Research Grants Council, Hong Kong
An empirical analysis of three-stage data-preprocessing for analogy-based software effort estimation on the ISBSG data
J Huang, YF Li, JW Keung, YT Yu, WK Chan
2017 IEEE International Conference on Software Quality, Reliability and …, 2017
Zahteve: 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
Zahteve: 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
Zahteve: 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
Zahteve: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A deadline constrained preemptive scheduler using queuing systems for multi-tenancy clouds
R Jia, Y Yang, J Grundy, J Keung, H Li
2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 63-67, 2019
Zahteve: Research Grants Council, Hong Kong
Improving effort-aware defect prediction by directly learning to rank software modules
X Yu, J Rao, L Liu, G Lin, W Hu, JW Keung, J Zhou, J Xiang
Information and Software Technology 165, 107250, 2024
Zahteve: National Natural Science Foundation of China
Not all bug reopens are negative: A case study on eclipse bug reports
Q Mi, J Keung, Y Huo, S Mensah
Information and Software Technology 99, 93-97, 2018
Zahteve: 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
Zahteve: 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
Zahteve: Research Grants Council, Hong Kong
Automatic assessment via intelligent analysis of students’ program output patterns
CK Poon, TL Wong, CM Tang, JKL Li, YT Yu, VCS Lee
Blended Learning. Enhancing Learning Success: 11th International Conference …, 2018
Zahteve: Research Grants Council, Hong Kong
Improving domain-specific neural code generation with few-shot meta-learning
Z Yang, JW Keung, Z Sun, Y Zhao, G Li, Z Jin, S Liu, Y Li
Information and Software Technology 166, 107365, 2024
Zahteve: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A multi-objective effort-aware defect prediction approach based on NSGA-II
X Yu, L Liu, L Zhu, JW Keung, Z Wang, F Li
Applied Soft Computing 149, 110941, 2023
Zahteve: National Natural Science Foundation of China
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
Zahteve: Research Grants Council, Hong Kong
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