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2013 | OriginalPaper | Chapter

A Proof Slicing Framework for Program Verification

Authors : Ton Chanh Le, Cristian Gherghina, Razvan Voicu, Wei-Ngan Chin

Published in: Formal Methods and Software Engineering

Publisher: Springer Berlin Heidelberg

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In the context of program verification, we propose a

formal framework

for

proof slicing

that can aggressively reduce the size of proof obligations as a means of performance improvement. In particular, each large proof obligation may be broken down into smaller proofs, for which the overall processing cost can be greatly reduced, and be even more effective under

proof caching

. Our proposal is built on top of existing automatic provers, including the state-of-the-art prover Z3, and can also be viewed as a re-engineering effort in proof decomposition that attempts to avoid large-sized proofs for which these provers may be particularly inefficient. In our approach, we first develop a calculus that formalizes a

complete proof slicing

procedure, which is followed by the development of an

aggressive proof slicing

method. Retaining completeness is important, and thus in our experiments the complete method serves as a backup for the cases when the aggressive procedure fails. The foundations of the aggressive slicing procedure are based on a novel lightweight annotation scheme that captures

weak links

between sub-formulas of a proof obligation; the annotations can be inferred automatically in practice, and thus both methods are fully automated.

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Metadata
Title
A Proof Slicing Framework for Program Verification
Authors
Ton Chanh Le
Cristian Gherghina
Razvan Voicu
Wei-Ngan Chin
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-41202-8_5

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