Abstraction-based guided search for hybrid systems

Sergiy Bogomolov, Alexandre Donzé, Goran Frehse, Radu Grosu, Taylor T. Johnson, Hamed Ladan, Andreas Podelski, Martin Wehrle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Hybrid systems represent an important and powerful formalism for modeling real-world applications such as embedded systems. A verification tool like SpaceEx is based on the exploration of a symbolic search space (the region space). As a verification tool, it is typically optimized towards proving the absence of errors. In some settings, e.g., when the verification tool is employed in a feedback-directed design cycle, one would like to have the option to call a version that is optimized towards finding an error path in the region space. A recent approach in this direction is based on guided search. Guided search relies on a cost function that indicates which states are promising to be explored, and preferably explores more promising states first. In this paper, an abstraction-based cost function based on pattern databases for guiding the reachability analysis is proposed. For this purpose, a suitable abstraction technique that exploits the flexible granularity of modern reachability analysis algorithms is introduced. The new cost function is an effective extension of pattern database approaches that have been successfully applied in other areas. The approach has been implemented in the SpaceEx model checker. The evaluation shows its practical potential.

Original languageEnglish
Title of host publicationModel Checking Software - 20th International Symposium, SPIN 2013, Proceedings
PublisherSpringer Verlag
Pages117-134
Number of pages18
ISBN (Print)9783642391750
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event20th International Symposium on Model Checking Software, SPIN 2013 - Stony Brook, NY, United States
Duration: 8 Jul 20139 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7976 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Symposium on Model Checking Software, SPIN 2013
Country/TerritoryUnited States
CityStony Brook, NY
Period8/07/139/07/13

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