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Towards a System of Systems Engineering Architecture Framework
Publikationstyp
Conference Paper
Publikationsdatum
2022-06
Sprache
English
Institut
Start Page
221
End Page
226
Citation
17th Annual System of Systems Engineering Conference (SOSE 2022)
Contribution to Conference
Publisher DOI
Scopus ID
Model-based approaches such as Model-Based Systems Engineering (MBSE) are widely regarded as a necessity to enable and support the development of ever more complex Systems of Systems (SoS). A key to the application of model-based development approaches in companies is the introduction of systems engineering architecture frameworks (SEAF) to structure the models of systems to be developed. This paper displays the research to develop a SEAF for SoS. Through workshops and interviews with 18 partners from industry and research, we derived perspectives to be considered for describing and modeling SoS. By analyzing existing SEAFs from literature we concluded, that not all perspectives we identified as relevant are covered by a single framework. Based on our research, especially the explicit consideration of SoS characteristics such as autonomy and interdependence, the integrated consideration of product, production system and validation system development, as well as consideration of different product generations and (re-)use of models appears to be not profoundly addressed. Advancing the state of research, we therefore propose a six-dimensional SoS engineering architecture framework to cover all perspectives we identified as relevant. The proposed framework can further serve as a reference for developers to derive and build specific frameworks tailored to their needs while at the same time supporting consistency, reusability and compatibility of the specific frameworks. The presented framework is an initial proposition which continuously being used and evaluated by its application to structure modeling for a variety of real systems from different industries. Insights from the application are fed back for its further development.
Schlagworte
ASE
MBSE
Ontology
PGE
Viewpoints