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Data Abstraction: A General Framework to Handle Program Verification of Data Structures

Julien Braine 1 Laure Gonnord 1 David Monniaux 2
1 CASH - CASH - Compilation and Analysis, Software and Hardware
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Proving properties on programs accessing data structures such as arrays often requires universally quantified invariants, e.g., "all elements below index i are nonzero". In this article, we propose a general data abstraction scheme operating on Horn formulas, into which we recast previously published abstractions. We show that our instantiation scheme is relatively complete: the generated purely scalar Horn clauses have a solution (inductive invariants) if and only if the original problem has one expressible by the abstraction.
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https://hal.inria.fr/hal-03321868
Contributor : Laure Gonnord Connect in order to contact the contributor
Submitted on : Wednesday, August 18, 2021 - 1:27:50 PM
Last modification on : Tuesday, October 19, 2021 - 11:24:55 AM

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Julien Braine, Laure Gonnord, David Monniaux. Data Abstraction: A General Framework to Handle Program Verification of Data Structures. SAS 2021 - 28th Static Analysis Symposium, Oct 2021, Chicago, United States. pp.1-35. ⟨hal-03321868⟩

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