Bora Caglayan

36 papers A 5C 4Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large Causal Models for Temporal Causal Discovery.
CoRR
Nikolaos Kougioulis, Nikolaos Gkorgkolis, MingXue Wang, Bora Caglayan, Dario Simionato, Andrea Tonon, Ioannis Tsamardinos
2025 A conf
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic.
SANER
Andrea Tonon, Meng Zhang, Bora Caglayan, Fei Shen, Tong Gui, MingXue Wang, Rong Zhou
2025 J jnl
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic.
CoRR
Andrea Tonon, Meng Zhang, Bora Caglayan, Fei Shen, Tong Gui, MingXue Wang, Rong Zhou
2025 J jnl
Temporal Causal-based Simulation for Realistic Time-series Generation.
CoRR
Nikolaos Gkorgkolis, Nikolaos Kougioulis, MingXue Wang, Bora Caglayan, Andrea Tonon, Dario Simionato, Ioannis Tsamardinos
2024 — conf
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios.
ICSOC (2)
Bora Caglayan, MingXue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang
2024 J jnl
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios.
CoRR
Bora Caglayan, Ming Xue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang
2024 J jnl
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations.
CoRR
Andrea Tonon, Bora Caglayan, MingXue Wang, Peng Hu, Fei Shen, Puchao Zhang
2024 A conf
Shrec: a Sre Behaviour Knowledge Graph Model for Shell Command Recommendations.
SANER
Andrea Tonon, Bora Caglayan, MingXue Wang, Peng Hu, Fei Shen, Puchao Zhang
2021 J jnl
Identifying the value of data analytics in the context of government supervision:
Gov. Inf. Q.
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
2019 — conf
Cognition Enabled IoT Platform for Industrial IoT Safety, Security and Privacy - The CHARIOT Project.
CAMAD
Konstantinos Loupos, Bora Caglayan, Alexandros Papageorgiou, Basile Starynkevitch, Franck Védrine, Christos Skoufis, Stelios Christofi, Bill Karakostas, Antonis Mygiakis, George Theofilis, Andrea Chiappetta, Harris Avgoustidis, George Boulougouris
2019 J jnl
Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective.
IEEE Trans. Software Eng.
Klaas-Jan Stol, Bora Caglayan, Brian Fitzgerald
2019 — ed.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019 — conf
Value of Big Data Analytics for Customs Supervision in e-Commerce.
EGOV
Boriana Rukanova, Yao-Hua Tan, Micha Slegt, Marcel Molenhuis, Ben van Rijnsoever, Krunoslav Plecko, Bora Caglayan, Gavin Shorten
2018 — conf
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection.
PAKDD (1)
Teodora Sandra Buda, Bora Caglayan, Haytham Assem
2018 J jnl
Predicting bug-fixing time: A replication study using an open source software project.
J. Syst. Softw.
Shirin Akbarinasaji, Bora Caglayan, Ayse Bener
2018 — conf
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction.
ECML/PKDD (3)
Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan
2018 A conf
The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract).
SANER
Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
2017 J jnl
The relationship between evolutionary coupling and defects in large industrial software.
J. Softw. Evol. Process.
Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
2016 — conf
A Novel Point of Interest (POI) Location Based Recommender System Utilizing User Location and Web Interactions.
BigDataService
Mayy Habayeb, Behjat Soltanifar, Bora Caglayan, Ayse Basar Bener
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 C conf
Software Analytics in Practice: A Defect Prediction Model Using Code Smells.
IDEAS
Behjat Soltanifar, Shirin Akbarinasaji, Bora Caglayan, Ayse Basar Bener, Asli Filiz, Bryan M. Kramer
2015 — ch.
Lessons Learned from Software Analytics in Practice.
The Art and Science of Analyzing Software Data
Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli
2015 — conf
Merits of Organizational Metrics in Defect Prediction: An Industrial Replication.
ICSE (2)
Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini
2015 J jnl
Predicting defective modules in different test phases.
Softw. Qual. J.
Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy
2014 A conf
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure.
ESEM
Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini
2014 A conf
The effect of evolutionary coupling on software defects: an industrial case study on a legacy system.
ESEM
Serkan Kirbas, Alper Sen, Bora Caglayan, Ayse Bener, Rasim Mahmutogullari
2013 J jnl
A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners.
IEEE Softw.
Ayse Tosun Misirli, Bora Caglayan, Ayse Bener, Burak Turhan
2013 — conf
Emergence of developer teams in the collaboration network.
CHASE@ICSE
Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy
2012 — conf
Dione: an integrated measurement and defect prediction solution.
SIGSOFT FSE
Bora Caglayan, Ayse Tosun Misirli, Gul Calikli, Ayse Bener, Turgay Aytac, Burak Turhan
2012 — conf
Factors characterizing reopened issues: a case study.
PROMISE
Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener
2012 J jnl
Issue ownership activity in two large software projects.
ACM SIGSOFT Softw. Eng. Notes
Bora Caglayan, Ayse Bener
2012 C conf
Modeling Human Aspects to Enhance Software Quality Management.
ICIS
Gul Calikli, Ayse Bener, Bora Caglayan, Ayse Tosun Misirli
2011 — conf
Experiences on Developer Participation and Effort Estimation.
EUROMICRO-SEAA
Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, Ayse Basar Bener
2010 C conf
Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects.
SEKE
Salifu Alhassan, Bora Caglayan, Ayse Basar Bener
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
Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool.
SEKE
Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan