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From FMTV to WATERS: Lessons Learned from the First Verification Challenge at ECRTS (Invited Paper)

Authors :
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
Altmeyer, Sebastian
André, Étienne
Dal Zilio, Silvano
Fejoz, Loïc
Harbour, Michael González
Graf, Susanne
Gutiérrez, J. Javier
Henia, Rafik
Le Botlan, Didier
Lipari, Giuseppe
Medina, Julio
Navet, Nicolas
Quinton, Sophie
Rivas, Juan M.
Sun, Youcheng
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
Altmeyer, Sebastian
André, Étienne
Dal Zilio, Silvano
Fejoz, Loïc
Harbour, Michael González
Graf, Susanne
Gutiérrez, J. Javier
Henia, Rafik
Le Botlan, Didier
Lipari, Giuseppe
Medina, Julio
Navet, Nicolas
Quinton, Sophie
Rivas, Juan M.
Sun, Youcheng
Publication Year :
2023

Abstract

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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1389869074
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.4230.LIPIcs.ECRTS.2023.19