Farshad Kazemi

PhD Student

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International Journal Papers x 1

  1. Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations
    Authors - Farshad Kazemi, Maxime Lamothe, Shane McIntosh
    Venue - IEEE Transactions on Software Engineering, pp. To appear, 2024
    Preprint - PDF
    Related Tags - TSE 2024 code review knowledge loss

Full-Length International Conference Papers x 2

  1. Reevaluating the Defect Proneness of Atoms of Confusion in Java Systems
    Authors - Guoshuai Shi, Farshad Kazemi, Michael W. Godfrey, Shane McIntosh
    Venue - International Symposium on Empirical Software Engineering and Measurement, pp. To appear, 2024
    Acceptance rate - 34/139 (24%)
    Preprint - PDF
    Related Tags - ESEM 2024 software quality
  2. Exploring the Notion of Risk in Code Reviewer Recommendation
    Authors - Farshad Kazemi, Maxime Lamothe, Shane McIntosh
    Venue - International Conference on Software Maintenance and Evolution, pp. 139–150, 2022
    Acceptance rate - 32/136 (23%)
    Preprint - PDF
    Related Tags - ICSME 2022 code review software quality

Theses x 1

  1. Studying Practical Challenges of Automated Code Review Suggestions
    Authors - Farshad Kazemi
    Venue - University of Waterloo, pp. 1-155, 2024
    Preprint - PDF
    Related Tags - Theses 2024 code review software quality