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  Symbolic Shape Analysis

Wies, T. (2004). Symbolic Shape Analysis. Diploma Thesis, Universität des Saarlandes, Saarbrücken.

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 Creators:
Wies, Thomas1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: Shape analysis deals with the synthesis of invariants for programs manipulating heap-allocated data structures. Explicit shape analysis algorithms do not scale very well. This work proposes a framework for symbolic shape analysis that addresses this problem. Our contribution is a framework that allows to abstract programs with heap-allocated data symbolically by Boolean programs. For this purpose, we combine abstraction techniques from shape analysis with ideas from predicate abstraction. Our framework is parameterized by a set of abstraction predicates. We propose a class of predicates that can be used to analyze reachability properties for linked data structures. This class may potentially be used for automated abstraction refinement.

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Language(s): eng - English
 Dates: 20042004
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231273
BibTex Citekey: Wies2004
Other: Local-ID: C1256104005ECAFC-952441E206ED7310C1256F870035AF04-Wies2004
 Degree: Diploma

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