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N. Mathews

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Aug 2026

SNIPTEST: Fuzzing Multi-Level Code Slices for Validating Vulnerabilities

SNIPTEST is an execution-based warning triage framework that generates and fuzzes compiled code slices centered around static-analysis warnings that employs a layer-by-layer slicing strategy, incrementally expanding context around the target location to validate potential vulnerabilities with increasing precision.

Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel et al. · 0 citations
Review Aug 2026

COMMITGUARD: Differential Slice Fuzzing for Commit-Induced Bug Detection

The key insight behind COMMITGUARD is that the pre-commit version of a modified function can serve as a behavioral baseline for interpreting bugs found after the commit, and a commit-aware differential slice-based fuzzing approach for verifying code changes is introduced.

Aniruddhan Murali, N. Mathews, Mahmoud Alfadel et al. · 0 citations
Jul 2026

What Makes a Good Bug Report for an AI Agent?

It is found that a good bug report for an agent overlaps with, but is not identical to, a good report for a human: agents benefit most from concrete, executable, and well-localized information, whereas some qualities long emphasized for human readers, such as natural language steps to reproduce and readable descriptions, contribute little or even correlate with lower success.

Lara Khatib, N. Mathews, M. Nagappan et al. · 2 citations · ⚡1

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