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Defect Prediction
International Journal Papers
x 8
The Ghost Commit Problem When Identifying Fix-Inducing Changes: An Empirical Study of Apache Projects
Authors
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Christophe Rezk
, Yasutaka Kamei, Shane McIntosh
Venue
- IEEE Transactions on Software Engineering, Vol. 48, No. 9, pp. 3297–3309, 2022
Preprint
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TSE
2022
software quality
defect prediction
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
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TSE
2019
software quality
defect prediction
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
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TSE
2018
software quality
defect prediction
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
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TSE
2017
software quality
defect prediction
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
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PDF
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TSE
2017
software quality
defect prediction
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
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TSE
2017
software quality
defect prediction
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
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TSE
2016
software quality
defect prediction
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
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EMSE
2016
software quality
defect prediction
Full-Length International Conference Papers
x 6
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
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SANER
2021
software quality
defect prediction
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
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PDF
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MSR
2017
defect prediction
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
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PDF
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ICSE
2016
software quality
defect prediction
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
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PDF
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ICSE
2015
software quality
defect prediction
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
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PDF
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ICSE
2015
software quality
defect prediction
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
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MSR
2014
software quality
defect prediction
Short International Conference Papers
x 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
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PDF
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MSR
2016
software quality
defect prediction
Theses
x 1
Quantifying, Characterizing, and Mitigating the Ghost Commit Problem When Identifying Fix-Inducing Changes
Authors
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Christophe Rezk
Venue
- McGill University, pp. 1-72, 2021
Preprint
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Theses
2021
software quality
defect prediction