Ayse Tosun

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 42

Top Topics

Literature Review

Software Defect

Open Source Projects

Top Venues

Empir. Softw. Eng.

Softw. Qual. J.

Publications

Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun
Analyzing the concept of technical debt in the context of agile software development: A systematic literature review. CoRR (2024)
Beyza Eken, Samodha Pallewatta, Nguyen Khoi Tran, Ayse Tosun, Muhammad Ali Babar
A Multivocal Review of MLOps Practices, Challenges and Open Issues. CoRR (2024)
Rusen Halepmollasi, Ayse Tosun
Exploring the relationship between refactoring and code debt indicators. J. Softw. Evol. Process. 36 (1) (2024)
Oscar Dieste, Ayse Tosun, Sira Vegas, Adrian Santos, Fernando Uyaguari, Jarno Kyykka, Natalia Juristo
The role of slicing in test-driven development. CoRR (2024)
Kagan Özgün, Ayse Tosun, Mehmet Tahir Sandikkaya
A Recommender System to Detect Distributed Denial of Service Attacks with Network and Transport Layer Features. ICISSP (2024)
Umutcan Karakas, Ayse Tosun
Automated Fairness Testing with Representative Sampling. PROMISE (2023)
Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Ayse Tosun
A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes. ENASE (2023)
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
A deep reinforcement learning approach for the meal delivery problem. Knowl. Based Syst. 243 (2022)
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
Courier routing and assignment for food delivery service using reinforcement learning. Comput. Ind. Eng. 164 (2022)
Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar
Order dispatching for an ultra-fast delivery service via deep reinforcement learning. Appl. Intell. 52 (4) (2022)
Sefa Eren Sahin, Ecem Mine Özyedierler, Ayse Tosun
Predicting vulnerability inducing function versions using node embeddings and graph neural networks. Inf. Softw. Technol. 145 (2022)
Iflaah Salman, Pilar Rodríguez, Burak Turhan, Ayse Tosun, Arda Gureller
What Leads to a Confirmatory or Disconfirmatory Behavior of Software Testers? IEEE Trans. Software Eng. 48 (4) (2022)
Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Comak De Cnudde, Ayse Tosun
Profiling developers to predict vulnerable code changes. PROMISE (2022)
Anil Holat, Ayse Tosun
Predicting Requirements Volatility: An Industry Case Study. SEED/QuASoQ@APSEC (2021)
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
A family of experiments on test-driven development. Empir. Softw. Eng. 26 (3) (2021)
Beyza Eken, Francis Palma, Ayse Basar, Ayse Tosun
An empirical study on the effect of community smells on bug prediction. Softw. Qual. J. 29 (1) (2021)
Derya Yeliz Ulutas, Ayse Tosun
A Condition Coverage-Based Black Hole Inspired Meta-Heuristic for Test Data Generation. SEED/QuASoQ@APSEC (2021)
Ayse Tosun, Oscar Dieste, Sira Vegas, Dietmar Pfahl, Kerli Rungi, Natalia Juristo
Investigating the Impact of Development Task on External Quality in Test-Driven Development: An Industry Experiment. IEEE Trans. Software Eng. 47 (11) (2021)
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
A Deep Reinforcement Learning Approach for the Meal Delivery Problem. CoRR (2021)
Beyza Eken, Selda Tufan, Alper Tunaboylu, Tevfik Guler, Rifat Atar, Ayse Tosun
Deployment of a change-level software defect prediction solution into an industrial setting. J. Softw. Evol. Process. 33 (11) (2021)
Beyza Eken, Ayse Tosun
Investigating the performance of personalized models for software defect prediction. J. Syst. Softw. 181 (2021)
Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering. Empir. Softw. Eng. 25 (2) (2020)
Kazim Kivanç Eren, Can Özbey, Beyza Eken, Ayse Tosun
Customer requests matter: early stage software effort estimation using k-grams. SAC (2020)
Eray Mert Kavuk, Ayse Tosun
Predicting Stack Overflow Question Tags: A Multi-Class, Multi-Label Classification. ICSE (Workshops) (2020)
Ege Apak, Ayse Tosun
Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. ICSE (Workshops) (2020)
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
A Family of Experiments on Test-Driven Development. CoRR (2020)
Asli Sari, Ayse Tosun, Gülfem Isiklar Alptekin
A systematic literature review on crowdsourcing in software engineering. J. Syst. Softw. 153 (2019)
Sefa Eren Sahin, Ayse Tosun
A Conceptual Replication on Predicting the Severity of Software Vulnerabilities. EASE (2019)
Beyza Eken, Rifat Atar, Sahra Sertalp, Ayse Tosun
Predicting Defects with Latent and Semantic Features from Commit Logs in an Industrial Setting. ASE Workshops (2019)
Sefa Eren Sahin, Kubilay Karpat, Ayse Tosun
Predicting Popularity of Open Source Projects Using Recurrent Neural Networks. OSS (2019)
Ayse Tosun, Muzamil Ahmed, Burak Turhan, Natalia Juristo
On the effectiveness of unit tests in test-driven development. ICSSP (2018)
Oscar Dieste, Alejandrina Aranda, Fernando Uyaguari Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo
Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study. ICSSP (2018)
Emre Sahal, Ayse Tosun
Identifying bug-inducing changes for code additions. ESEM (2018)
Seldag Ozcan Kini, Ayse Tosun
[Research Paper] Periodic Developer Metrics in Software Defect Prediction. SCAM (2018)
Alim Ozdemir, Ayse Tosun, Hakan Erdogmus, Rui Abreu
Lightweight source code monitoring with Triggr. ASE (2018)
Ayse Tosun, Emad Shihab, Yasutaka Kamei
Erratum to: Studying high impact fix-inducing changes. Empir. Softw. Eng. 22 (2) (2017)
Ayse Tosun, Ozgur Turkgulu, Dogan Razon, Hamza Yusuf Aydemir, Arda Gureller
Predicting defects using test execution logs in an industrial setting. ICSE (Companion Volume) (2017)
Woubshet Nema Behutiye, Pilar Rodríguez, Markku Oivo, Ayse Tosun
Analyzing the concept of technical debt in the context of agile software development: A systematic literature review. Inf. Softw. Technol. 82 (2017)
Ayse Tosun, Oscar Dieste, Davide Fucci, Sira Vegas, Burak Turhan, Hakan Erdogmus, Adrian Santos, Markku Oivo, Kimmo Toro, Janne Järvinen, Natalia Juristo
An industry experiment on the effects of test-driven development on external quality and productivity. Empir. Softw. Eng. 22 (6) (2017)
Oscar Dieste, Alejandrina M. Aranda, Fernando Uyaguari Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo
Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study. Empir. Softw. Eng. 22 (5) (2017)
Ayse Tosun, Ayse Basar Bener, Shirin Akbarinasaji
A systematic literature review on the applications of Bayesian networks to predict software quality. Softw. Qual. J. 25 (1) (2017)
Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun
A metric suite proposal for logical dependency. WETSoM@ICSE (2016)
Ayse Tosun, Ayse Basar Bener, Resat Kale
AI-Based Software Defect Predictors: Applications and Benefits in a Case Study. IAAI (2010)
Ayse Tosun, Ayse Basar Bener, Burak Turhan, Tim Menzies
Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry. Inf. Softw. Technol. 52 (11) (2010)
Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener
AI-Based Models for Software Effort Estimation. EUROMICRO-SEAA (2010)
Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo
Usage of multiple prediction models based on defect categories. PROMISE (2010)
Gul Calikli, Ayse Tosun, Ayse Basar Bener, Melih Celik
The effect of granularity level on software defect prediction. ISCIS (2009)
Ayse Tosun, Ayse Basar Bener, Burak Turhan
Implementation of a Software Quality Improvement Project in an SME: A Before and After Comparison. EUROMICRO-SEAA (2009)
Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan
Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. SEKE (2009)
Ayse Tosun, Burak Turhan, Ayse Basar Bener
Feature weighting heuristics for analogy-based effort estimation models. Expert Syst. Appl. 36 (7) (2009)
Ayse Tosun, Ayse Basar Bener, Ekrem Kocaguneli
BITS: Issue Tracking and Project Management Tool in Healthcare Software Development. SEKE (2009)
Ayse Tosun, Ayse Basar Bener
Reducing false alarms in software defect prediction by decision threshold optimization. ESEM (2009)
Ayse Tosun, Burak Turhan, Ayse Basar Bener
Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry. PROMISE (2009)
Ayse Tosun, Burak Turhan, Ayse Basar Bener
Validation of network measures as indicators of defective modules in software systems. PROMISE (2009)
Ayse Tosun, Burak Turhan, Ayse Basar Bener
Ensemble of software defect predictors: a case study. ESEM (2008)