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dc.contributor.authorShi, L
dc.contributor.authorLiu, Y
dc.contributor.authorSun, J
dc.contributor.authorDong, JS
dc.contributor.authorCarvalho, G
dc.date.accessioned2018-06-26T06:47:12Z
dc.date.available2018-06-26T06:47:12Z
dc.date.issued2012
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-642-34281-3_27
dc.identifier.urihttp://hdl.handle.net/10072/172906
dc.description.abstractCommunicating Sequential Processes (CSP) has been widely applied to modeling and analyzing concurrent systems. There have been considerable efforts on enhancing CSP by taking data and other system aspects into account. For instance, CSPM combines CSP with a functional programming language whereas CSP# integrates high-level CSP-like process operators with low-level procedure code. Little work has been done to systematically compare these CSP extensions, which may have subtle and substantial differences. In this paper, we compare CSPM and CSP# not only on their syntax, but also operational semantics as well as their supporting tools such as FDR, ProB, and PAT. We conduct extensive experiments to compare the performance of these tools in different settings. Our comparison can be used to guide users to choose the appropriate CSP extension and verification tool based on the system characteristics.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom381
dc.relation.ispartofpageto397
dc.relation.ispartofjournalLecture Notes in Computer Science
dc.relation.ispartofvolume7635
dc.subject.fieldofresearchComputer Software not elsewhere classified
dc.subject.fieldofresearchcode080399
dc.titleAn analytical and experimental comparison of CSP extensions and tools
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2012 Springer International Publishing AG. This is an electronic version of an article published in Lecture Notes In Computer Science (LNCS), volume 7635, pp 381-397, 2012. Lecture Notes In Computer Science (LNCS) is available online at: http://link.springer.com// with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorDong, Jin-Song


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