A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Gregor Höpfner*, Julia Kowalski, Clemens Faustmann, Thilo Zerwas, Philipp Kranabitl, Seyedmohammad Vafaei, Georg Jacobs, Hannes Hick

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.
Original languageEnglish
Title of host publicationDS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)
EditorsDieter Krause, Kristin Paetzold, Sandro Wartzack
Number of pages10
DOIs
Publication statusPublished - Oct 2022
Event33rd Symposium Design for X: DFX 2022 - Hamburg, Germany
Duration: 22 Sep 202223 Sep 2022

Conference

Conference33rd Symposium Design for X
Abbreviated titleDFX 2022
Country/TerritoryGermany
CityHamburg
Period22/09/2223/09/22

Keywords

  • MBSE
  • Model Libraries
  • Model Classification
  • Workflows

Fields of Expertise

  • Sonstiges

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