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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
License: CC BY NC ND
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Programmed Strategies for Program Verification

Authors: Richard B. Kieburtz;

Programmed Strategies for Program Verification

Abstract

AbstractPlover is an automated property-verifier for Haskell programs that has been under development for the past three years as a component of the Programatica project. In Programatica, predicate definitions and property assertions written in P-logic, a programming logic for Haskell, can be embedded in the text of a Haskell program module. Properties refine the type system of Haskell but cannot be verified by type-checking alone; a more powerful logical verifier is needed.Plover codes the proof rules of P-logic, and additionally, embeds strategies and decision procedures for their application and discharge. It integrates a reduction system that implements a rewriting semantics for Haskell terms with a congruence-closure algorithm that supports reasoning with equality. It employs strategies such as structure splitting and case analysis to explore alternative valuations of expressions of type Bool or other finite data types, but these strategies can lead to exponential growth of terms and must be employed cautiously.Plover itself is written in Stratego, which has proven to be a powerful language tool for implementating a verifier. We discuss the design and implementation of some strategies that enable Plover to comprehend Haskell and verify many valid property assertions.

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Keywords

logic, decision procedures, Stratego, reduction, rewriting, Theoretical Computer Science, theorem proving, Haskell, strategies, normal forms, verification, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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