Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays
Makai Mann, Ahmed Irfan, Alberto Griggio, Oded Padon, Clark Barrett

TL;DR
This paper introduces a framework that enhances model checking of infinite-state systems by automatically adding auxiliary variables, enabling more efficient quantifier-free proofs for array-based systems, and demonstrates its effectiveness on benchmark problems.
Contribution
It presents a novel combination of auxiliary variable augmentation with counterexample-guided abstraction refinement for arrays, reducing complex reasoning to simpler quantifier-free logic.
Findings
Often outperforms state-of-the-art tools
Reduces reasoning complexity for array systems
Effective on diverse benchmarks
Abstract
We develop a framework for model checking infinite-state systems by automatically augmenting them with auxiliary variables, enabling quantifier-free induction proofs for systems that would otherwise require quantified invariants. We combine this mechanism with a counterexample-guided abstraction refinement scheme for the theory of arrays. Our framework can thus, in many cases, reduce inductive reasoning with quantifiers and arrays to quantifier-free and array-free reasoning. We evaluate the approach on a wide set of benchmarks from the literature. The results show that our implementation often outperforms state-of-the-art tools, demonstrating its practical potential.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFormal Methods in Verification · Model-Driven Software Engineering Techniques · Business Process Modeling and Analysis
