The promise repository of empirical software engineering data T Menzies, B Caglayan, E Kocaguneli, J Krall, F Peters, B Turhan June, 2012 | 464 | 2012 |
Deepad: A generic framework based on deep learning for time series anomaly detection TS Buda, B Caglayan, H Assem Pacific-Asia conference on knowledge discovery and data mining, 577-588, 2018 | 76 | 2018 |
Predicting bug-fixing time: A replication study using an open source software project S Akbarinasaji, B Caglayan, A Bener journal of Systems and Software 136, 173-186, 2018 | 68 | 2018 |
Competition-based crowdsourcing software development: a multi-method study from a customer perspective KJ Stol, B Caglayan, B Fitzgerald IEEE Transactions on Software Engineering 45 (3), 237-260, 2017 | 53 | 2017 |
Merits of using repository metrics in defect prediction for open source projects B Caglayan, A Bener, S Koch 2009 ICSE Workshop on Emerging Trends in Free/Libre/Open Source Software …, 2009 | 51 | 2009 |
Defect prediction using social network analysis on issue repositories S Biçer, AB Bener, B Çağlayan Proceedings of the 2011 International Conference on Software and Systems …, 2011 | 48 | 2011 |
Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. E Kocaguneli, A Tosun, AB Bener, B Turhan, B Caglayan SEKE, 637-642, 2009 | 46 | 2009 |
Merits of organizational metrics in defect prediction: an industrial replication B Caglayan, B Turhan, A Bener, M Habayeb, A Miransky, E Cialini 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015 | 40 | 2015 |
The relationship between evolutionary coupling and defects in large industrial software S Kirbas, B Caglayan, T Hall, S Counsell, D Bowes, A Sen, A Bener Journal of Software: Evolution and Process 29 (4), e1842, 2017 | 38 | 2017 |
Identifying the value of data analytics in the context of government supervision: Insights from the customs domain B Rukanova, YH Tan, M Slegt, M Molenhuis, B van Rijnsoever, J Migeotte, ... Government Information Quarterly 38 (1), 101496, 2021 | 36 | 2021 |
The effect of evolutionary coupling on software defects: an industrial case study on a legacy system S Kirbas, A Sen, B Caglayan, A Bener, R Mahmutogullari Proceedings of the 8th ACM/IEEE International Symposium on Empirical …, 2014 | 34 | 2014 |
Usage of multiple prediction models based on defect categories B Caglayan, A Tosun, A Miranskyy, A Bener, N Ruffolo Proceedings of the 6th International Conference on Predictive Models in …, 2010 | 32 | 2010 |
Effect of developer collaboration activity on software quality in two large scale projects B Çaglayan, AB Bener Journal of Systems and Software 118, 288-296, 2016 | 30 | 2016 |
Predicting defective modules in different test phases B Caglayan, A Tosun Misirli, AB Bener, A Miranskyy Software Quality Journal 23, 205-227, 2015 | 30 | 2015 |
Different strokes for different folks: A case study on software metrics for different defect categories AT Mısırlı, B Çağlayan, AV Miranskyy, A Bener, N Ruffolo Proceedings of the 2nd international workshop on emerging trends in software …, 2011 | 29 | 2011 |
Does biomarker use in oncology improve clinical trial failure risk? A large‐scale analysis JL Parker, SS Kuzulugil, K Pereverzev, S Mac, G Lopes, Z Shah, ... Cancer Medicine 10 (6), 1955-1963, 2021 | 28 | 2021 |
A retrospective study of software analytics projects: In-depth interviews with practitioners AT Misirli, B Caglayan, A Bener, B Turhan IEEE software 30 (5), 54-61, 2013 | 28 | 2013 |
Emergence of developer teams in the collaboration network B Caglayan, AB Bener, A Miranskyy 2013 6th International Workshop on Cooperative and Human Aspects of Software …, 2013 | 23 | 2013 |
Experiences on developer participation and effort estimation E Kocaguneli, AT Misirli, B Caglayan, A Bener 2011 37th EUROMICRO Conference on Software Engineering and Advanced …, 2011 | 21 | 2011 |
Empirical models of social learning in a large, evolving network AB Bener, B Çağlayan, AD Henry, P Prałat PloS one 11 (10), e0160307, 2016 | 19 | 2016 |