| 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 | 815 | 2012 |
| On the value of ensemble effort estimation E Kocaguneli, T Menzies, JW Keung IEEE Transactions on Software Engineering 38 (6), 1403-1416, 2011 | 321 | 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 | 302 | 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 | 252 | 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 | 245 | 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 | 182 | 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 | 160 | 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 | 144 | 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 | 117 | 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 | 113 | 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 | 111 | 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 | 106 | 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 | 104 | 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 | 88 | 2013 |
| Software design patterns classification and selection using text categorization approach S Hussain, J Keung, AA Khan Applied soft computing 58, 225-244, 2017 | 83 | 2017 |
| Software development cost estimation using analogy: a review J Keung 2009 Australian Software Engineering Conference, 327-336, 2009 | 82 | 2009 |
| 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 | 80 | 2019 |
| 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 | 80 | 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 | 75 | 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 | 69 | 2018 |
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE Fellow在 ncsu.edu 的电子邮件经过验证
