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Constructing Quantified Invariants via Predicate Abstraction

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Verification, Model Checking, and Abstract Interpretation (VMCAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2937))

Abstract

Predicate abstraction provides a powerful tool for verifying properties of infinite-state systems using a combination of a decision procedure for a subset of first-order logic and symbolic methods originally developed for finite-state model checking. We consider models where the system state contains mutable function and predicate state variables. Such a model can describe systems containing arbitrarily large memories, buffers, and arrays of identical processes. We describe a form of predicate abstraction that constructs a formula over a set of universally quantified variables to describe invariant properties of the function state variables. We provide a formal justification of the soundness of our approach and describe how it has been used to verify several hardware and software designs, including a directory-based cache coherence protocol with unbounded FIFO channels.

This research was supported in part by the Semiconductor Research Corporation, Contract RID 1029.

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Lahiri, S.K., Bryant, R.E. (2004). Constructing Quantified Invariants via Predicate Abstraction. In: Steffen, B., Levi, G. (eds) Verification, Model Checking, and Abstract Interpretation. VMCAI 2004. Lecture Notes in Computer Science, vol 2937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24622-0_22

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  • DOI: https://doi.org/10.1007/978-3-540-24622-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20803-7

  • Online ISBN: 978-3-540-24622-0

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