Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-10373-5_30
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dc.titleVerifying stateful timed CSP using implicit clocks and zone abstraction
dc.contributor.authorSun, J.
dc.contributor.authorLiu, Y.
dc.contributor.authorDong, J.S.
dc.contributor.authorZhang, X.
dc.date.accessioned2013-07-04T07:54:49Z
dc.date.available2013-07-04T07:54:49Z
dc.date.issued2009
dc.identifier.citationSun, J.,Liu, Y.,Dong, J.S.,Zhang, X. (2009). Verifying stateful timed CSP using implicit clocks and zone abstraction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5885 LNCS : 581-600. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-10373-5_30" target="_blank">https://doi.org/10.1007/978-3-642-10373-5_30</a>
dc.identifier.isbn3642103723
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40018
dc.description.abstractIn this work, we study model checking of compositional real-time systems. A system is modeled using mutable data variables as well as a compositional timed process. Instead of explicitly manipulating clock variables, a number of compositional timed behavioral patterns are used to capture quantitative timing requirements, e.g. delay, timeout, deadline, timed interrupt, etc. A fully automated abstraction technique is developed to build an abstract finite state machine from the model. The idea is to dynamically create/delete clocks, and maintain/ solve a constraint on the clocks. The abstract machine weakly bi-simulates the model and, therefore, LTL model checking or trace-refinement checking are sound and complete. We enhance our home-grown PAT model checker with the technique and show its usability via the verification of benchmark systems. © Springer-Verlag Berlin Heidelberg 2009.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-10373-5_30
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-10373-5_30
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5885 LNCS
dc.description.page581-600
dc.identifier.isiutNOT_IN_WOS
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