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Symbolic Shape Analysis

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45743

Wies,  Thomas
Programming Logics, MPI for Informatics, Max Planck Society;

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Zitation

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


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-256D-1
Zusammenfassung
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.