Effective Fault Localization using Probabilistic and Grouping Approach

Effective Fault Localization using Probabilistic and Grouping Approach. Source: https://arxiv.org/abs/2403.05022 PDF: https://arxiv.org/pdf/2403.05022 Local PDF: library/pdfs/2024-effective-fault-localization-using-probabilistic-and-grouping-approach.pdf Full text: library/fulltexts/2024-effective-fault-localization-using-probabilistic-and-grouping-approach.txt Notes: This paper proposes CGFL, a fault-localization technique that combines conditional probability with a grouping step over statement rankings. It is relevant as background for topic 06 because it explicitly uses a grouping mechanism to refine the diagnostic space induced by passing and failing tests. For our project, it can serve as a nearby comparison point, while topic 06 remains focused on finding stable program-level fixed points or bottleneck statements that decompose the logical space.