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A Statistical Approach to Test Stochastic and Probabilistic Systems

dc.contributor.authorGarcía Merayo, María De Las Mercedes
dc.contributor.authorHwang, Iksoon
dc.contributor.authorNúñez García, Manuel
dc.contributor.authorCavalli, Ana
dc.date.accessioned2023-06-20T09:35:40Z
dc.date.available2023-06-20T09:35:40Z
dc.date.issued2009
dc.description11th International Conference on Formal Engineering Methods. Rio de Janeiro, BRAZIL. DEC 09-12, 2009.
dc.description.abstractIn this paper we introduce a formal framework to test systems where non-deterministic decisions are probabilistically quantified and temporal information is defined by using random variables. We define an appropriate extension of the classical finite state machines formalism, widely used in formal testing approaches, to define the systems that we are interested in. First, we define a conformance relation to establish with respect to a given specification, what a good implementation is. In order to decide whether a system is conforming, we apply different statistic techniques to determine whether the (unknown) probabilities and random variables governing the behaviour of the implementation match the (known) ones of the specification. Next, we introduce a notion of test case. Finally, we give an alternative characterization of the previous conformance relation based on how a set of test is passed by the implementation.
dc.description.departmentSección Deptal. de Sistemas Informáticos y Computación
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipMEC
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/15545
dc.identifier.doi10.1007/978-3-642-10373-5_10
dc.identifier.issn0302-9743
dc.identifier.officialurlhttp://www.springerlink.com/content/411604n13xh4q457/fulltext.pdf?MUD=MP
dc.identifier.relatedurlhttp://www.springerlink.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/49989
dc.journal.titleFormal methods and software engineering proceedings
dc.language.isoeng
dc.page.final205
dc.page.initial186
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.projectIDTIN2006-15578-C02-01
dc.relation.projectIDCCG08-UCM/TIC-4124
dc.relation.projectIDGR58/08 - group number 910606
dc.rights.accessRightsrestricted access
dc.subject.cdu519.8
dc.subject.keywordFinite-state machines
dc.subject.keywordInterval estimation
dc.subject.keywordAlgebraic-theory
dc.subject.keywordTest selection
dc.subject.keywordModel
dc.subject.keywordTime
dc.subject.keywordComputer Science
dc.subject.keywordTheory & Methods
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1207 Investigación Operativa
dc.titleA Statistical Approach to Test Stochastic and Probabilistic Systems
dc.typejournal article
dc.volume.number5885
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relation.isAuthorOfPublication.latestForDiscovery28ca46b8-d1eb-42e6-a6e2-f31b193b055b

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