Ekrem Kocaguneli, Ph.D.
Affiliations: | 2012 | West Virginia University, Morgantown, WV, United States |
Area:
Computer Science, Management Business AdministrationGoogle:
"Ekrem Kocaguneli"Parents
Sign in to add mentorTim Menzies | grad student | 2012 | West Virginia University | |
(A Principled Methodology: A Dozen Principles of Software Effort Estimation.) |
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Publications
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Kocaguneli E, Menzies T, Mendes E. (2015) Transfer learning in effort estimation Empirical Software Engineering. 20: 813-843 |
Kocaguneli E, Menzies T, Keung J, et al. (2013) Active Learning and effort estimation: Finding the essential content of software effort estimation data Ieee Transactions On Software Engineering. 39: 1040-1053 |
Kocaguneli E, Cukic B, Lu H. (2013) Predicting more from less: Synergies of learning 2013 2nd International Workshop On Realizing Artificial Intelligence Synergies in Software Engineering, Raise 2013 - Proceedings. 42-48 |
Menzies T, Kocaguneli E, Peters F, et al. (2013) Data science for software engineering Proceedings - International Conference On Software Engineering. 1484-1486 |
Kocaguneli E, Zimmermann T, Bird C, et al. (2013) Distributed development considered harmful? Proceedings - International Conference On Software Engineering. 882-890 |
Kocaguneli E, Menzies T. (2013) Software effort models should be assessed via leave-one-out validation Journal of Systems and Software. 86: 1879-1890 |
Kocaguneli E, Menzies T, Keung JW. (2013) Kernel methods for software effort estimation: Effects of different kernel functions and bandwidths on estimation accuracy Empirical Software Engineering. 18: 1-24 |
Keung J, Kocaguneli E, Menzies T. (2013) Finding conclusion stability for selecting the best effort predictor in software effort estimation Automated Software Engineering. 20: 543-567 |
Kocaguneli E, Menzies T, Hihn J, et al. (2012) Size doesn't matter? On the value of software size features for effort estimation Acm International Conference Proceeding Series. 89-98 |
Kocaguneli E, Menzies T, Bener AB, et al. (2012) Exploiting the essential assumptions of analogy-based effort estimation Ieee Transactions On Software Engineering. 38: 425-438 |