PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection
May 09, 2025 Β· Declared Dead Β· π 2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)
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Authors
Domenico Cotroneo, Giuseppe De Rosa, Pietro Liguori
arXiv ID
2505.05777
Category
cs.SE: Software Engineering
Cross-listed
cs.AI
Citations
0
Venue
2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)
Last Checked
5 months ago
Abstract
This paper presents PyResBugs, a curated dataset of residual bugs, i.e., defects that persist undetected during traditional testing but later surface in production, collected from major Python frameworks. Each bug in the dataset is paired with its corresponding fault-free (fixed) version and annotated with multi-level natural language (NL) descriptions. These NL descriptions enable natural language-driven fault injection, offering a novel approach to simulating real-world faults in software systems. By bridging the gap between software fault injection techniques and real-world representativeness, PyResBugs provides researchers with a high-quality resource for advancing AI-driven automated testing in Python systems.
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