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        <datestamp>2024-03-06T11:01:19Z</datestamp>
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          <dc:title>From FMTV to WATERS: Lessons Learned from the First Verification Challenge at ECRTS (Invited Paper)</dc:title>
          <dc:creator>Altmeyer, Sebastian</dc:creator>
          <dc:creator>André, Étienne</dc:creator>
          <dc:creator>Dal Zilio, Silvano</dc:creator>
          <dc:creator>Fejoz, Loïc</dc:creator>
          <dc:creator>Harbour, Michael González</dc:creator>
          <dc:creator>Graf, Susanne</dc:creator>
          <dc:creator>Gutiérrez, J. Javier</dc:creator>
          <dc:creator>Henia, Rafik</dc:creator>
          <dc:creator>Le Botlan, Didier</dc:creator>
          <dc:creator>Lipari, Giuseppe</dc:creator>
          <dc:creator>Medina, Julio</dc:creator>
          <dc:creator>Navet, Nicolas</dc:creator>
          <dc:creator>Quinton, Sophie</dc:creator>
          <dc:creator>Rivas, Juan M.</dc:creator>
          <dc:creator>Sun, Youcheng</dc:creator>
          <dc:subject>Verification challenge</dc:subject>
          <dc:subject>industrial use case</dc:subject>
          <dc:subject>end-to-end latency</dc:subject>
          <dc:description>We 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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sebastian Altmeyer and Étienne André and Silvano Dal Zilio and Loïc Fejoz and Michael González Harbour and Susanne Graf and J. Javier Gutiérrez and Rafik Henia and Didier Le Botlan and Giuseppe Lipari and Julio Medina and Nicolas Navet and Sophie Quinton and Juan M. Rivas and Youcheng Sun</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 262, 35th Euromicro Conference on Real-Time Systems (ECRTS 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2023.19</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-180486</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2023.19</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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