Bora Caglayan
Bora Caglayan
Huawei European Research Institute
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Geciteerd door
Geciteerd door
The promise repository of empirical software engineering data
T Menzies, B Caglayan, E Kocaguneli, J Krall, F Peters, B Turhan
West Virginia University, Department of Computer Science, 2012
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
Defect prediction using social network analysis on issue repositories
S BiÁer, AB Bener, B «ağlayan
Proceedings of the 2011 International Conference on Software and Systems†…, 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
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
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
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
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
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
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
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
Different strokes for different folks: A case study on software metrics for different defect categories
AT Mısırlı, B «ağlayan, AV Miranskyy, A Bener, N Ruffolo
Proceedings of the 2nd International Workshop on Emerging Trends in Software†…, 2011
Predicting defective modules in different test phases
B Caglayan, AT Misirli, AB Bener, A Miranskyy
Software Quality Journal 23 (2), 205-227, 2015
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
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
Dione: an integrated measurement and defect prediction solution
B Caglayan, AT Misirli, G Calikli, A Bener, T Aytac, B Turhan
Proceedings of the ACM SIGSOFT 20th International Symposium on the†…, 2012
Factors characterizing reopened issues: A case study
B Caglayan, AT Misirli, A Miranskyy, B Turhan, A Bener
Proceedings of the 8th International Conference on Predictive Models in†…, 2012
Effect of developer collaboration activity on software quality in two large scale projects
B «aglayan, AB Bener
Journal of Systems and Software 118, 288-296, 2016
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
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure
A Miranskyy, B Caglayan, A Bener, E Cialini
Proceedings of the 8th ACM/IEEE International Symposium on Empirical†…, 2014
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