Jacky Wai Keung
Cited by
Cited by
Empirical prediction models for adaptive resource provisioning in the cloud
S Islam, J Keung, K Lee, A Liu
Future Generation Computer Systems 28 (1), 155-162, 2012
On the value of ensemble effort estimation
E Kocaguneli, T Menzies, JW Keung
IEEE Transactions on Software Engineering 38 (6), 1403-1416, 2011
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
Robust statistical methods for empirical software engineering
B Kitchenham, L Madeyski, D Budgen, J Keung, P Brereton, S Charters, ...
Empirical Software Engineering 22, 579-630, 2017
Exploiting the essential assumptions of analogy-based effort estimation
E Kocaguneli, T Menzies, A Bener, JW Keung
IEEE transactions on software engineering 38 (2), 425-438, 2011
Systematic literature review and empirical investigation of barriers to process improvement in global software development: Client–vendor perspective
AA Khan, J Keung, M Niazi, S Hussain, A Ahmad
Information and Software Technology 87, 180-205, 2017
Analogy-X: providing statistical inference to analogy-based software cost estimation
JW Keung, BA Kitchenham, DR Jeffery
IEEE Transactions on Software Engineering 34 (4), 471-484, 2008
Evaluating guidelines for reporting empirical software engineering studies
B Kitchenham, H Al-Khilidar, MA Babar, M Berry, K Cox, J Keung, ...
Empirical Software Engineering 13, 97-121, 2008
Systematic review of success factors and barriers for software process improvement in global software development
AA Khan, J Keung
IET software 10 (5), 125-135, 2016
Active learning and effort estimation: Finding the essential content of software effort estimation data
E Kocaguneli, T Menzies, J Keung, D Cok, R Madachy
IEEE Transactions on software engineering 39 (8), 1040-1053, 2012
Application migration to cloud: A taxonomy of critical factors
V Tran, J Keung, A Liu, A Fekete
Proceedings of the 2nd international workshop on software engineering for …, 2011
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
Cross-validation based K nearest neighbor imputation for software quality datasets: an empirical study
J Huang, JW Keung, F Sarro, YF Li, YT Yu, WK Chan, H Sun
Journal of Systems and Software 132, 226-252, 2017
Finding conclusion stability for selecting the best effort predictor in software effort estimation
J Keung, E Kocaguneli, T Menzies
Automated Software Engineering 20, 543-567, 2013
Software design patterns classification and selection using text categorization approach
S Hussain, J Keung, AA Khan
Applied soft computing 58, 225-244, 2017
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
Software development cost estimation using analogy: a review
J Keung
2009 Australian Software Engineering Conference, 327-336, 2009
SPIIMM: toward a model for software process improvement implementation and management in global software development
AA Khan, JW Keung, M Abdullah-Al-Wadud
IEEE Access 5, 13720-13741, 2017
When to use data from other projects for effort estimation
E Kocaguneli, G Gay, T Menzies, Y Yang, JW Keung
Proceedings of the 25th IEEE/ACM International Conference on Automated …, 2010
Improving code readability classification using convolutional neural networks
Q Mi, J Keung, Y Xiao, S Mensah, Y Gao
Information and Software Technology 104, 60-71, 2018
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