| A systematic review of software fault prediction studies C Catal, B Diri Expert systems with applications 36 (4), 7346-7354, 2009 | 524 | 2009 |
| Software fault prediction: A literature review and current trends C Catal Expert systems with applications 38 (4), 4626-4636, 2011 | 311 | 2011 |
| Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem C Catal, B Diri Information Sciences 179 (8), 1040-1058, 2009 | 299 | 2009 |
| On the use of ensemble of classifiers for accelerometer-based activity recognition C Catal, S Tufekci, E Pirmit, G Kocabag Applied Soft Computing 37, 1018-1022, 2015 | 176 | 2015 |
| A sentiment classification model based on multiple classifiers C Catal, M Nangir Applied Soft Computing 50, 135-141, 2017 | 166 | 2017 |
| Test case prioritization: a systematic mapping study C Catal, D Mishra Software Quality Journal 21 (3), 445-478, 2013 | 150 | 2013 |
| Clustering and metrics thresholds based software fault prediction of unlabeled program modules C Catal, U Sevim, B Diri 2009 Sixth International Conference on Information Technology: New …, 2009 | 101 | 2009 |
| Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm C Catal, U Sevim, B Diri Expert Systems with Applications 38 (3), 2347-2353, 2011 | 97 | 2011 |
| Performance evaluation metrics for software fault prediction studies C Catal Acta Polytechnica Hungarica 9 (4), 193-206, 2012 | 77 | 2012 |
| Analysis of transfer learning for deep neural network based plant classification models A Kaya, AS Keceli, C Catal, HY Yalic, H Temucin, B Tekinerdogan Computers and electronics in agriculture 158, 20-29, 2019 | 76 | 2019 |
| Software fault prediction with object-oriented metrics based artificial immune recognition system C Catal, B Diri International Conference on Product Focused Software Process Improvement …, 2007 | 54 | 2007 |
| An artificial immune system approach for fault prediction in object-oriented software C Catal, B Diri, B Ozumut 2nd International Conference on Dependability of Computer Systems (DepCoS …, 2007 | 51 | 2007 |
| Class noise detection based on software metrics and ROC curves C Catal, O Alan, K Balkan Information Sciences 181 (21), 4867-4877, 2011 | 47 | 2011 |
| A fault prediction model with limited fault data to improve test process C Catal, B Diri International Conference on Product Focused Software Process Improvement …, 2008 | 43 | 2008 |
| Empirical analysis of change metrics for software fault prediction GR Choudhary, S Kumar, K Kumar, A Mishra, C Catal Computers & Electrical Engineering 67, 15-24, 2018 | 40 | 2018 |
| Software defect prediction using artificial immune recognition system C Catal, B Diri Proceedings of the 25th conference on IASTED international multi-conference …, 2007 | 38 | 2007 |
| Unlabelled extra data do not always mean extra performance for semi‐supervised fault prediction C Catal, B Diri Expert Systems 26 (5), 458-471, 2009 | 33 | 2009 |
| Closing the Gap Between Software Engineering Education and Industrial Needs MF Vahid Garousi, Gorkem Giray, Eray Tuzun, Cagatay Catal IEEE Software 37 (2), 68-77, 2020 | 31* | 2020 |
| Barriers to the adoption of software product line engineering C Catal ACM SIGSOFT Software Engineering Notes 34 (6), 1-4, 2009 | 31 | 2009 |
| A comparison of semi-supervised classification approaches for software defect prediction C Catal Journal of Intelligent Systems 23 (1), 75-82, 2014 | 25 | 2014 |
dr.ir. Ayalew KassahunWageningen UniversityGeverifieerd e-mailadres voor wur.nl
