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Consistency Is Key: Can Your Product Line Realise What It Models?

Ochs, Philip ORCID iD icon 1; Pett, Tobias ORCID iD icon 1; Schaefer, Ina ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Nowadays, automotive systems are modelled as cyber-physical product lines. However, often it is not clear whether a modelled configuration can be realised as a physical product. The combination of software- and hardware-artefacts harbours the risk of non-functioning products due to incompatible resource demands and provisionings of the components installed (realisability), thus can result in high financial loss for manufacturers. With new business models, such as over-the-air updates, they also face this risk for products already in the field, because it remains unclear whether a vehicle is still functioning after an update where resource demands have changed (update-ability). Manually analysing realisability and update-ability is infeasible in practice, as the number of product variants in a product line grows combinatorially (with respect to the number of configuration options). In this paper, we approach this challenge by proposing a novel baseline approach for the analysis of realisability and update-ability in automotive cyber-physical systems. We formally model resource demands and resource provisionings as well as the construction of a resource allocation problem per product variant based on constraint satisfaction problems. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175982
Veröffentlicht am 09.05.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 22.09.2024
Sprache Englisch
Identifikator ISBN: 979-84-00-70622-6
KITopen-ID: 1000175982
Erschienen in MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Veranstaltung 27th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS 2024), Lienz, Österreich, 22.09.2024 – 27.09.2024
Verlag Association for Computing Machinery (ACM)
Seiten 690–699
Projektinformation SofDCar (BMWE, 19S21002K)
ICM (MWK, 32-7533-4-102/10/2)
SFB 1608/1, 501798263 (DFG, DFG KOORD, SFB 1608)
Nachgewiesen in OpenAlex
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Scopus
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