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AUTOSAR vs. MARTE for Enabling Timing Analysis of Automotive Applications

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SDL 2011: Integrating System and Software Modeling (SDL 2011)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7083))

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Abstract

Automotive software systems are characterized by increasing complexity and tight requirements on safety and timing. Recent industrial experience has indicated that model-based and component-based approaches can help improve the overall system quality, foster reuse and evolution, and increase the potential for automatic validation and verification. In this paper, we discuss some crucial specification capabilities that need to be satisfied by modeling languages to enable scheduling analysis aware modeling for automotive applications. We evaluate the extent to which two major industry-based languages, MARTE and AUTOSAR, satisfy those needs.

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Author information

Authors and Affiliations

  1. Continental Automotive France SAS, PowerTrain E IPP, 1 Avenue Paul Ourliac, BP 83649, 31036, France

    Saoussen Anssi & Stefan Kuntz

  2. CEA LIST, Laboratory of model driven engineering for embedded systems, Point Courrier 94, Gif-sur-Yvette, F-91191, France

    Sébastien Gérard & François Terrier

Authors
  1. Saoussen Anssi
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  2. Sébastien Gérard
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  3. Stefan Kuntz
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  4. François Terrier
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Editor information

Editors and Affiliations

  1. Université de Toulouse, IRIT, 118 route de Narbonne, 31062, Toulouse, France

    Iulian Ober

  2. IRIT - Université de Toulouse, 118, route de Narbonne, 31062, Toulouse, France

    Ileana Ober

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© 2011 Springer-Verlag Berlin Heidelberg

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Anssi, S., Gérard, S., Kuntz, S., Terrier, F. (2011). AUTOSAR vs. MARTE for Enabling Timing Analysis of Automotive Applications. In: Ober, I., Ober, I. (eds) SDL 2011: Integrating System and Software Modeling. SDL 2011. Lecture Notes in Computer Science, vol 7083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25264-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-25264-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25263-1

  • Online ISBN: 978-3-642-25264-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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