Model-based resource analysis and synthesis of service-oriented automotive software architectures

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ISSN der Zeitschrift
Software Engineering 2022
Wissenschaftliches Hauptprogramm
Gesellschaft für Informatik e.V.
This summary refers to the paper ''Model-based resource analysis and synthesis of service-oriented automotive software architectures.'' This paper has been published in the Journal on Software and Systems Modeling (SoSyM) in September 2021. Context: One drawback of today's automotive software architectures is their strong integration into the onboard communication network based on predefined dependencies at design time. The idea is to reduce this rigid integration and technological dependencies by using a service-oriented architecture (SOA) that dynamically regulates network communication at run-time. Aim: We target to provide a methodology for analysing hardware resources and synthesising automotive service-oriented architectures based on platform-independent service models that are transformed in a subsequent step into a platform-specific architecture realisation process. Approach: For the first part, we apply design space exploration and simulation to derive analysed deployment configurations at an early development stage. We refine these configurations to AUTOSAR Adaptive software architecture models required for a subsequent implementation process for the platform-specific part. Result: We present optimal deployment configurations for our next generation of E/E architecture. We also provide simulation results that demonstrate the ability of these configurations to meet the run time requirements.
Kugele, Stefan; Obergfell, Philipp; Sax, Eric (2022): Model-based resource analysis and synthesis of service-oriented automotive software architectures. Software Engineering 2022. DOI: 10.18420/se2022-ws-017. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-714-2. pp. 55-56. Wissenschaftliches Hauptprogramm. Berlin/Virtuell. 21.-25. Feburar 2022