3 papers
cs.SE2026
Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models
Henri Aïdasso, Francis Bordeleau, Ali Tizghadam
In principle, Continuous Integration (CI) pipeline failures provide valuable feedback to developers on code-related errors. In practice, however, pipeline jobs often fail intermitt…
cs.SE2025
RevMine: An LLM-Assisted Tool for Code Review Mining and Analysis Across Git Platforms
Samah Kansab, Francis Bordeleau, Ali Tizghadam
Empirical research on code review processes is increasingly central to understanding software quality and collaboration. However, collecting and analyzing review data remains a tim…
cs.SE2025
On the Illusion of Success: An Empirical Study of Build Reruns and Silent Failures in Industrial CI
Henri Aïdasso, Francis Bordeleau, Ali Tizghadam
Reliability of build outcomes is a cornerstone of effective Continuous Integration (CI). Yet in practice, developers often struggle with non-deterministic issues in the code or CI…