Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/15420
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dc.contributor.authorBenharrat, N-
dc.contributor.authorGaston, C-
dc.contributor.authorHierons, RM-
dc.contributor.authorLapitre, A-
dc.contributor.authorLe Gall, P-
dc.date.accessioned2017-11-10T14:02:27Z-
dc.date.available2017-01-01-
dc.date.available2017-11-10T14:02:27Z-
dc.date.issued2017-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10533 LNCS pp. 276 - 292en_US
dc.identifier.isbn9783319675480-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/15420-
dc.description.abstract© 2017, IFIP International Federation for Information Processing. This paper studies the situation in which the system under test and the system model are distributed and have the same structure; they have corresponding remote components that communicate asynchronously. In testing, a component with interface C i has its own local tester that interacts with C i and this local tester observes a local trace consisting of inputs, outputs and durations as perceived by C i . An observation made in testing is thus a multi-trace: a tuple of (timed) local traces, one for each C i . The conformance relation for such distributed systems combines a classical unitary conformance relation for localised components and the requirement that the communication policy was satisfied. By expressing the communication policy as a constraint satisfaction problem, we were able to implement the computation of test verdicts by orchestrating localised off-line testing algorithms and the verification of constraints defined by message passing between components. Lastly, we illustrate our approach on a telecommunications system.en_US
dc.format.extent276 - 292-
dc.language.isoenen_US
dc.titleConstraint-based oracles for timed distributed systemsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-67549-7_17-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
pubs.publication-statusPublished-
pubs.volume10533 LNCS-
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