IEEE Transactions on Software Engineering (TSE)

International Journal Papers x 15

  1. Characterizing Timeout Builds in Continuous Integration
    Authors - Nimmi Rashinika Weeraddana, Mahmoud Alfadel, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, pp. To appear, 2024
    Preprint - PDF
    Related Tags - TSE 2024 continuous integration
  2. Code Cloning in Smart Contracts on the Ethereum Platform: An Extended Replication Study
    Authors - Faizan Khan, Istvan David, Daniel Varro, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, Vol. 49, No. 4, pp. 2006–2019, 2023
    Preprint - PDF
    Related Tags - TSE 2023 software quality anti-patterns
  3. Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems
    Authors - Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
    Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 10, pp. 4214–4228, 2022
    Preprint - PDF
    Related Tags - TSE 2022 build systems software quality anti-patterns
  4. 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
  5. An Empirical Study of Type-Related Defects in Python Projects
    Authors - Faizan Khan, Boqi Chen, Daniel Varro, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 8, pp. 3145–3158, 2022
    Preprint - PDF
    Related Tags - TSE 2022 software quality anti-patterns
  6. Accelerating Continuous Integration by Caching Environments and Inferring Dependencies
    Authors - Keheliya Gallaba, John Ewart, Yves Junqueira, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 8, pp. 2040–2052, 2022
    Preprint - PDF
    Related Tags - TSE 2022 continuous integration build performance
  7. Quantifying, Characterizing, and Mitigating Flakily Covered Program Elements
    Authors - Shivashree Vysali, Shane McIntosh, Bram Adams
    Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 3, pp. 1018–1029, 2022
    Preprint - PDF
    Related Tags - TSE 2022 software quality flaky tests
  8. Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities
    Authors - Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto
    Venue - IEEE Transactions on Software Engineering, Vol. 48, No. 1, pp. 69–81, 2022
    Preprint - PDF
    Related Tags - TSE 2022 code review integration
  9. Use and Misuse of Continuous Integration Features: An Empirical Study of Projects that (mis)use Travis CI
    Authors - Keheliya Gallaba, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, Vol. 46, No. 1, pp. 33–50, 2020
    Preprint - PDF
    Related Tags - TSE 2020 continuous integration anti-patterns software evolution
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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