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dc.contributor.authorAltmeyer, Sebastian
dc.contributor.authorAndré, Étienne
dc.contributor.authorDal Zilio, Silvano
dc.contributor.authorFejoz, Loïc
dc.contributor.authorGonzález Harbour, Michael 
dc.contributor.authorGraf, Susanne
dc.contributor.authorGutiérrez García, José Javier 
dc.contributor.authorHenia, Rafik
dc.contributor.authorLe Botlan, Didier
dc.contributor.authorLipari, Giuseppe
dc.contributor.authorMedina Pasaje, Julio Luis 
dc.contributor.authorNavet, Nicolas
dc.contributor.authorQuinton, Sophie
dc.contributor.authorRivas Concepción, Juan María 
dc.contributor.authorSun, Youcheng
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-03-22T19:07:18Z
dc.date.available2024-03-22T19:07:18Z
dc.date.issued2023
dc.identifier.isbn978-3-95977-280-8
dc.identifier.otherPID2021-124502OB-C42es_ES
dc.identifier.urihttps://hdl.handle.net/10902/32436
dc.description.abstractWe present here the main features and lessons learned from the first edition of what has now become the ECRTS industrial challenge, together with the final description of the challenge and a comparative overview of the proposed solutions. This verification challenge, proposed by Thales, was first discussed in 2014 as part of a dedicated workshop (FMTV, a satellite event of the FM 2014 conference), and solutions were discussed for the first time at the WATERS 2015 workshop. The use case for the verification challenge is an aerial video tracking system. A specificity of this system lies in the fact that periods are constant but known with a limited precision only. The first part of the challenge focuses on the video frame processing system. It consists in computing maximum values of the end-to-end latency of the frames sent by the camera to the display, for two different buffer sizes, and then the minimum duration between two consecutive frame losses. The second challenge is about computing end-to-end latencies on the tracking and camera control for two different values of jitter. Solutions based on five different tools – Fiacre/Tina, CPAL (simulation and analysis), IMITATOR, Uppaal and MAST – were submitted for discussion at WATERS 2015. While none of these solutions provided a full answer to the challenge, a combination of several of them did allow to draw some conclusions.es_ES
dc.description.sponsorshipThis work was partially supported by MCIN/ AEI /10.13039/501100011033/ FEDER "Una manera de hacer Europa" under grant PID2021-124502OB-C42 (PRESECREL) and by the AIDOaRt project, an ECSEL Joint Under-taking (JU) under grant agreement No. 101007350. Étienne André: Partially supported by the ANR-NRF French-Singaporean research program ProMiS (ANR-19-CE25-0015 / 2019 ANR NRF 0092) and ANR BisoUS (ANR-22-CE48-0012).es_ES
dc.format.extent18es_ES
dc.language.isoenges_ES
dc.publisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik GmbHes_ES
dc.rightsLicensed under Creative Commons License CC-BY 4.0es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source35th Euromicro Conference on Real-Time Systems: ECRTS 2023, July 11-14, 2023, Vienna, Austria, Wadern, Alemania, Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, 2023es_ES
dc.subject.otherVerification challengees_ES
dc.subject.otherIndustrial use casees_ES
dc.subject.otherEnd-to-end latencyes_ES
dc.titleFrom FMTV to WATERS: lessons learned from the first verification challenge at ECRTSes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.4230/LIPIcs.ECRTS.2023.19es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124502OB-C42/ES/MODELOS Y PLATAFORMAS PARA SISTEMA INFORMATICOS INDUSTRIALES PREDECIBLES, SEGUROS Y CONFIABLES/es_ES
dc.type.versionpublishedVersiones_ES


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