Ayse Tosun Misirli

According to our database, Ayse Tosun Misirli authored at least 74 papers between 2008 and 2024.

Collaborative distances:

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

2024

Exploring the relationship between refactoring and code debt indicators.

Rusen Halepmollasi, Ayse Tosun

J. Softw. Evol. Process., January, 2024

Analyzing the concept of technical debt in the context of agile software development: A systematic literature review.

Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun

CoRR, 2024

A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features.

Kagan Özgün, Ayse Tosun, Mehmet Tahir Sandikkaya

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024

2023

Automated Fairness Testing with Representative Sampling.

Umutcan Karakas, Ayse Tosun

Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, 2023

A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes.

Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Ayse Tosun

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022

What Leads to a Confirmatory or Disconfirmatory Behavior of Software Testers?

Iflaah Salman, Pilar Rodríguez, Burak Turhan, Ayse Tosun, Arda Gureller

IEEE Trans. Software Eng., 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

Predicting vulnerability inducing function versions using node embeddings and graph neural networks.

Sefa Eren Sahin, Ecem Mine Özyedierler, Ayse Tosun

Inf. Softw. Technol., 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

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

Profiling developers to predict vulnerable code changes.

Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Çomak De Cnudde, Ayse Tosun

Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, 2022

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

An empirical study on the effect of community smells on bug prediction.

Beyza Eken, Francis Palma, Ayse Basar, Ayse Tosun

Softw. Qual. J., 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

Investigating the performance of personalized models for software defect prediction.

Beyza Eken, Ayse Tosun

J. Syst. Softw., 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, Itir Karac, Marco Kuhrmann, Vladimir Mandic, Robert Ramac, Dietmar Pfahl, Christian Engblom, Jarno Kyykka, Kerli Rungi, Carolina Palomeque, Jaroslav Spisak, Markku Oivo, Natalia Juristo

Empir. Softw. Eng., 2021

A Condition Coverage-Based Black Hole Inspired Meta-Heuristic for Test Data Generation.

Derya Yeliz Ulutas, Ayse Tosun

Proceedings of the Joint Proceedings of SEED 2021 & QuASoQ 2021 co-located with 28th Asia Pacific Software Engineering Conference 2021, 2021

Predicting Requirements Volatility: An Industry Case Study.

Anil Holat, Ayse Tosun

Proceedings of the Joint Proceedings of SEED 2021 & QuASoQ 2021 co-located with 28th Asia Pacific Software Engineering Conference 2021, 2021

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

Customer requests matter: early stage software effort estimation using k-grams.

Kazim Kivanç Eren, Can Özbey, Beyza Eken, Ayse Tosun

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Predicting Stack Overflow Question Tags: A Multi-Class, Multi-Label Classification.

Eray Mert Kavuk, Ayse Tosun

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding.

Ege Apak, Ayse Tosun

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019

A systematic literature review on crowdsourcing in software engineering.

Asli Sari, Ayse Tosun, Gülfem Isiklar Alptekin

J. Syst. Softw., 2019

Predicting Popularity of Open Source Projects Using Recurrent Neural Networks.

Sefa Eren Sahin, Kubilay Karpat, Ayse Tosun

Proceedings of the Open Source Systems - 15th IFIP WG 2.13 International Conference, 2019

Predicting Defects with Latent and Semantic Features from Commit Logs in an Industrial Setting.

Beyza Eken, Rifat Atar, Sahra Sertalp, Ayse Tosun

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2019

A Conceptual Replication on Predicting the Severity of Software Vulnerabilities.

Sefa Eren Sahin, Ayse Tosun

Proceedings of the Evaluation and Assessment on Software Engineering, 2019

2018

[Research Paper] Periodic Developer Metrics in Software Defect Prediction.

Seldag Ozcan Kini, Ayse Tosun

Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

Lightweight source code monitoring with Triggr.

Alim Ozdemir, Ayse Tosun, Hakan Erdogmus, Rui Abreu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

On the effectiveness of unit tests in test-driven development.

Ayse Tosun, Muzamil Ahmed, Burak Turhan, Natalia Juristo

Proceedings of the 2018 International Conference on Software and System Process, 2018

Identifying bug-inducing changes for code additions.

Emre Sahal, Ayse Tosun

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

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

Analyzing the concept of technical debt in the context of agile software development: A systematic literature review.

Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun

Inf. Softw. Technol., 2017

Erratum to: Studying high impact fix-inducing changes.

Ayse Tosun, Emad Shihab, Yasutaka Kamei

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

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

Predicting defects using test execution logs in an industrial setting.

Ayse Tosun, Ozgur Turkgulu, Dogan Razon, Hamza Yusuf Aydemir, Arda Gureller

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Studying high impact fix-inducing changes.

Ayse Tosun Misirli, Emad Shihab, Yasutaka Kamei

Empir. Softw. Eng., 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

Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics, 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

If it is software engineering, it is (probably) a Bayesian factor.

Ayse Bener, Ayse Tosun

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

2015

Predicting defective modules in different test phases.

Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy

Softw. Qual. J., 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

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

Are Students Representatives of Professionals in Software Engineering Experiments?

Iflaah Salman, Ayse Tosun Misirli, Natalia Juristo Juzgado

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 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

Bayesian Networks For Evidence-Based Decision-Making in Software Engineering.

Ayse Tosun Misirli, Ayse Basar Bener

IEEE Trans. Software Eng., 2014

A survey on project factors that motivate Finnish software engineers.

Ayse Tosun Misirli, June M. Verner, Jouni Markkula, Markku Oivo

Proceedings of the IEEE 8th International Conference on Research Challenges in Information Science, 2014

Topic selection in industry experiments.

Ayse Tosun Misirli, Hakan Erdogmus, Natalia Juristo Juzgado, Oscar Dieste

Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry, 2014

A mapping study on bayesian networks for software quality prediction.

Ayse Tosun Misirli, Ayse Basar Bener

Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2014

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

Proceedings of the Recommendation Systems in Software Engineering, 2014

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

Empirical evaluation of the effects of mixed project data on learning defect predictors.

Burak Turhan, Ayse Tosun Misirli, Ayse Bener

Inf. Softw. Technol., 2013

2012

Modelling software reliability using hybrid Bayesian networks (Yazılım güvenilirliğinin hibrid Bayes ağları kullanılarak modellenmesi)

Ayse Tosun Misirli

PhD thesis, 2012

Dione: an integrated measurement and defect prediction solution.

Bora Caglayan, Ayse Tosun Misirli, Gul Calikli, Ayse Bener, Turgay Aytac, Burak Turhan

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

Factors characterizing reopened issues: a case study.

Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener

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

Modeling Human Aspects to Enhance Software Quality Management.

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

Proceedings of the International Conference on Information Systems, 2012

2011

An industrial case study of classifier ensembles for locating software defects.

Ayse Tosun Misirli, Ayse Basar Bener, Burak Turhan

Softw. Qual. J., 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 explanatory analysis on eclipse beta-release bugs through in-process metrics.

Ayse Tosun Misirli, Brendan Murphy, Thomas Zimmermann, Ayse Basar Bener

Proceedings of the 8th international workshop on Software quality, 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

Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics, 2011

Empirical Evaluation of Mixed-Project Defect Prediction Models.

Burak Turhan, Ayse Tosun Misirli, Ayse Basar Bener

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

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

Usage of multiple prediction models based on defect categories.

Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo

Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 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

Feature weighting heuristics for analogy-based effort estimation models.

Ayse Tosun, Burak Turhan, Ayse Basar Bener

Expert Syst. Appl., 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

Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry.

Ayse Tosun, Burak Turhan, Ayse Basar Bener

Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

Validation of network measures as indicators of defective modules in software systems.

Ayse Tosun, Burak Turhan, Ayse Basar Bener

Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

The effect of granularity level on software defect prediction.

Gul Calikli, Ayse Tosun, Ayse Basar Bener, Melih Celik

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

Implementation of a Software Quality Improvement Project in an SME: A Before and After Comparison.

Ayse Tosun, Ayse Basar Bener, Burak Turhan

Proceedings of the 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009

Reducing false alarms in software defect prediction by decision threshold optimization.

Ayse Tosun, Ayse Basar Bener

Proceedings of the Third International Symposium on Empirical Software Engineering and Measurement, 2009

2008

Ensemble of software defect predictors: a case study.

Ayse Tosun, Burak Turhan, Ayse Basar Bener

Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, 2008