Spearhead Data-Driven Model-Based Systems Engineering: Interview Study on Definition, Preconditions, Challenges, Potentials, and Use Cases
DS 130: Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024
Year: 2024
Editor: Malmqvist, J.; Candi, M.; Saemundsson, R. J.; Bystrom, F. and Isaksson, O.
Author: Tissen, Denis; Wiederkehr, Ingrid; Bernijazov, Ruslan; Koldewey, Christian; Dumitrescu, Roman
Series: NordDESIGN
Institution: University of Paderborn, Heinz Nixdorf Institute, Germany
Page(s): 539-548
DOI number: 10.35199/NORDDESIGN2024.58
ISBN: 978-1-912254-21-7
Abstract
Digital technologies change how companies develop their products and services. Data-driven model-based systems engineering (DDMBSE) addresses this by integrating data analytics (DA) into MBSE. As an underexplored area, DDMBSE needs deeper observation from practical side. We conducted an interview study with 16 experts and operators from MBSE and DA. The results of this paper are a refined definition of DDMBSE including a concept called nexus model. Additionally, preconditions, challenges, potentials and use cases in context of DDMBSE are described, open the path for further research.
Keywords: Complex Systems, Data Driven Design, Traceability, Systems Engineering (SE), Data Analytics