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Extracting Timing Models from Component-Based Multi-Criticality Vehicular Embedded Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Arcticus Systems AB, Järfälla, Sweden.
Arcticus Systems AB, Järfälla, Sweden.
Arcticus Systems AB, Järfälla, Sweden.
2018 (English)In: Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365, Vol. 738, p. 709-718Article in journal (Refereed) Published
Abstract [en]

Timing models include crucial information that is required by the timing analysis engines to verify timing behavior of vehicular embedded systems. The extraction of this information from these systems is challenging due to the software complexity, distribution of functionality and multiple criticality levels. To meet this challenge, this paper presents a comprehensive end-to-end timing model for multi-criticality vehicular distributed embedded systems. The model is comprehensive, in the sense that it captures detailed timing information and supports various types of real-time network protocols used in the vehicular domain. Moreover, the paper provides a method to extract these models from the software architectures of these systems. The proposed model is aligned with the component models and standards in the vehicular domain that support the pipe-and-filter communication among their basic building elements. 

Place, publisher, year, edition, pages
Springer Verlag , 2018. Vol. 738, p. 709-718
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-39197DOI: 10.1007/978-3-319-77028-4_90Scopus ID: 2-s2.0-85045856602OAI: oai:DiVA.org:mdh-39197DiVA, id: diva2:1205170
Available from: 2018-05-11 Created: 2018-05-11 Last updated: 2018-05-11Bibliographically approved

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Mubeen, Saad

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