Automated end-to-end timing analysis of AUTOSAR-based causal event chains

Autor(en): Iyenghar, P.
Huning, L.
Pulvermueller, E. 
Herausgeber: Ali, R.
Kaindl, H.
Maciaszek, L.
Stichwörter: Automation; Automotive Systems; AUTOSAR; Computer software selection and evaluation; Embedded Automation; Embedded systems; End to end delay; End-to-End Timing Analysis; Event Chains; Integrated approach; State of the practice; Systematic software engineerings; Timing circuits; Timing properties; Timing requirements, Software quality; Unified Modeling Language; Unified Modeling Language, Automotive embedded systems
Erscheinungsdatum: 2020
Herausgeber: SciTePress
Journal: ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering
Startseite: 477
Seitenende: 489
Zusammenfassung: 
Reflecting the ever-increasing complexity of automotive embedded systems and their stringent timing requirements, a significant level of automated tooling is imperative to enhance software quality. In this context, though AUTOSAR-based systems are nowadays more often developed using powerful Unified Modeling Language (UML) tools, there is a lack of an integrated approach and automated tooling for validation of timing properties. Addressing this aspect, a systematic software engineering and automation approach for timing analysis of AUTOSAR-based systems, already early in the design stages, in state-of-the-practice timing analysis tools is presented. A specific example of a widely used timing analysis measure for automotive systems namely, end-to-end delay analysis is described with the help of an AUTOSAR-based causal event chain example. The practical relevance of the approach is demonstrated by evaluating it in an elaborate automotive case study. © Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
Beschreibung: 
Conference of 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 ; Conference Date: 5 May 2020 Through 6 May 2020; Conference Code:160383
ISBN: 9789897584213
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088363087&partnerID=40&md5=2580d29f1c35b8d0626a5c2347a36a27

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