Symbolic Causality Checking Using SAT-Solving


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BEER, Adrian, Uwe KÜHNE, Florian LEITNER-FISCHER, Stefan LEUE, Rüdiger PREM, 2014. Symbolic Causality Checking Using SAT-Solving

@techreport{Beer2014Symbo-30241, series={Technical Report, Chair for Software Engineering, University of Konstanz}, title={Symbolic Causality Checking Using SAT-Solving}, year={2014}, number={soft-14-02}, author={Beer, Adrian and Kühne, Uwe and Leitner-Fischer, Florian and Leue, Stefan and Prem, Rüdiger} }

<rdf:RDF xmlns:rdf="" xmlns:bibo="" xmlns:dc="" xmlns:dcterms="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:available rdf:datatype="">2015-03-12T13:00:18Z</dcterms:available> <dc:contributor>Beer, Adrian</dc:contributor> <dc:contributor>Leitner-Fischer, Florian</dc:contributor> <dc:creator>Leitner-Fischer, Florian</dc:creator> <dc:date rdf:datatype="">2015-03-12T13:00:18Z</dc:date> <dcterms:abstract xml:lang="eng">Causality Checking is an automated technique supporting a formal causality analysis of system models. In this paper we present a symbolic variant of causality checking. The proposed approach is based on bounded model checking and SAT solving. We show that this symbolic approach leads to a causality checking method which is efficient for large and complex systems. The technique is evaluated on industrial sized system models and compared to an existing explicit state causality checking approach.</dcterms:abstract> <dc:creator>Prem, Rüdiger</dc:creator> <dc:creator>Beer, Adrian</dc:creator> <dc:contributor>Prem, Rüdiger</dc:contributor> <dcterms:rights rdf:resource=""/> <dc:language>eng</dc:language> <dc:contributor>Kühne, Uwe</dc:contributor> <bibo:uri rdf:resource=""/> <dc:contributor>Leue, Stefan</dc:contributor> <dc:creator>Kühne, Uwe</dc:creator> <dc:creator>Leue, Stefan</dc:creator> <dcterms:title>Symbolic Causality Checking Using SAT-Solving</dcterms:title> <dcterms:issued>2014</dcterms:issued> </rdf:Description> </rdf:RDF>

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