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Architecting and Analysing Connected Autonomous Vehicles
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8027-0611
Arcticus Systems AB, Järfälla, Sweden.
University of l'Aquila, L'Aquila, Italy.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
2020 (English)In: Proceedings - 2020 IEEE International Conference on Software Architecture Companion, ICSA-C 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 5-6Conference paper, Published paper (Refereed)
Abstract [en]

This tutorial focuses on the vehicular domain, which is living a very interesting moment due to the many challenges the domain is experiencing, including autonomy of vehicles, vehicles that are becoming constituent systems in the system-of-systems context and many more. The ever-increasing software complexity in vehicles requires software architecture descriptions, which enable the software developers to compare and relate different products across different vehicle programs, development units, and organisations (in the vehicular ecosystem). Many vehicular functions are constrained by stringent timing requirements. The developers of these functions are required to analyse and verify these requirements at the software architecture level and often very early during the development process [1], [2]. In this context, the tutorial focuses on the design and timing predictability verification of vehicular software architectures for different Electrical and Electronic (E/E) architectures in connected and autonomous vehicles. The key takeaways of the tutorial are: i) an overview of the software development for various vehicular E/E architectures; ii) an overview of state of the art in the area; iii) understanding rudiments and value of timing analysis for this domain; iv) experience an industrial process for architecting and analysing the vehicle software via hands-on practice and demonstration. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 5-6
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-48631DOI: 10.1109/ICSA-C50368.2020.00009ISI: 000587897600003Scopus ID: 2-s2.0-85085742305ISBN: 9781728174150 (print)OAI: oai:DiVA.org:mdh-48631DiVA, id: diva2:1438932
Conference
2020 IEEE International Conference on Software Architecture Companion, ICSA-C 2020; Salvador; Brazil; 16 March 2020 through 20 March 2020
Available from: 2020-06-11 Created: 2020-06-11 Last updated: 2020-12-03Bibliographically approved

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Bucaioni, AlessioMubeen, Saad

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