Modeling and analysis of partitions on functional architectures using EAST-ADL

  • The complexity in automotive systems engineering is increasing over the last decade. Autonomous driving and new comfort functions are some reasons for this growing complexity. With the introduction of multi-core processors in automotive system architectures, the shift from sequential to parallel thinking is more and more important in the different development phases. Based on the EAST-ADL, we present an approach to support the design process for distributed systems by using partitioning as an additional viewpoint on the architecture level. Therefore, we developed an extension to the EAST-ADL for partitioning and show automatic partitioning analysis on different architecture abstractions. These derived partitions can support system designers during the design process of functional architectures, by having a first insight how independent the functional components are structured from a data dependency viewpoint. This gives hints for the allocation of functions to hardware in later stagesThe complexity in automotive systems engineering is increasing over the last decade. Autonomous driving and new comfort functions are some reasons for this growing complexity. With the introduction of multi-core processors in automotive system architectures, the shift from sequential to parallel thinking is more and more important in the different development phases. Based on the EAST-ADL, we present an approach to support the design process for distributed systems by using partitioning as an additional viewpoint on the architecture level. Therefore, we developed an extension to the EAST-ADL for partitioning and show automatic partitioning analysis on different architecture abstractions. These derived partitions can support system designers during the design process of functional architectures, by having a first insight how independent the functional components are structured from a data dependency viewpoint. This gives hints for the allocation of functions to hardware in later stages of the development process.show moreshow less

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2022/01/03

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Metadaten
Author:Christoph EtzelGND, Bernhard BauerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-704540
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/70454
ISBN:978-3-030-37873-8OPAC
Parent Title (English):Model-Driven Engineering and Software Development: 7th International Conference, MODELSWARD 2019, Prague, Czech Republic, February 20–22, 2019, Revised Selected Papers
Publisher:Springer International
Place of publication:Cham
Editor:Slimane Hammoudi, Luís Ferreira Pires, Bran Selić
Type:Part of a Book
Language:English
Year of first Publication:2020
Embargo Date:2022/01/03
Publishing Institution:Universität Augsburg
Release Date:2020/02/11
Tag:System architecture; Model-driven systems engineering; Automotive systems engineering
First Page:298
Last Page:319
Series:Communications in Computer and Information Science ; 1161
DOI:https://doi.org/10.1007/978-3-030-37873-8_13
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Professur Softwaremethodik für verteilte Systeme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht