Ekrem Kocaguneli

Ekrem started his CS career at Bogazici University, where he received his BSc and MS degrees. Currently he is a PhD candidate in LCSEE department at West Virginia University. His main research interests are using machine learning methods to find solutions to difficult software estimation problems, analysis of various types of software data and investigating for stable conclusions in empirical software engineering. He currently maintains a personal web site (www.kocaguneli.com), where he posts his ideas about software engineering problems, announces new papers accepted and so on. 
A list of his publications are:

• Journal
• J. Keung, E. Kocaguneli, T. Menzies, “Finding Conclusion Stability for Selecting the Best Effort Predictor in Software Effort Estimation”, Automated Software Engineering, to appear in 2012.
• E. Kocaguneli, T. Menzies, A. Bener, J. Keung, “Exploiting the Essential Assumptions of Analogy-based Effort Estimation”, IEEE Transactions on Software Engineering, vol. 38, no.2, pp. 425-438, March-April 2012.
• E. Kocaguneli, T. Menzies, J. Keung, “On the Value of Ensemble Effort Estimation”, IEEE Transactions on Software Engineering, pre-prints, 2011.
• E. Kocaguneli, T. Menzies, J. Keung, “Kernel Methods for Software Effort Estimation”, Empirical Software Engineering Journal, pre-prints, 2011.
• A. Brady, T. Menzies, E. Kocaguneli, “What Is Enough Quality for Data Repositories?”, Software Quality Professional, 2011.
• Conference
• E. Kocaguneli, T. Menzies, “How to Find Relevant Data for Effort Estimation”, International Symposium on Empirical Software Engineering and Measurement (ESEM) 2011
• E. Kocaguneli, B.Caglayan, A. Tosun, A. Bener, “Experiences on Developer Participation and Effort Estimation”, EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA) 2011 
• E. Kocaguneli, G. Gay, Y. Yang, T. Menzies, “When to Use Data from Other Projects for Effort Estimation”, International Conference on Automated Software Engineering (ASE) 2010
• E. Kocaguneli, A. Tosun, A. Bener, “AI-Based Models for Software Effort Estimation”, 36th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA) 2010
• E. Kocaguneli, Y. Kultur, A. Bener, “Combining Multiple Learners Induced on Multiple Datasets for Software Effort Prediction”, Proceedings of International Symposium on Software Reliability Engineering (ISSRE) 2009.
• E. Kocaguneli, A. Tosun, A. Bener, B. Turhan, B. Caglayan, “Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool”, Proceedings of International Conference on Software Engineering and Knowledge Engineering (SEKE) 2009.
• Ayse Tosun, Ayse Bener, Ekrem Kocaguneli, “BITS: Issue Tracking and Project Management Tool in Healthcare Software Development”, Proceedings of International Conference on Software Engineering and Knowledge Engineering (SEKE) 2009.
• A. Bakir, E. Kocaguneli, A. Tosun, A.Bener and B. Turhan “Xiruxe: An Intelligent Fault Tracking Tool”, Proceedings of International Conference on Artificial Intelligence and Pattern Recognition (AIPR) 2009.
• Y. Kultur, E. Kocaguneli, A. Bener, “Discovering Cost Related Features: Focus on Classification Models”, Poster Paper in Empirical Software Engineering and Measurement (ESEM) 2009.
• E. Kocaguneli, A. Tosun, B. Caglayan, A. Bener, T. Aytac, B. Turhan, “Bulutlarda Akilli Bir Yazilim Olcumleme, Hata Analiz ve Tahmin Araci: Prest”, (in Turkish), 2nd National Symposium on Software Engineering (UYMS) 2009
• Y. Kultur, E. Kocaguneli, A. Bener, “Domain Specific Phase by Phase Effort Estimation in Software Projects”, Proceedings of International Symposium on Computer and Information Sciences (ISCIS) 2009.