Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-31424-7_43
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dc.titleA complete method for symmetry reduction in safety verification
dc.contributor.authorChu, D.-H.
dc.contributor.authorJaffar, J.
dc.date.accessioned2013-07-04T07:54:35Z
dc.date.available2013-07-04T07:54:35Z
dc.date.issued2012
dc.identifier.citationChu, D.-H.,Jaffar, J. (2012). A complete method for symmetry reduction in safety verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7358 LNCS : 616-633. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-31424-7_43" target="_blank">https://doi.org/10.1007/978-3-642-31424-7_43</a>
dc.identifier.isbn9783642314230
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40008
dc.description.abstractSymmetry reduction is a well-investigated technique to counter the state space explosion problem for reasoning about a concurrent system of similar processes. Here we present a general method for its application, restricted to verification of safety properties, but without any prior knowledge about global symmetry. We start by using a notion of weak symmetry which allows for more reduction than in previous notions of symmetry. This notion is relative to the target safety property. The key idea is to perform symmetric transformations on state interpolation, a concept which has been used widely for pruning in SMTand CEGAR. Our method naturally favors "quite symmetric" systems: more similarity among the processes leads to greater pruning of the tree. The main result is that the method is complete wrt. weak symmetry: it only considers states which are not weakly symmetric to an already encountered state. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-31424-7_43
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-31424-7_43
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7358 LNCS
dc.description.page616-633
dc.identifier.isiutNOT_IN_WOS
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