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dc.contributor.authorKrejčí L.
dc.contributor.authorSobotka J.
dc.contributor.authorNovák J.
dc.date.accessioned2021-08-12T12:31:32Z
dc.date.available2021-08-12T12:31:32Z
dc.date.issued2021
dc.identifierV3S-334887
dc.identifier.citationKREJČÍ, L., J. SOBOTKA, and J. NOVÁK. Relation between Test Coverage and Timed Automata Model Structure. In: Tools and Methods of Program Analysis. International Conference on Software Testing, Machine Learning and Complex Process Analysis (TMPA-2019), Tbilisi, 2019-11-07/2019-11-09. Cham: Springer International Publishing, 2021. p. 109-120. Communications in Computer and Information Science. ISSN 1865-0937. ISBN 9783030714710. DOI 10.1007/978-3-030-71472-7_9. Available from: https://tmpaconf.org/events/tmpa-2019/about-2019-en
dc.identifier.isbn9783030714710 (online)
dc.identifier.issn1865-0937 (online)
dc.identifier.urihttp://hdl.handle.net/10467/96623
dc.description.abstractThis paper deals with problematics of structure of Timed Automata models suitable for Model-Based Testing of automotive systems. Previous ex-periments, primarily focused on the environmental models, have shown that their structure does not significantly affect the coverage speed of testing process. How-ever, similar questions regarding the observer part of the system model remained open. This paper analyzes those remaining questions and focuses on uncovering possible relation between an observer model structure and the quality of gener-ated test sequences according to multiple criteria. Goal of presented experiments is to compare multiple modeling approaches and discover which one is most suit-able for automotive systems.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofTools and Methods of Program Analysis
dc.subjectTimed Automataeng
dc.subjectModel-Basedeng
dc.subjectTestingeng
dc.subjectStructureeng
dc.subjectCoverageeng
dc.subjectAutomotiveeng
dc.titleRelation between Test Coverage and Timed Automata Model Structureeng
dc.typestať ve sborníkucze
dc.typeconference papereng
dc.identifier.doi10.1007/978-3-030-71472-7_9
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.identifier.scopus2-s2.0-85104718063
dc.relation.conferenceInternational Conference on Software Testing, Machine Learning and Complex Process Analysis (TMPA-2019)


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