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dc.contributor.authorHENNESSY, MATTHEWen
dc.date.accessioned2011-03-07T14:16:51Z
dc.date.available2011-03-07T14:16:51Z
dc.date.createdSeptemberen
dc.date.issued2009en
dc.date.submitted2009en
dc.identifier.citationYuxin Deng and Rob van Glabbeek and Matthew Hennessy and Carroll Morgan., Testing Finitary Probabilistic Processes, 20th International Conference on Concurrency Theory (CONCUR'09), Bologna, Italy, September, 2009en
dc.identifier.otherYen
dc.descriptionPRESENTEDen
dc.descriptionBologna, Italyen
dc.description.abstractThis paper provides modal- and relational characterisations of may- and must-testing preorders for recursive CSP processes with divergence, featuring probabilistic as well as nondeterministic choice. May testing is characterised in terms of simulation, and must testing in terms of failure simulation. To this end we develop weak transitions between probabilistic processes, elaborate their topological properties, and capture divergence in terms of partial distributions.en
dc.description.sponsorshipDeng was supported by the National Natural Science Foundation of China (60703033). Hennessy gratefully acknowledges the financial support of Science Foundation Ireland. Morgan acknowledges the support of ARC Discovery Grant DP0879529.en
dc.language.isoenen
dc.rightsYen
dc.subjectComputer sciencesen
dc.subjectmodal and relational characterisationsen
dc.titleTesting Finitary Probabilistic Processesen
dc.title.alternative20th International Conference on Concurrency Theory (CONCUR'09)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/mcbhenneen
dc.identifier.rssinternalid71578en
dc.identifier.rssurihttp://www.scss.tcd.ie/Matthew.Hennessy/pubs/finitary110110.pdfen
dc.contributor.sponsorAustralian Research Council (ARC)en
dc.contributor.sponsorGrantNumberDP0879529en
dc.contributor.sponsorNational Natural Science Foundation of China (60703033).en
dc.contributor.sponsorGrantNumber60703033en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.identifier.urihttp://hdl.handle.net/2262/53124


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