counterexample-guided-refinement

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Implement CEGAR for synthesis and verification workflows

AI & Automation 814 stars 53 forks Updated today MIT

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# Counterexample-Guided Refinement ## Purpose Provides expert guidance on CEGAR (Counterexample-Guided Abstraction Refinement) for verification and synthesis. ## Capabilities - Counterexample analysis - Predicate abstraction refinement - Interpolation-based refinement - Abstraction refinement loop management - Convergence analysis - Spurious counterexample detection ## Usage Guidelines 1. **Initial Abstraction**: Define initial abstraction 2. **Verification**: Check abstract model 3. **Counterexample Analysis**: Analyze counterexamples 4. **Refinement**: Refine abstraction if spurious 5. **Iteration**: Repeat until verified or real counterexample ## Tools/Libraries - CPAChecker - SeaHorn - BLAST - SLAM

Details

Author: a5c-ai
Repository: a5c-ai/babysitter
Created: 4 months ago
Last Updated: today
Language: JavaScript
License: MIT

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