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An Expert Survey on the Use of Informal Models in the Automotive Industry

Fuchß, Dominik ORCID iD icon 1; Kühn, Thomas; Wortmann, Andreas; Pfeiffer, Jérôme; Koziolek, Anne ORCID iD icon 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Currently, the automotive industry shifts from classic Cyber-physical Systems~(CPSs) development to the development of CPSs with digital twins.
However, while most digital twins assume formal/formalized models, in practice many engineers stated to employ informal models or sketches during the development of CPS with digital twins.
Thus, to investigate the purpose and use of informal models in the automotive industry, we conducted an expert survey within the SofDCar project.
In detail, we set up an online questionnaire asking participants from industry and academia about the way they employ informal models in their contexts.
The survey indicates that informal models are widely used during the conception phase and for communication and documentation.
Thus, we maintain that digital twin architectures for the automotive industry must incorporate informal models, as additional artifacts documenting and communicating design decisions.


Volltext §
DOI: 10.5445/IR/1000162389
Veröffentlicht am 25.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 09.2023
Sprache Englisch
Identifikator KITopen-ID: 1000162389
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 14 S.
Projektinformation SofDCar (BMWK, 19S21002K)
Bemerkung zur Veröffentlichung This is a preprint of the paper submitted and accepted at ECSA TwinArch Workshop 2023. For this track, there will be no formal proceedings. An extended version might be published in the Postproceedings by Springer LNCS.
Schlagwörter Informal Model, Survey, Automotive, Cyber-Physical System, Digital Twin
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