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Provisioning of Predictable Embedded Software in the Vehicle Industry: The Rubus Approach
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Lawson Konsult AB, Lidingö, Sweden.
Arcticus Systems AB, Järfälla, Sweden.
Arcticus Systems AB, Järfälla, Sweden.
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2017 (English)In: Proceedings - 2017 IEEE/ACM 4th International Workshop on Software Engineering Research and Industrial Practice, SER and IP 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, 3-9 p.Conference paper, Published paper (Refereed)
Abstract [en]

Providing computer-based services for vehicular systems has evolved to the point where majority of functions are realised by software. However, the need to provide safety in critical functions such as braking and engine control requires an approach that can guarantee reliable operation of the functions. At the same time, there are a variety of vehicle functions that are less critical. The main challenge for the vehicle manufacturers is to provide both types of functions in an economic and reliable manner. To meet this challenge, this paper considers the Rubus tool chain for model-and component-based development of vehicle software and a well-proven (in the industrial use for over twenty years) and certified (according to ISO 26262) real-time operating system for its execution. The paper provides an overview of the Rubus approach and driving concepts as well as the research results that are used in providing its tool chain. Moreover, the paper presents a success story of a unique academic-industrial collaboration in the vehicle domain that has resulted in sustained development of the tool chain. The collaborators form a clear value chain from academia, through tool developer, to the end users of the technology. The paper also highlights the perspectives of the collaborators and discusses the challenges faced, experiences gained and lessons learned from several technology transfer projects. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. 3-9 p.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-36245DOI: 10.1109/SER-IP.2017.1Scopus ID: 2-s2.0-85026729584ISBN: 9781538627976 OAI: oai:DiVA.org:mdh-36245DiVA: diva2:1133941
Conference
4th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, SER and IP 2017, 21 May 2017
Available from: 2017-08-17 Created: 2017-08-17 Last updated: 2017-08-17Bibliographically approved

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Mubeen, Saad

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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