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This is a Experimental Study study.

Memory-Safety Verification of Open Programs with Angelic Assumptions

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Technique identifies memory-safety violations in open programs, highlighting reliability in verification.

The method accurately distinguishes false positives from actual bugs, improving verification efficiency.
Seeker identifies 79% of false positives with zero false negatives, ensuring robust program reliability.
The approach uses idiomatic patterns mined through a large language model for effective verification.
This system guarantees correctness only under well-defined idiomatic patterns, enhancing verification accuracy.

Takhar et al. (2025) studied this question.

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