A Graph-Based Meta-Data Model for DevOps in Simulation-Driven Development and Generation of DCP Configurations

Stefan Reiterer, Clemens Schiffer

    Research output: Chapter in Book/Report/Conference proceedingConference paper

    Abstract

    In order to improve the quality of model based development and to reduce testing effort DevOps practices gain more and more importance. However, most system engineers are not DevOps specialists and there are a lot of manual steps involved when writing build pipelines and configurations of simulations. For this purpose an abstract graph-based metadata model is proposed which allows to auto generate scenario descriptions for the DCP standard and code for the build server where the simulation is set up and executed. A simple use case is described as an example of how this could be applied in practice. Furthermore, a Python implementation of a DCP master and a simple FMI to DCP wrapper are presented in this as well.
    Original languageEnglish
    Title of host publicationProceedings of 14th Modelica Conference 2021
    Pages411-417
    DOIs
    Publication statusPublished - 27 Sept 2021
    Event14th International Modelica Conference - Virtuell, Sweden
    Duration: 20 Sept 202124 Dec 2021
    https://2021.international.conference.modelica.org/

    Publication series

    NameLinköping Electronic Conference Proceedings
    Volume181

    Conference

    Conference14th International Modelica Conference
    Country/TerritorySweden
    CityVirtuell
    Period20/09/2124/12/21
    Internet address

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