Ekrem Kocaguneli

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