Ekrem Kocaguneli

According to our database, Ekrem Kocaguneli authored at least 23 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

A success story in applying data science in practice.

Ayse Bener, Burak Turhan, Ayse Tosun, Bora Caglayan, Ekrem Kocaguneli

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015

Transfer learning in effort estimation.

Ekrem Kocaguneli, Tim Menzies, Emilia Mendes

Empir. Softw. Eng., 2015

Lessons Learned from Software Analytics in Practice.

Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli

Proceedings of the Art and Science of Analyzing Software Data, 2015

2014

Defect Prediction between Software Versions with Active Learning and Dimensionality Reduction.

Huihua Lu, Ekrem Kocaguneli, Bojan Cukic

Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering, 2014

2013

Active Learning and Effort Estimation: Finding the Essential Content of Software Effort Estimation Data.

Ekrem Kocaguneli, Tim Menzies, Jacky Keung, David R. Cok, Raymond J. Madachy

IEEE Trans. Software Eng., 2013

Software effort models should be assessed via leave-one-out validation.

Ekrem Kocaguneli, Tim Menzies

J. Syst. Softw., 2013

Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy.

Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung

Empir. Softw. Eng., 2013

Finding conclusion stability for selecting the best effort predictor in software effort estimation.

Jacky Keung, Ekrem Kocaguneli, Tim Menzies

Autom. Softw. Eng., 2013

Building a second opinion: learning cross-company data.

Ekrem Kocaguneli, Bojan Cukic, Tim Menzies, Huihua Lu

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

Data science for software engineering.

Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku

Proceedings of the 35th International Conference on Software Engineering, 2013

Distributed development considered harmful?

Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, Nachiappan Nagappan, Tim Menzies

Proceedings of the 35th International Conference on Software Engineering, 2013

Predicting more from less: Synergies of learning.

Ekrem Kocaguneli, Bojan Cukic, Huihua Lu

Proceedings of the 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2013

2012

On the Value of Ensemble Effort Estimation.

Ekrem Kocaguneli, Tim Menzies, Jacky W. Keung

IEEE Trans. Software Eng., 2012

Exploiting the Essential Assumptions of Analogy-Based Effort Estimation.

Ekrem Kocaguneli, Tim Menzies, Ayse Bener, Jacky W. Keung

IEEE Trans. Software Eng., 2012

Size doesn't matter?: on the value of software size features for effort estimation.

Ekrem Kocaguneli, Tim Menzies, Jairus Hihn, Byeong Ho Kang

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

2011

Experiences on Developer Participation and Effort Estimation.

Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, Ayse Basar Bener

Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2011, Oulu, Finland, August 30, 2011

How to Find Relevant Data for Effort Estimation?

Ekrem Kocaguneli, Tim Menzies

Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011

2010

Case-Based Reasoning for Reducing Software Development Effort.

Adam Brady, Tim Menzies, Oussama El-Rawas, Ekrem Kocaguneli, Jacky W. Keung

J. Softw. Eng. Appl., 2010

When to use data from other projects for effort estimation.

Ekrem Kocaguneli, Gregory Gay, Tim Menzies, Ye Yang, Jacky W. Keung

Proceedings of the ASE 2010, 2010

AI-Based Models for Software Effort Estimation.

Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener

Proceedings of the 36th EUROMICRO Conference on Software Engineering and Advanced Applications, 2010

2009

BITS: Issue Tracking and Project Management Tool in Healthcare Software Development.

Ayse Tosun, Ayse Basar Bener, Ekrem Kocaguneli

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool.

Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Domain specific phase by phase effort estimation in software projects.

Yigit Kultur, Ekrem Kocaguneli, Ayse Basar Bener

Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009