AutoACSL integrates CPG-based static analysis into LLM prompts to synthesize ACSL specs for C programs, reporting 98% generation success and 96% full proof ratio with Gemini-3 on 604 programs, with 24.7-51.7% gains over code-only baselines.
Next steps in LLM-Supported Java verification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AutoACSL: Synthesizing ACSL Specifications by Integrating LLMs with CPG-Based Static Analysis
AutoACSL integrates CPG-based static analysis into LLM prompts to synthesize ACSL specs for C programs, reporting 98% generation success and 96% full proof ratio with Gemini-3 on 604 programs, with 24.7-51.7% gains over code-only baselines.