Ayse Tosun

63 papers A* 1A 5B 4C 5Misc 1Journal 27Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multivocal Review of MLOps Practices, Challenges and Open Issues.
ACM Comput. Surv.
Beyza Eken, Samodha Pallewatta, Nguyen Khoi Tran, Ayse Tosun, Muhammad Ali Babar
2025 B conf
Identifying Testing Behaviour in Open Source Projects: A Case Analysis for Apache Spark.
ENASE
Asli Sari, Ayse Tosun, Gülfem Isiklar Alptekin
2025 J jnl
Predicting Vulnerable Code Changes Using Technical Debt Indicators.
IEEE Access
Rusen Akkus Halepmollasi, Ayse Tosun
2025 — ed.
Proceedings of the 2025 29th International Conference on Evaluation and Assessment in Software Engineering Companion, EASE Companion 2025, Istanbul, Turkey, June 17-20, 2025
EASE Companion
Muhammad Ali Babar, Ayse Tosun, Stefan Wagner, Viktoria Stray
2025 A ed.
Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, EASE 2025, Istanbul, Turkey, June 17-20, 2025
EASE
Muhammad Ali Babar, Ayse Tosun, Stefan Wagner, Viktoria Stray
2024 J jnl
A Multivocal Review of MLOps Practices, Challenges and Open Issues.
CoRR
Beyza Eken, Samodha Pallewatta, Nguyen Khoi Tran, Ayse Tosun, Muhammad Ali Babar
2024 C conf
A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features.
ICISSP
Kagan Özgün, Ayse Tosun, Mehmet Tahir Sandikkaya
2024 J jnl
Analyzing the concept of technical debt in the context of agile software development: A systematic literature review.
CoRR
Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun
2024 J jnl
Exploring the relationship between refactoring and code debt indicators.
J. Softw. Evol. Process.
Rusen Halepmollasi, Ayse Tosun
2024 J jnl
The role of slicing in test-driven development.
CoRR
Oscar Dieste, Ayse Tosun, Sira Vegas, Adrian Santos, Fernando Uyaguari, Jarno Kyykka, Natalia Juristo
2023 B conf
A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes.
ENASE
Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Ayse Tosun
2023 — conf
Automated Fairness Testing with Representative Sampling.
PROMISE
Umutcan Karakas, Ayse Tosun
2022 J jnl
A deep reinforcement learning approach for the meal delivery problem.
Knowl. Based Syst.
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
2022 J jnl
Courier routing and assignment for food delivery service using reinforcement learning.
Comput. Ind. Eng.
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
2022 J jnl
Order dispatching for an ultra-fast delivery service via deep reinforcement learning.
Appl. Intell.
Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar
2022 J jnl
Predicting vulnerability inducing function versions using node embeddings and graph neural networks.
Inf. Softw. Technol.
Sefa Eren Sahin, Ecem Mine Özyedierler, Ayse Tosun
2022 — conf
Profiling developers to predict vulnerable code changes.
PROMISE
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Çomak De Cnudde, Ayse Tosun
2022 J jnl
What Leads to a Confirmatory or Disconfirmatory Behavior of Software Testers?
IEEE Trans. Software Eng.
Iflaah Salman, Pilar Rodríguez, Burak Turhan, Ayse Tosun, Arda Gureller
2021 — conf
A Condition Coverage-Based Black Hole Inspired Meta-Heuristic for Test Data Generation.
SEED/QuASoQ@APSEC
Derya Yeliz Ulutas, Ayse Tosun
2021 J jnl
A Deep Reinforcement Learning Approach for the Meal Delivery Problem.
CoRR
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
2021 J jnl
A family of experiments on test-driven development.
Empir. Softw. Eng.
Adrian Santos, Sira Vegas, Oscar Dieste, Fernando Uyaguari, Ayse Tosun, Davide Fucci, Burak Turhan, Giuseppe Scanniello, Simone Romano, Itir Karac, Marco Kuhrmann, Vladimir Mandic, Robert Ramac, Dietmar Pfahl, Christian Engblom, Jarno Kyykka, Kerli Rungi, Carolina Palomeque, Jaroslav Spisak, Markku Oivo, Natalia Juristo
2021 J jnl
An empirical study on the effect of community smells on bug prediction.
Softw. Qual. J.
Beyza Eken, Francis Palma, Ayse Basar, Ayse Tosun
2021 J jnl
Deployment of a change-level software defect prediction solution into an industrial setting.
J. Softw. Evol. Process.
Beyza Eken, Selda Tufan, Alper Tunaboylu, Tevfik Guler, Rifat Atar, Ayse Tosun
2021 J jnl
Investigating the Impact of Development Task on External Quality in Test-Driven Development: An Industry Experiment.
IEEE Trans. Software Eng.
Ayse Tosun, Oscar Dieste, Sira Vegas, Dietmar Pfahl, Kerli Rungi, Natalia Juristo
2021 J jnl
Investigating the performance of personalized models for software defect prediction.
J. Syst. Softw.
Beyza Eken, Ayse Tosun
2021 — conf
Predicting Requirements Volatility: An Industry Case Study.
SEED/QuASoQ@APSEC
Anil Holat, Ayse Tosun
2020 J jnl
A Family of Experiments on Test-Driven Development.
CoRR
Adrian Santos, Sira Vegas, Oscar Dieste, Fernando Uyaguari Uyaguari, Ayse Tosun, Davide Fucci, Burak Turhan, Giuseppe Scanniello, Simone Romano, Itir Karac, Marco Kuhrmann, Vladimir Mandic, Robert Ramac, Dietmar Pfahl, Christian Engblom, Jarno Kyykka, Kerli Rungi, Carolina Palomeque, Jaroslav Spisak, Markku Oivo, Natalia Juristo
2020 Misc conf
Customer requests matter: early stage software effort estimation using k-grams.
SAC
Kazim Kivanç Eren, Can Özbey, Beyza Eken, Ayse Tosun
2020 — conf
Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding.
ICSE (Workshops)
Ege Apak, Ayse Tosun
2020 J jnl
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering.
Empir. Softw. Eng.
Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan
2020 — conf
Predicting Stack Overflow Question Tags: A Multi-Class, Multi-Label Classification.
ICSE (Workshops)
Eray Mert Kavuk, Ayse Tosun
2019 A conf
A Conceptual Replication on Predicting the Severity of Software Vulnerabilities.
EASE
Sefa Eren Sahin, Ayse Tosun
2019 J jnl
A systematic literature review on crowdsourcing in software engineering.
J. Syst. Softw.
Asli Sari, Ayse Tosun, Gülfem Isiklar Alptekin
2019 — conf
Predicting Defects with Latent and Semantic Features from Commit Logs in an Industrial Setting.
ASE Workshops
Beyza Eken, Rifat Atar, Sahra Sertalp, Ayse Tosun
2019 — conf
Predicting Popularity of Open Source Projects Using Recurrent Neural Networks.
OSS
Sefa Eren Sahin, Kubilay Karpat, Ayse Tosun
2018 B conf
Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study.
ICSSP
Oscar Dieste, Alejandrina Aranda, Fernando Uyaguari Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo
2018 A conf
Identifying bug-inducing changes for code additions.
ESEM
Emre Sahal, Ayse Tosun
2018 A* conf
Lightweight source code monitoring with Triggr.
ASE
Alim Ozdemir, Ayse Tosun, Hakan Erdogmus, Rui Abreu
2018 B conf
On the effectiveness of unit tests in test-driven development.
ICSSP
Ayse Tosun, Muzamil Ahmed, Burak Turhan, Natalia Juristo
2018 — ed.
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2018, Oulu, Finland, October 10, 2018
PROMISE
Burak Turhan, Ayse Tosun, Shane McIntosh
2018 C conf
[Research Paper] Periodic Developer Metrics in Software Defect Prediction.
SCAM
Seldag Ozcan Kini, Ayse Tosun
2017 J jnl
A systematic literature review on the applications of Bayesian networks to predict software quality.
Softw. Qual. J.
Ayse Tosun, Ayse Basar Bener, Shirin Akbarinasaji
2017 J jnl
An industry experiment on the effects of test-driven development on external quality and productivity.
Empir. Softw. Eng.
Ayse Tosun, Oscar Dieste, Davide Fucci, Sira Vegas, Burak Turhan, Hakan Erdogmus, Adrian Santos, Markku Oivo, Kimmo Toro, Janne Järvinen, Natalia Juristo
2017 J jnl
Analyzing the concept of technical debt in the context of agile software development: A systematic literature review.
Inf. Softw. Technol.
Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun
2017 J jnl
Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study.
Empir. Softw. Eng.
Oscar Dieste, Alejandrina M. Aranda, Fernando Uyaguari Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo
2017 J jnl
Erratum to: Studying high impact fix-inducing changes.
Empir. Softw. Eng.
Ayse Tosun, Emad Shihab, Yasutaka Kamei
2017 — conf
Predicting defects using test execution logs in an industrial setting.
ICSE (Companion Volume)
Ayse Tosun, Ozgur Turkgulu, Dogan Razon, Hamza Yusuf Aydemir, Arda Gureller
2016 — conf
A metric suite proposal for logical dependency.
WETSoM@ICSE
Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun
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
2016 — ch.
If it is software engineering, it is (probably) a Bayesian factor.
Perspectives on Data Science for Software Engineering
Ayse Bener, Ayse Tosun
2010 — conf
AI-Based Models for Software Effort Estimation.
EUROMICRO-SEAA
Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener
2010 C conf
AI-Based Software Defect Predictors: Applications and Benefits in a Case Study.
IAAI
Ayse Tosun, Ayse Basar Bener, Resat Kale
2010 J jnl
Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry.
Inf. Softw. Technol.
Ayse Tosun, Ayse Basar Bener, Burak Turhan, Tim Menzies
2010 — conf
Usage of multiple prediction models based on defect categories.
PROMISE
Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo
2009 C conf
BITS: Issue Tracking and Project Management Tool in Healthcare Software Development.
SEKE
Ayse Tosun, Ayse Basar Bener, Ekrem Kocaguneli
2009 J jnl
Feature weighting heuristics for analogy-based effort estimation models.
Expert Syst. Appl.
Ayse Tosun, Burak Turhan, Ayse Basar Bener
2009 — conf
Implementation of a Software Quality Improvement Project in an SME: A Before and After Comparison.
EUROMICRO-SEAA
Ayse Tosun, Ayse Basar Bener, Burak Turhan
2009 — conf
Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry.
PROMISE
Ayse Tosun, Burak Turhan, 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
2009 A conf
Reducing false alarms in software defect prediction by decision threshold optimization.
ESEM
Ayse Tosun, Ayse Basar Bener
2009 — conf
The effect of granularity level on software defect prediction.
ISCIS
Gul Calikli, Ayse Tosun, Ayse Basar Bener, Melih Celik
2009 — conf
Validation of network measures as indicators of defective modules in software systems.
PROMISE
Ayse Tosun, Burak Turhan, Ayse Basar Bener
2008 A conf
Ensemble of software defect predictors: a case study.
ESEM
Ayse Tosun, Burak Turhan, Ayse Basar Bener