Ekrem Kocaguneli

Most-cited papers

On the Value of Ensemble Effort Estimation
Ekrem Kocaguneli, T. Menzies, J. Keung
2012IEEE Transactions on Software Engineering274 citations
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Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
Ekrem Kocaguneli, T. Menzies, A. Bener, J. Keung
2012IEEE Transactions on Software Engineering211 citations Open access
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Active learning and effort estimation: Finding the essential content of software effort estimation data
Ekrem Kocaguneli, T. Menzies, J. Keung, D. Cok +1 more
2013IEEE Transactions on Software Engineering103 citations Open access
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Transfer learning in effort estimation
Ekrem Kocaguneli, T. Menzies, E. Mendes
2015Empirical Software Engineering99 citations
Semantic Scholar
Software effort models should be assessed via leave-one-out validation
Ekrem Kocaguneli, Tim Menzies
2013Journal of Systems and Software82 citations
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Finding conclusion stability for selecting the best effort predictor in software effort estimation
J. Keung, Ekrem Kocaguneli, T. Menzies
2012International Conference on Automated Software Engineering80 citations Open access
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Defect Prediction between Software Versions with Active Learning and Dimensionality Reduction
Huihua Lu, Ekrem Kocaguneli, B. Cukic
2014IEEE International Symposium on Software Reliability Engineering71 citations
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Sharing Data and Models in Software Engineering
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
201470 citations
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When to use data from other projects for effort estimation
Ekrem Kocaguneli, Gregory Gay, T. Menzies, Ye Yang +1 more
2010International Conference on Automated Software Engineering61 citations Open access
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How to Find Relevant Data for Effort Estimation?
Ekrem Kocaguneli, T. Menzies
2011International Symposium on Empirical Software Engineering and Measurement59 citations
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Kernel methods for software effort estimation
Ekrem Kocaguneli, T. Menzies, J. Keung
2013Empirical Software Engineering50 citations
Semantic Scholar
Distributed development considered harmful?
Ekrem Kocaguneli, Thomas Zimmermann, Christian Bird, N. Nagappan +1 more
2013International Conference on Software Engineering35 citations
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Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool
Ekrem Kocaguneli, Ayşe Tosun, A. Bener, Burak Turhan +1 more
2009International Conference on Software Engineering and Knowledge Engineering33 citations
Semantic Scholar
Combining Multiple Learners Induced on Multiple Datasets for Software Effort Prediction
Ekrem Kocaguneli, A. Bener
200932 citations
Semantic Scholar
Building a second opinion: learning cross-company data
Ekrem Kocaguneli, B. Cukic, T. Menzies, Huihua Lu
2013International Conference on Predictive Models in Software Engineering23 citations
Semantic Scholar
AI-Based Models for Software Effort Estimation
Ekrem Kocaguneli, Ayşe Tosun, A. Bener
2010EUROMICRO Conference on Software Engineering and Advanced Applications23 citations
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Experiences on Developer Participation and Effort Estimation
Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, A. Bener
2011EUROMICRO Conference on Software Engineering and Advanced Applications17 citations
Semantic Scholar
A Ranking Stability Indicator for Selecting the Best Effort Estimator in Software Cost Estimation
J. Keung, Ekrem Kocaguneli, T. Menzies
201116 citations
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Using Goals in Model-Based Reasoning
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems14 citations
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Lessons Learned from Software Analytics in Practice
A. Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli +1 more
2015The Art and Science of Analyzing Software Data14 citations
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Predicting more from less: Synergies of learning
Ekrem Kocaguneli, B. Cukic, Huihua Lu
20132013 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE)12 citations
Semantic Scholar
Size doesn't matter?: on the value of software size features for effort estimation
Ekrem Kocaguneli, T. Menzies, J. Hihn, B. Kang
2012International Conference on Predictive Models in Software Engineering12 citations
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Domain specific phase by phase effort estimation in software projects
Yigit Kultur, Ekrem Kocaguneli, A. Bener
2009International Symposium on Computer and Information Sciences11 citations
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Case-Based Reasoning for Reducing Software Development Effort
Adam Brady, T. Menzies, Oussama El-Rawas, Ekrem Kocaguneli +1 more
2010Journal of Software Engineering and Applications10 citations Open access
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Data science for software engineering
T. Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan +1 more
2013International Conference on Software Engineering9 citations
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Xiruxe: An intelligent fault tracking tool
Ayse Bakir, Ekrem Kocaguneli, Ayşe Tosun, A. Bener +1 more
20099 citations
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Sharing Data: Challenges and Methods
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems7 citations
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How To Keep Your Data Private
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems6 citations
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BITS: Issue Tracking and Project Management Tool in Healthcare Software Development
Ayse Tosun Misirli, A. Bener, Ekrem Kocaguneli
2009International Conference on Software Engineering and Knowledge Engineering4 citations
Semantic Scholar
Complexity: Using Assemblies of Multiple Models
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems3 citations
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Ensembles of Learning Machines
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems3 citations
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Compensating for Missing Data
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems2 citations
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Chapter 21 – How to Adapt Models in a Dynamic World
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems1 citations
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Rule #4: Data Science is Cyclic
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems1 citations
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A principled methodology: a dozen principles of software effort estimation
T. Menzies, Ekrem Kocaguneli
20121 citations Open access
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What is "Enough" Quality for Data Repositories?
T. Menzies, Adam Brady, Ekrem Kocaguneli
20111 citations
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A success story in applying data science in practice
A. Bener, Burak Turhan, Ayse Tosun, Bora Caglayan +1 more
2016Perspectives on Data Science for Software Engineering0 citations
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Sharing Models: Challenges and Methods
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Data Mining and SE
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Building Smarter Transfer Learners
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Rule #2: Know The Domain
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Chapter 25 – A Final Word
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Data Mining (Under The Hood)
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
Semantic Scholar
Rule #3: Suspect Your Data
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
Semantic Scholar
Rule #1: Talk to the Users
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Chapter 2 – Rules for Managers
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Active Learning: Learning More With Less
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
Semantic Scholar
Cross-Company Learning
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
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Sharing Less Data (Is a Good Thing)
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
Semantic Scholar
The Importance of Goals in Model-Based Reasoning
T. Menzies, Ekrem Kocaguneli, Leandro L. Minku, Fayola Peters +1 more
2015ACM/IEEE International Conference on Model Driven Engineering Languages and Systems0 citations
Semantic Scholar