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dc.contributor.authorFoss, Kyle
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorBaruta, Adrian
dc.contributor.authorMossoux, Corentin
dc.date.accessioned2022-08-30T10:25:57Z
dc.date.available2021-12-29T02:06:41Z
dc.date.available2022-08-30T10:25:57Z
dc.date.issued2022
dc.identifier.issn1524-9050
dc.identifier.otherWOS:000732388700001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38681.3
dc.sourceWOS
dc.titleAutomated Software Defect Detection and Identification in Vehicular Embedded Systems
dc.typeJournal article
dc.contributor.imecauthorFoss, Kyle
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.date.embargo2022-07-31
dc.identifier.doi10.1109/TITS.2021.3065940
dc.source.numberofpages11
dc.source.peerreviewyes
dc.source.beginpage6963
dc.source.endpage6973
dc.source.journalIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
dc.source.issue7
dc.source.volume23
imec.availabilityPublished - open access
dc.description.wosFundingTextThis work was supported in part by the Electronic Components and Systems for European Leadership (ECSEL) Joint Undertaking through ENABLE-S3 Project under Agreement 692455 and in part by the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" Program. This joint undertaking receives support from the European Union's Horizon 2020 Research and Innovation Program and Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, The Netherlands, U.K., Slovakia, Norway.


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