AssertLLM2 introduces a benchmark of 83 designs supporting bug-prevention and bug-hunting assertion generation tasks with evaluation across syntactic, formal, coverage, and mutation-based metrics.
Assertgen: Enhancement of llm-aided assertion generation through cross-layer signal bridging
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.AR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CoverAssert iteratively improves LLM-generated assertions via syntax-semantic clustering and coverage feedback, yielding 9.57% branch, 9.64% statement, and 15.69% toggle coverage gains on four open-source designs when combined with prior tools.
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AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications
AssertLLM2 introduces a benchmark of 83 designs supporting bug-prevention and bug-hunting assertion generation tasks with evaluation across syntactic, formal, coverage, and mutation-based metrics.
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CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations
CoverAssert iteratively improves LLM-generated assertions via syntax-semantic clustering and coverage feedback, yielding 9.57% branch, 9.64% statement, and 15.69% toggle coverage gains on four open-source designs when combined with prior tools.