Ensemble of software defect predictors: a case study. - Ayse Tosun; Burak Turhan; Ayse Basar Bener (ESEM, 2008)

Reducing false alarms in software defect prediction by decision threshold optimization. - Ayse Tosun; Ayse Basar Bener (ESEM, 2009)

Implementation of a Software Quality Improvement Project in an SME: A Before and After Comparison. - Ayse Tosun; Ayse Basar Bener; Burak Turhan (EUROMICRO-SEAA, 2009)

The effect of granularity level on software defect prediction. - Gul Calikli; Ayse Tosun; Ayse Basar Bener; Melih Celik (ISCIS, 2009)

Validation of network measures as indicators of defective modules in software systems. - Ayse Tosun; Burak Turhan; Ayse Basar Bener (PROMISE, 2009)

Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry. - Ayse Tosun; Burak Turhan; Ayse Basar Bener (PROMISE, 2009)

Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. - Ekrem Kocaguneli; Ayse Tosun; Ayse Basar Bener; Burak Turhan; Bora Caglayan (SEKE, 2009)

BITS: Issue Tracking and Project Management Tool in Healthcare Software Development. - Ayse Tosun; Ayse Basar Bener; Ekrem Kocaguneli (SEKE, 2009)

Feature weighting heuristics for analogy-based effort estimation models. - Ayse Tosun; Burak Turhan; Ayse Basar Bener (Expert Syst. Appl., 2009)

AI-Based Models for Software Effort Estimation. - Ekrem Kocaguneli; Ayse Tosun; Ayse Basar Bener (EUROMICRO-SEAA, 2010)

Usage of multiple prediction models based on defect categories. - Bora Caglayan; Ayse Tosun; Andriy V. Miranskyy; Ayse Basar Bener; Nuzio Ruffolo (PROMISE, 2010)

Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry. - Ayse Tosun; Ayse Basar Bener; Burak Turhan; Tim Menzies (Inf. Softw. Technol., 2010)

Experiences on Developer Participation and Effort Estimation. - Ekrem Kocaguneli; Ayse Tosun Misirli; Bora Caglayan; Ayse Basar Bener (EUROMICRO-SEAA, 2011)

Empirical Evaluation of Mixed-Project Defect Prediction Models. - Burak Turhan; Ayse Tosun Misirli; Ayse Basar Bener (EUROMICRO-SEAA, 2011)

Different strokes for different folks: a case study on software metrics for different defect categories. - Ayse Tosun Misirli; Bora Çaglayan; Andriy V. Miranskyy; Ayse Bener; Nuzio Ruffolo (WETSoM, 2011)

An explanatory analysis on eclipse beta-release bugs through in-process metrics. - Ayse Tosun Misirli; Brendan Murphy; Thomas Zimmermann 001; Ayse Basar Bener (WoSQ@ESEC/FSE, 2011)

AI-Based Software Defect Predictors: Applications and Benefits in a Case Study. - Ayse Tosun Misirli; Ayse Basar Bener; Resat Kale (AI Mag., 2011)

An industrial case study of classifier ensembles for locating software defects. - Ayse Tosun Misirli; Ayse Basar Bener; Burak Turhan (Softw. Qual. J., 2011)

Modeling Human Aspects to Enhance Software Quality Management. - Gul Calikli; Ayse Bener; Bora Caglayan; Ayse Tosun Misirli (ICIS, 2012)

Factors characterizing reopened issues: a case study. - Bora Caglayan; Ayse Tosun Misirli; Andriy V. Miranskyy; Burak Turhan; Ayse Bener (PROMISE, 2012)

Dione: an integrated measurement and defect prediction solution. - Bora Caglayan; Ayse Tosun Misirli; Gul Calikli; Ayse Bener; Turgay Aytac; Burak Turhan (SIGSOFT FSE, 2012)

Modelling software reliability using hybrid Bayesian networks (Yazılım güvenilirliğinin hibrid Bayes ağları kullanılarak modellenmesi) - Ayse Tosun Misirli (2012)

Empirical evaluation of the effects of mixed project data on learning defect predictors. - Burak Turhan; Ayse Tosun Misirli; Ayse Bener (Inf. Softw. Technol., 2013)

A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners. - Ayse Tosun Misirli; Bora Caglayan; Ayse Bener; Burak Turhan (IEEE Softw., 2013)

Field Studies - A Methodology for Construction and Evaluation of Recommendation Systems in Software Engineering. - Ayse Tosun Misirli; Ayse Bener; Bora Çaglayan; Gül Çalikli; Burak Turhan (Recommendation Systems in Software Engineering, 2014)

A mapping study on bayesian networks for software quality prediction. - Ayse Tosun Misirli; Ayse Basar Bener (RAISE, 2014)

Topic selection in industry experiments. - Ayse Tosun Misirli; Hakan Erdogmus; Natalia Juristo Juzgado; Oscar Dieste (CESI, 2014)

A survey on project factors that motivate Finnish software engineers. - Ayse Tosun Misirli; June M. Verner; Jouni Markkula; Markku Oivo (RCIS, 2014)

Bayesian Networks For Evidence-Based Decision-Making in Software Engineering. - Ayse Tosun Misirli; Ayse Basar Bener (IEEE Trans. Software Eng., 2014)

Lessons Learned from Software Analytics in Practice. - Ayse Bener; Ayse Tosun Misirli; Bora Caglayan; Ekrem Kocaguneli; Gul Calikli (The Art and Science of Analyzing Software Data, 2015)

Are Students Representatives of Professionals in Software Engineering Experiments? - Iflaah Salman; Ayse Tosun Misirli; Natalia Juristo Juzgado (ICSE (1), 2015)

Factors Affecting Team Motivation: A Survey of Finnish Software Engineers. - Ayse Tosun Misirli; June M. Verner; Jouni Markkula; Markku Oivo (Int. J. Inf. Syst. Model. Des., 2015)

Towards an operationalization of test-driven development skills: An industrial empirical study. - Davide Fucci; Burak Turhan; Natalia Juristo Juzgado; Oscar Dieste; Ayse Tosun Misirli; Markku Oivo (Inf. Softw. Technol., 2015)

Predicting defective modules in different test phases. - Bora Caglayan; Ayse Tosun Misirli; Ayse Basar Bener; Andriy V. Miranskyy (Softw. Qual. J., 2015)

If it is software engineering, it is (probably) a Bayesian factor. - Ayse Bener; Ayse Tosun (Perspectives on Data Science for Software Engineering, 2016)

A success story in applying data science in practice. - Ayse Bener; Burak Turhan; Ayse Tosun; Bora Caglayan; Ekrem Kocaguneli (Perspectives on Data Science for Software Engineering, 2016)

A metric suite proposal for logical dependency. - Shirin Akbarinasaji; Behjat Soltanifar; Bora Çaglayan; Ayse Basar Bener; Andriy V. Miranskyy; Asli Filiz; Bryan M. Kramer; Ayse Tosun (WETSoM@ICSE, 2016)

Studying high impact fix-inducing changes. - Ayse Tosun Misirli; Emad Shihab; Yasutaka Kamei (Empir. Softw. Eng., 2016)

Predicting defects using test execution logs in an industrial setting. - Ayse Tosun; Ozgur Turkgulu; Dogan Razon; Hamza Yusuf Aydemir; Arda Gureller (ICSE (Companion Volume), 2017)

Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study. - Oscar Dieste; Alejandrina M. Aranda; Fernando Uyaguari Uyaguari; Burak Turhan; Ayse Tosun; Davide Fucci; Markku Oivo; Natalia Juristo (Empir. Softw. Eng., 2017)

An industry experiment on the effects of test-driven development on external quality and productivity. - Ayse Tosun; Oscar Dieste; Davide Fucci; Sira Vegas; Burak Turhan; Hakan Erdogmus; Adrian Santos; Markku Oivo; Kimmo Toro; Janne Järvinen; Natalia Juristo (Empir. Softw. Eng., 2017)

Erratum to: Studying high impact fix-inducing changes. - Ayse Tosun; Emad Shihab; Yasutaka Kamei (Empir. Softw. Eng., 2017)

Analyzing the concept of technical debt in the context of agile software development: A systematic literature review. - Woubshet Nema Behutiye; Pilar Rodríguez 002; Markku Oivo; Ayse Tosun (Inf. Softw. Technol., 2017)

A systematic literature review on the applications of Bayesian networks to predict software quality. - Ayse Tosun; Ayse Basar Bener; Shirin Akbarinasaji (Softw. Qual. J., 2017)

Identifying bug-inducing changes for code additions. - Emre Sahal; Ayse Tosun (ESEM, 2018)

On the effectiveness of unit tests in test-driven development. - Ayse Tosun; Muzamil Ahmed; Burak Turhan; Natalia Juristo (ICSSP, 2018)

Lightweight source code monitoring with Triggr. - Alim Ozdemir; Ayse Tosun; Hakan Erdogmus; Rui Abreu 001 (ASE, 2018)

[Research Paper] Periodic Developer Metrics in Software Defect Prediction. - Seldag Ozcan Kini; Ayse Tosun (SCAM, 2018)

A Conceptual Replication on Predicting the Severity of Software Vulnerabilities. - Sefa Eren Sahin; Ayse Tosun (EASE, 2019)

Predicting Defects with Latent and Semantic Features from Commit Logs in an Industrial Setting. - Beyza Eken; Rifat Atar; Sahra Sertalp; Ayse Tosun (ASE Workshops, 2019)

Predicting Popularity of Open Source Projects Using Recurrent Neural Networks. - Sefa Eren Sahin; Kubilay Karpat; Ayse Tosun (OSS, 2019)

A systematic literature review on crowdsourcing in software engineering. - Asli Sari; Ayse Tosun; Gülfem Isiklar Alptekin (J. Syst. Softw., 2019)

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. - Ege Apak; Ayse Tosun (ICSE (Workshops), 2020)

Predicting Stack Overflow Question Tags: A Multi-Class, Multi-Label Classification. - Eray Mert Kavuk; Ayse Tosun (ICSE (Workshops), 2020)

Customer requests matter: early stage software effort estimation using k-grams. - Kazim Kivanç Eren; Can Özbey; Beyza Eken; Ayse Tosun (SAC, 2020)

Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering. - Ayse Tosun; Shane McIntosh; Leandro L. Minku; Burak Turhan (Empir. Softw. Eng., 2020)

Predicting Requirements Volatility: An Industry Case Study. - Anil Holat; Ayse Tosun (SEED/QuASoQ@APSEC, 2021)

A Condition Coverage-Based Black Hole Inspired Meta-Heuristic for Test Data Generation. - Derya Yeliz Ulutas; Ayse Tosun (SEED/QuASoQ@APSEC, 2021)

A family of experiments on test-driven development. - Adrian Santos; Sira Vegas; Oscar Dieste; Fernando Uyaguari; Ayse Tosun; Davide Fucci; Burak Turhan; Giuseppe Scanniello; Simone Romano 001; Itir Karac; Marco Kuhrmann; Vladimir Mandic; et al. (Empir. Softw. Eng., 2021)

Investigating the performance of personalized models for software defect prediction. - Beyza Eken; Ayse Tosun (J. Syst. Softw., 2021)

Deployment of a change-level software defect prediction solution into an industrial setting. - Beyza Eken; Selda Tufan; Alper Tunaboylu; Tevfik Guler; Rifat Atar; Ayse Tosun (J. Softw. Evol. Process., 2021)

An empirical study on the effect of community smells on bug prediction. - Beyza Eken; Francis Palma; Ayse Basar; Ayse Tosun (Softw. Qual. J., 2021)

Investigating the Impact of Development Task on External Quality in Test-Driven Development: An Industry Experiment. - Ayse Tosun; Oscar Dieste; Sira Vegas; Dietmar Pfahl; Kerli Rungi; Natalia Juristo (IEEE Trans. Software Eng., 2021)

Profiling developers to predict vulnerable code changes. - Tugce Coskun; Rusen Halepmollasi; Khadija Hanifi; Ramin Fadaei Fouladi; Pinar Çomak De Cnudde; Ayse Tosun (PROMISE, 2022)

Order dispatching for an ultra-fast delivery service via deep reinforcement learning. - Eray Mert Kavuk; Ayse Tosun; Mucahit Cevik; Aysun Bozanta; Sibel B. Sonuc; Mehmetcan Tutuncu; Bilgin Kosucu; Ayse Basar (Appl. Intell., 2022)

Courier routing and assignment for food delivery service using reinforcement learning. - Aysun Bozanta; Mucahit Cevik; Can Kavaklioglu; Eray Mert Kavuk; Ayse Tosun; Sibel B. Sonuc; Alper Duranel; Ayse Basar (Comput. Ind. Eng., 2022)

Predicting vulnerability inducing function versions using node embeddings and graph neural networks. - Sefa Eren Sahin; Ecem Mine Özyedierler; Ayse Tosun (Inf. Softw. Technol., 2022)

A deep reinforcement learning approach for the meal delivery problem. - Hadi Jahanshahi; Aysun Bozanta; Mucahit Cevik; Eray Mert Kavuk; Ayse Tosun; Sibel B. Sonuc; Bilgin Kosucu; Ayse Basar (Knowl. Based Syst., 2022)

What Leads to a Confirmatory or Disconfirmatory Behavior of Software Testers? - Iflaah Salman; Pilar Rodríguez 002; Burak Turhan; Ayse Tosun; Arda Gureller (IEEE Trans. Software Eng., 2022)

A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes. - Rusen Halepmollasi; Khadija Hanifi; Ramin Fadaei Fouladi; Ayse Tosun (ENASE, 2023)

Automated Fairness Testing with Representative Sampling. - Umutcan Karakas; Ayse Tosun (PROMISE, 2023)

A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features. - Kagan Özgün; Ayse Tosun; Mehmet Tahir Sandikkaya (ICISSP, 2024)

Analyzing the concept of technical debt in the context of agile software development: A systematic literature review. - Woubshet Nema Behutiye; Pilar Rodríguez 001; Markku Oivo; Ayse Tosun (CoRR, 2024)

A Multivocal Review of MLOps Practices, Challenges and Open Issues. - Beyza Eken; Samodha Pallewatta; Nguyen Khoi Tran 001; Ayse Tosun; Muhammad Ali Babar 001 (CoRR, 2024)

The role of slicing in test-driven development. - Oscar Dieste; Ayse Tosun; Sira Vegas; Adrian Santos; Fernando Uyaguari; Jarno Kyykka; Natalia Juristo (CoRR, 2024)

Exploring the relationship between refactoring and code debt indicators. - Rusen Halepmollasi; Ayse Tosun (J. Softw. Evol. Process., 2024)

Identifying Testing Behaviour in Open Source Projects: A Case Analysis for Apache Spark. - Asli Sari; Ayse Tosun; Gülfem Isiklar Alptekin (ENASE, 2025)