Ekrem Kocaguneli

23 papers A* 3A 2C 2Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2016	—	`ch.`	A success story in applying data science in practice. Perspectives on Data Science for Software Engineering Ayse Bener, Burak Turhan, Ayse Tosun, Bora Caglayan, Ekrem Kocaguneli
2015	—	`ch.`	Lessons Learned from Software Analytics in Practice. The Art and Science of Analyzing Software Data Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli
2015	J	`jnl`	Transfer learning in effort estimation. Empir. Softw. Eng. Ekrem Kocaguneli, Tim Menzies, Emilia Mendes
2014	A	`conf`	Defect Prediction between Software Versions with Active Learning and Dimensionality Reduction. ISSRE Huihua Lu, Ekrem Kocaguneli, Bojan Cukic
2013	J	`jnl`	Active Learning and Effort Estimation: Finding the Essential Content of Software Effort Estimation Data. IEEE Trans. Software Eng. Ekrem Kocaguneli, Tim Menzies, Jacky Keung, David R. Cok, Raymond J. Madachy
2013	—	`conf`	Building a second opinion: learning cross-company data. PROMISE Ekrem Kocaguneli, Bojan Cukic, Tim Menzies, Huihua Lu
2013	A*	`conf`	Data science for software engineering. ICSE Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku
2013	A*	`conf`	Distributed development considered harmful? ICSE Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Tim Menzies
2013	J	`jnl`	Finding conclusion stability for selecting the best effort predictor in software effort estimation. Autom. Softw. Eng. Jacky Keung, Ekrem Kocaguneli, Tim Menzies
2013	J	`jnl`	Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy. Empir. Softw. Eng. Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung
2013	—	`conf`	Predicting more from less: Synergies of learning. RAISE@ICSE Ekrem Kocaguneli, Bojan Cukic, Huihua Lu
2013	J	`jnl`	Software effort models should be assessed via leave-one-out validation. J. Syst. Softw. Ekrem Kocaguneli, Tim Menzies
2012	J	`jnl`	Exploiting the Essential Assumptions of Analogy-Based Effort Estimation. IEEE Trans. Software Eng. Ekrem Kocaguneli, Tim Menzies, Ayse Bener, Jacky W. Keung
2012	J	`jnl`	On the Value of Ensemble Effort Estimation. IEEE Trans. Software Eng. Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung
2012	—	`conf`	Size doesn't matter?: on the value of software size features for effort estimation. PROMISE Ekrem Kocaguneli, Tim Menzies, Jairus Hihn, Byeong Ho Kang
2011	—	`conf`	Experiences on Developer Participation and Effort Estimation. EUROMICRO-SEAA Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, Ayse Basar Bener
2011	A	`conf`	How to Find Relevant Data for Effort Estimation? ESEM Ekrem Kocaguneli, Tim Menzies
2010	—	`conf`	AI-Based Models for Software Effort Estimation. EUROMICRO-SEAA Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener
2010	J	`jnl`	Case-Based Reasoning for Reducing Software Development Effort. J. Softw. Eng. Appl. Adam Brady, Tim Menzies, Oussama El-Rawas, Ekrem Kocaguneli, Jacky W. Keung
2010	A*	`conf`	When to use data from other projects for effort estimation. ASE Ekrem Kocaguneli, Gregory Gay, Tim Menzies, Ye Yang, Jacky W. Keung
2009	C	`conf`	BITS: Issue Tracking and Project Management Tool in Healthcare Software Development. SEKE Ayse Tosun, Ayse Basar Bener, Ekrem Kocaguneli
2009	—	`conf`	Domain specific phase by phase effort estimation in software projects. ISCIS Yigit Kultur, Ekrem Kocaguneli, Ayse Basar Bener
2009	C	`conf`	Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. SEKE Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan