| On the relative value of cross-company and within-company data for defect prediction B Turhan, T Menzies, AB Bener, J Di Stefano Empirical Software Engineering 14 (5), 540-578, 2009 | 876 | 2009 |
| Defect prediction from static code features: current results, limitations, new approaches T Menzies, Z Milton, B Turhan, B Cukic, Y Jiang, A Bener Automated software engineering 17 (4), 375-407, 2010 | 598 | 2010 |
| 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 | 460 | 2012 |
| Pandemic Programming: How COVID-19 affects software developers and how their organizations can help P Ralph, S Baltes, G Adisaputri, R Torkar, V Kovalenko, M Kalinowski, ... Empirical Software Engineering 25, 4927-4961, 2020 | 360 | 2020 |
| A Systematic Literature Review and Meta-analysis on Cross Project Defect Prediction R Hosseini, B Turhan, D Gunarathna IEEE Transactions on Software Engineering 45 (2), 111-147, 2019 | 334 | 2019 |
| Local versus global lessons for defect prediction and effort estimation T Menzies, A Butcher, D Cok, A Marcus, L Layman, F Shull, B Turhan, ... IEEE Transactions on software engineering 39 (6), 822-834, 2012 | 331 | 2012 |
| Empirical software engineering experts on the use of students and professionals in experiments D Falessi, N Juristo, C Wohlin, B Turhan, J Münch, A Jedlitschka, M Oivo Empirical Software Engineering 23, 452-489, 2018 | 253 | 2018 |
| Implications of ceiling effects in defect predictors T Menzies, B Turhan, A Bener, G Gay, B Cukic, Y Jiang Proceedings of the 4th international workshop on Predictor models in …, 2008 | 248 | 2008 |
| Analysis of Naive Bayes’ assumptions on software fault data: An empirical study B Turhan, A Bener Data & Knowledge Engineering 68 (2), 278-290, 2009 | 190 | 2009 |
| Empirical standards for software engineering research P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ... arXiv preprint arXiv:2010.03525, 2020 | 174* | 2020 |
| Cognitive biases in software engineering: a systematic mapping study R Mohanani, I Salman, B Turhan, P Rodríguez, P Ralph IEEE Transactions on Software Engineering 46 (12), 1318-1339, 2020 | 174 | 2020 |
| Empirical evaluation of the effects of mixed project data on learning defect predictors B Turhan, AT Mısırlı, A Bener Information and Software Technology 55 (6), 1101-1118, 2013 | 151 | 2013 |
| On the dataset shift problem in software engineering prediction models B Turhan Empirical Software Engineering 17 (1), 62-74, 2012 | 143 | 2012 |
| A dissection of the test-driven development process: does it really matter to test-first or to test-last? D Fucci, H Erdogmus, B Turhan, M Oivo, N Juristo IEEE Transactions on Software Engineering 43 (7), 597-614, 2016 | 133 | 2016 |
| A benchmark study on the effectiveness of search-based data selection and feature selection for cross project defect prediction S Hosseini, B Turhan, M Mäntylä Information and Software Technology 95, 296-312, 2018 | 125 | 2018 |
| What do we know about test-driven development? F Shull, G Melnik, B Turhan, L Layman, M Diep, H Erdogmus Software, IEEE 27 (6), 16-19, 2010 | 119 | 2010 |
| Software effort estimation using machine learning methods B Başkeleş, B Turhan, A Bener Computer and information sciences, 2007. iscis 2007. 22nd international …, 2007 | 117 | 2007 |
| Validation of network measures as indicators of defective modules in software systems A Tosun, B Turhan, A Bener Proceedings of the 5th international conference on predictor models in …, 2009 | 116 | 2009 |
| Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry A Tosun, A Bener, B Turhan, T Menzies Information and Software Technology 52 (11), 1242-1257, 2010 | 112 | 2010 |
| Sharing data and models in software engineering T Menzies, E Kocaguneli, B Turhan, L Minku, F Peters Morgan Kaufmann, 2014 | 102* | 2014 |
Ayşe (Bener) BaşarToronto Metropolitan University (formerly Ryerson University)確認したメール アドレス: torontomu.ca
