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Technical architectures for automotive systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8027-0611
University of l'Aquila, L'Aquila, Italy.
2020 (English)In: Proceedings - IEEE 17th International Conference on Software Architecture, ICSA 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 46-57Conference paper, Published paper (Refereed)
Abstract [en]

Driven by software, the automotive domain is living an unprecedented revolution with original equipment manufacturers increasingly becoming software companies. Vehicle electrical and electronic software architectures are considered means for addressing several concerns, which span from safety to security, through electrification and autonomy. Such architectures serve also as pivotal means for enabling communication between an original equipment manufacturer and suppliers (tier 1 and 2 companies) within the automotive ecosystem. In the automotive domain, software architectures include (at least) three different views of descending abstraction: functional, logical, and technical. In this work, we focus on the technical view with a two-folded contribution. On the one hand, we propose a feature model of technical architectures for automotive systems. On the other hand, starting from the elicited feature model, we present three technical reference architectures able to guide three generations of automotive systems. We evaluate the contribution of this work by means of a focus group validation session and short semi-structured interviews with automotive experts and practitioners.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 46-57
Keywords [en]
Automotive, Software architecture, Technical architecture, Automotive domains, Automotive ecosystems, Automotive Systems, Original equipment manufacturers, Reference architecture, Semi structured interviews, Three generations, Automobile manufacture
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-48937DOI: 10.1109/ICSA47634.2020.00013ISI: 000584237000005Scopus ID: 2-s2.0-85085950011ISBN: 9781728146591 (print)OAI: oai:DiVA.org:mdh-48937DiVA, id: diva2:1443751
Conference
17th IEEE International Conference on Software Architecture, ICSA 2020, 16 March 2020 through 20 March 2020
Available from: 2020-06-18 Created: 2020-06-18 Last updated: 2020-12-22Bibliographically approved

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Bucaioni, Alessio

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf