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dc.contributor.authorValle Entrena, Pablo
dc.date.accessioned2021-03-22T14:12:46Z
dc.date.available2021-03-22T14:12:46Z
dc.date.issued2021
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=163197
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5256
dc.description.abstractAutonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV should definitely be considered when testing such systems. However, as in other complex systems, determining the outcome of a test in the driving quality on an AV can be extremely complex. To solve this issue, in this paper we explore the application of Quality-of-Service (QoS) aware metamorphic testing to test AVs modeled in MATLAB/Simulink, one of the predominant modeling tools in the market. We first defined a set of QoS measures applied to AVs by considering as input a recent study. With them, we define metamorphic relations. Lastly we assess the approach in an AV modeled in Simulink by using mutation testing. The results suggests that our approach is effective at detecting faults.
dc.language.isoengen
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.titleMetamorphic Testing of Autonomous Vehicles: a Case Study on Simulinken
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
local.description.peerreviewedtrueen
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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