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A Framework for Multi-level Modeling of Analog/Mixed Signal Embedded Systems

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Model-Driven Engineering and Software Development (MODELSWARD 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1161))

Abstract

Embedded systems are commonly built upon heterogeneous digital and analog integrated circuits, including sensors and actuators. Model-driven approaches for designing software and hardware are generally limited to the digital parts of systems. In the present paper, we adopt a global view on the extensions made to an integrated modeling and simulation tool, TTool. In this tool, the verification and virtual prototyping of embedded systems is described at different abstraction levels and extended in order to handle analog/mixed-signal systems. An extensive case study spans these levels and illustrates the usefulness of our approach.

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Author information

Authors and Affiliations

  1. Sorbonne Université, LIP6, CNRS UMR 7606, Paris, France

    Daniela Genius, Rodrigo Cortés Porto & François Pêcheux

  2. LTCI, Télécom Paris, Institut Polytechnique de Paris, Sophia Antipolis, France

    Ludovic Apvrille

  3. Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Rodrigo Cortés Porto

Authors
  1. Daniela Genius
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  2. Rodrigo Cortés Porto
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  3. Ludovic Apvrille
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  4. François Pêcheux
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Corresponding author

Correspondence to Daniela Genius .

Editor information

Editors and Affiliations

  1. Siège du Groupe ESEO, Angers, France

    Slimane Hammoudi

  2. University of Twente, Enschede, The Netherlands

    Luís Ferreira Pires

  3. Malina Software Corporation, Nepean, ON, Canada

    Bran Selić

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Genius, D., Cortés Porto, R., Apvrille, L., Pêcheux, F. (2020). A Framework for Multi-level Modeling of Analog/Mixed Signal Embedded Systems. In: Hammoudi, S., Pires, L., Selić, B. (eds) Model-Driven Engineering and Software Development. MODELSWARD 2019. Communications in Computer and Information Science, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-37873-8_9

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  • DOI: https://doi.org/10.1007/978-3-030-37873-8_9

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