Defect Prediction

International Journal Papers x 8

1. The Ghost Commit Problem When Identifying Fix-Inducing Changes: An Empirical Study of Apache Projects
   Authors - Christophe Rezk, Yasutaka Kamei, Shane McIntosh
   Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 9, pp. 3297–3309, 2022
   Preprint - PDF
   Related Tags - TSE 2022 software quality defect prediction
2. The Impact of Automated Parameter Optimization on Defect Prediction Models
   Authors - Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
   Venue - Transactions on Software Engineering, Vol. 45, No. 7, pp. 683–711, 2019
   Preprint - PDF
   Related Tags - TSE 2019 software quality defect prediction
3. Are Fix-Inducing Changes a Moving Target? A Longitudinal Case Study of Just-In-Time Defect Prediction
   Authors - Shane McIntosh, Yasutaka Kamei
   Venue - IEEE Transactions on Software Engineering, Vol. 44, No. 5, pp. 412–428, 2018
   Preprint - PDF
   Related Tags - TSE 2018 software quality defect prediction
4. A Framework for Evaluating the Results of the SZZ Approach for Identifying Bug-Introducing Changes
   Authors - Daniel Alencar da Costa, Shane McIntosh, Weiyi Shang, Uirá Kulesza, Roberta Coelho, Ahmed E. Hassan
   Venue - IEEE Transactions on Software Engineering, Vol. 43, No. 7, pp. 641–657, 2017
   Preprint - PDF
   Related Tags - TSE 2017 software quality defect prediction
5. The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models
   Authors - Feng Zhang, Ahmed E. Hassan, Shane McIntosh, Ying Zou
   Venue - IEEE Transactions on Software Engineering, Vol. 43, No. 5, pp. 476-491, 2017
   Preprint - PDF
   Related Tags - TSE 2017 software quality defect prediction
6. An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
   Authors - Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
   Venue - IEEE Transactions on Software Engineering, Vol. 41, No. 1, pp. 1-18, 2017
   Preprint - PDF
   Related Tags - TSE 2017 software quality defect prediction
7. Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction"
   Authors - Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
   Venue - IEEE Transactions on Software Engineering, Vol. 42, No. 11, pp. 1092-1094, 2016
   Preprint - PDF
   Related Tags - TSE 2016 software quality defect prediction
8. Studying just-in-time defect prediction using cross-project models
   Authors - Yasutaka Kamei, Takafumi Fukushima, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi, Ahmed E. Hassan
   Venue - Empirical Software Engineering, Vol. 21, No. 5, pp. 2072-2106, 2016
   Preprint - PDF
   Related Tags - EMSE 2016 software quality defect prediction

Full-Length International Conference Papers x 7

1. TraceJIT: Evaluating the Impact of Behavioral Code Change on JIT Defect Prediction
   Authors - Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi
   Venue - International Conference on Software Analysis, Evolution, and Reengineering, pp. To appear, 2024
   Acceptance rate - 62/242 (26%)
   Preprint - PDF
   Related Tags - SANER 2024 software quality defect prediction
2. Leveraging Fault Localisation to Enhance Defect Prediction
   Authors - Jeongju Sohn, Yasutaka Kamei, Shane McIntosh, Shin Yoo
   Venue - International Conference on Software Analysis, Evolution, and Reengineering, pp. 284–294, 2021
   Acceptance rate - 42/165 (25%)
   Preprint - PDF
   Related Tags - SANER 2021 software quality defect prediction
3. A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models
   Authors - Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan
   Venue - International Conference on Mining Software Repositories, pp. 146–157, 2017
   Acceptance rate - 37/121 (31%)
   Preprint - PDF
   Related Tags - MSR 2017 defect prediction
4. Automated Parameter Optimization of Classification Techniques for Defect Prediction Models
   Authors - Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto
   Venue - International Conference on Software Engineering, pp. 321-332, 2016
   Acceptance rate - 101/530 (19%)
   Preprint - PDF
   Related Tags - ICSE 2016 software quality defect prediction
5. The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models
   Authors - Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto
   Venue - International Conference on Software Engineering, pp. 812-823, 2015
   Acceptance rate - 84/452 (19%)
   Preprint - PDF
   Related Tags - ICSE 2015 software quality defect prediction
6. Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models
   Authors - Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan
   Venue - International Conference on Software Engineering, pp. 789-800, 2015
   Acceptance rate - 84/452 (19%)
   Preprint - PDF
   Related Tags - ICSE 2015 software quality defect prediction
7. An Empirical Study of Just-In-Time Defect Prediction Using Cross-Project Models
    Invited for journal extension 
   Authors - Takafumi Fukushima, Yasutaka Kamei, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi
   Venue - Working Conference on Mining Software Repositories, pp. 172-181, 2014
   Acceptance rate - 29/85 (34%)
   Preprint - PDF
   Related Tags - MSR 2014 software quality defect prediction

Short International Conference Papers x 1

1. The Relationship between Commit Message Detail and Defect Proneness in Java Projects on GitHub
    Mining challenge runner-up 
   Authors - Jacob G. Barnett, Charles K. Gathuru, Luke S. Soldano, Shane McIntosh
   Venue - International Conference on Mining Software Repositories, Mining challenge, pp. 496-499, 2016
   Acceptance rate - 10/24 (42%)
   Preprint - PDF
   Related Tags - MSR 2016 software quality defect prediction

Theses x 1

1. Quantifying, Characterizing, and Mitigating the Ghost Commit Problem When Identifying Fix-Inducing Changes
   Authors - Christophe Rezk
   Venue - McGill University, pp. 1-72, 2021
   Preprint - PDF
   Related Tags - Theses 2021 software quality defect prediction