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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geprüft am 21.05.2024