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 Sep 2021
Event14th International Modelica Conference - Virtuell, Sweden
Duration: 20 Sep 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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