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Tailored metrics for assessing the quality of MBSE models

Published online by Cambridge University Press:  16 May 2024

Iris Graessler ,
Dominik Wiechel ,
Deniz Oezcan  and
Patrick Taplick
Iris Graessler
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
Dominik Wiechel*
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
Deniz Oezcan
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
Patrick Taplick
Affiliation:
Behr-Hella Thermocontrol GmbH, Germany
*
[email protected]

Abstract

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System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.

Keywords

model-based systems engineering (MBSE)system modelsmodel qualitydesign methods
Type
Systems Engineering and Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2545 - 2554
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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