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D. Svoboda

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Review Jul 2026

Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques

This study studies how well large language models (LLMs) can adjudicate (classify as a real bug or a false alarm) static-analysis alerts and probes Juliet memorization and shows that o4-mini can often reconstruct sanitized test cases' original identities.

W. Klieber, D. Svoboda, Lori Flynn et al. · 0 citations

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