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Refining timing requirements in extended models of legacy vehicular embedded systems using early end-to-end timing analysis
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
Arcticus Systems AB, Jarfalla, Sweden.
Arcticus Systems AB, Jarfalla, Sweden.
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2016 (English)In: Advances in Intelligent Systems and Computing, Volume 448, 2016, p. 497-508Conference paper, Published paper (Refereed)
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Text
Abstract [en]

Model and component-based development approaches have emerged as an attractive option to deal with the complexity of vehicle software. Using these approaches, we provide a method to estimate and refine end-to-end timing requirements in vehicular distributed embedded systems that are developed by reusing the models of legacy systems. This method leverages on the early end-to-end timing analysis that can be performed at the highest abstraction level during the development of these systems. As a proof of concept, we conduct a vehicular-application case study to show the process of estimating and refining the timing requirements early during the development. The case study is modeled with the Rubus-ICE tool suite that is used for the software development of vehicular embedded systems by several international companies. 

Place, publisher, year, edition, pages
2016. p. 497-508
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-31479DOI: 10.1007/978-3-319-32467-8_44ISI: 000385289400044Scopus ID: 2-s2.0-84962650310ISBN: 9783319324661 (print)OAI: oai:DiVA.org:mdh-31479DiVA, id: diva2:924333
Conference
13th International Conference on Information Technology : New Generations, ITNG 2016, April 11-13, 2016, Las Vegas, Nevada, USA
Available from: 2016-04-28 Created: 2016-04-28 Last updated: 2016-12-27Bibliographically approved

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  • apa
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