2021

International Journal Papers x 3

  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, pp. To appear, 2021
    Preprint - PDF
    Related Tags - TSE 2021 software quality defect prediction
  2. 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, pp. To appear, 2021
    Preprint - PDF
    Related Tags - TSE 2021 software quality anti-patterns
  3. Lags in the Release, Adoption, and Propagation of npm Vulnerability Fixes
    Authors - Bodin Chinthanet, Raula Gaikovina Kula, Shane McIntosh, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto
    Venue - Empirical Software Engineering, pp. To appear, 2021
    Related Tags - EMSE 2021 software ecosystems software quality

Full-Length International Conference Papers x 2

  1. Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? A Case Study of the Gerrit Community
    Authors - Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, Shane McIntosh
    Venue - International Conference on Automated Software Engineering, pp. To appear, 2021
    Acceptance rate - 120/440 (27%)
    Preprint - PDF
    Related Tags - ASE 2021 code review
  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. To appear, 2021
    Acceptance rate - 42/165 (25%)
    Related Tags - SANER 2021 software quality defect prediction

Short International Conference Papers x 1

  1. Assessing the Exposure of Software Changes: The DiPiDi Approach
    Authors - Mehran Meidani, Maxime Lamothe, Shane McIntosh
    Venue - International Conference on Mining Software Repositories, Registered Reports, pp. To appear, 2021
    Acceptance rate - 6/10 (60%)
    Preprint - PDF
    Related Tags - MSR 2021 build systems anti-patterns

Theses x 1