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

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

Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects. - Salifu Alhassan; Bora Caglayan; Ayse Basar Bener (SEKE, 2010)

Experiences on Developer Participation and Effort Estimation. - Ekrem Kocaguneli; Ayse Tosun Misirli; Bora Caglayan; 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)

Defect prediction using social network analysis on issue repositories. - Serdar Biçer; Ayse Basar Bener; Bora Çaglayan (ICSSP, 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)

Issue ownership activity in two large software projects. - Bora Caglayan; Ayse Bener (ACM SIGSOFT Softw. Eng. Notes, 2012)

Emergence of developer teams in the collaboration network. - Bora Caglayan; Ayse Basar Bener; Andriy V. Miranskyy (CHASE@ICSE, 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)

The Impact of Basic Matrix Factorization Refinements on Recommendation Accuracy. - Parisa Lak; Bora Çaglayan; Ayse Basar Bener (BDC, 2014)

The effect of evolutionary coupling on software defects: an industrial case study on a legacy system. - Serkan Kirbas; Alper Sen 001; Bora Caglayan; Ayse Bener; Rasim Mahmutogullari (ESEM, 2014)

Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. - Andriy V. Miranskyy; Bora Caglayan; Ayse Bener; Enzo Cialini (ESEM, 2014)

Factors affecting team evolution during software projects. - Bora Çaglayan; Ayse Basar Bener; Andriy V. Miranskyy (CHASE, 2014)

Değişiklik Bağlaşımı ve Yazılım Hataları İlişkisinin İncelenmesi. - Serkan Kirbas; Alper Sen 001; Bora Çaglayan; Ayse Bener (UYMS, 2014)

An issue recommender model using the developer collaboration network (Yazılım geliştirici ortak çalışma ağı kullanan hata raporu öneri modeli) - Bora Çaglayan (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)

Merits of Organizational Metrics in Defect Prediction: An Industrial Replication. - Bora Caglayan; Burak Turhan; Ayse Basar Bener; Mayy Habayeb; Andriy V. Miranskyy; Enzo Cialini (ICSE (2), 2015)

Collaborations and Code Reviews. - Jeffrey C. Carver; Bora Çaglayan; Mayy Habayeb; Birgit Penzenstadler; Aiko Yamashita (IEEE Softw., 2015)

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

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 Novel Point of Interest (POI) Location Based Recommender System Utilizing User Location and Web Interactions. - Mayy Habayeb; Behjat Soltanifar; Bora Caglayan; Ayse Basar Bener (BigDataService, 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)

Software Analytics in Practice: A Defect Prediction Model Using Code Smells. - Behjat Soltanifar; Shirin Akbarinasaji; Bora Caglayan; Ayse Basar Bener; Asli Filiz; Bryan M. Kramer (IDEAS, 2016)

Effect of developer collaboration activity on software quality in two large scale projects. - Bora Çaglayan; Ayse Basar Bener (J. Syst. Softw., 2016)

The relationship between evolutionary coupling and defects in large industrial software. - Serkan Kirbas; Bora Caglayan; Tracy Hall; Steve Counsell; David Bowes; Alper Sen 001; Ayse Bener (J. Softw. Evol. Process., 2017)

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. - Teodora Sandra Buda; Bora Caglayan; Haytham Assem (PAKDD (1), 2018)

ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. - Haytham Assem; Bora Caglayan; Teodora Sandra Buda; Declan O'Sullivan (ECML/PKDD (3), 2018)

The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). - Serkan Kirbas; Bora Caglayan; Tracy Hall; Steve Counsell; David Bowes; Alper Sen 001; Ayse Bener (SANER, 2018)

Predicting bug-fixing time: A replication study using an open source software project. - Shirin Akbarinasaji; Bora Caglayan; Ayse Bener (J. Syst. Softw., 2018)

Cognition Enabled IoT Platform for Industrial IoT Safety, Security and Privacy - The CHARIOT Project. - Konstantinos Loupos; Bora Caglayan; Alexandros Papageorgiou; Basile Starynkevitch; Franck Védrine; Christos Skoufis; Stelios Christofi; Bill Karakostas; Antonis Mygiakis; George Theofilis; Andrea Chiappetta; Harris Avgoustidis; et al. (CAMAD, 2019)

Value of Big Data Analytics for Customs Supervision in e-Commerce. - Boriana Rukanova; Yao-Hua Tan; Micha Slegt; Marcel Molenhuis; Ben van Rijnsoever; Krunoslav Plecko; Bora Caglayan; Gavin Shorten (EGOV, 2019)

Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective. - Klaas-Jan Stol; Bora Caglayan; Brian Fitzgerald 001 (IEEE Trans. Software Eng., 2019)

Identifying the value of data analytics in the context of government supervision: Insights from the customs domain. - Boriana Rukanova; Yao-Hua Tan; Micha Slegt; Marcel Molenhuis; Ben van Rijnsoever; Jonathan Migeotte; Mathieu L. M. Labare; Krunoslav Plecko; Bora Caglayan; Gavin Shorten; Otis van der Meij; Suzanne Post (Gov. Inf. Q., 2021)

BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios. - Bora Caglayan; Mingxue Wang; John D. Kelleher; Shen Fei; Gui Tong; Jiandong Ding; Puchao Zhang (ICSOC (2), 2024)

Shrec: a Sre Behaviour Knowledge Graph Model for Shell Command Recommendations. - Andrea Tonon; Bora Caglayan; MingXue Wang; Peng Hu; Fei Shen; Puchao Zhang (SANER, 2024)

RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic. - Andrea Tonon; Meng Zhang; Bora Caglayan; Fei Shen; Tong Gui; MingXue Wang; Rong Zhou (SANER, 2025)

Temporal Causal-based Simulation for Realistic Time-series Generation. - Nikolaos Gkorgkolis; Nikolaos Kougioulis; MingXue Wang; Bora Caglayan; Andrea Tonon; Dario Simionato; Ioannis Tsamardinos (CoRR, 2025)