EAST-ADL: An Architecture Description Language for Automotive Software-intensive Systems in the Light of Recent use and Research
Hans Blom,
Chen De-Jiu,
Henrik Kaijser,
Henrik Lönn,
Yiannis Papadopoulos,
Mark-Oliver Reiser,
Ramin Tavakoli Kolagari and
Sara Tucci
Additional contact information
Hans Blom: Volvo Group, Gothenburg, Sweden
Chen De-Jiu: School of Industrial Engineering and Management, Department of Machine Design, KTH Royal Institute of Technology, Stockholm, Sweden
Henrik Kaijser: Volvo Group, Gothenburg, Sweden
Henrik Lönn: Volvo Group, Gothenburg, Sweden
Yiannis Papadopoulos: Department of Computer Science, University of Hull, Hull, UK
Mark-Oliver Reiser: NumberFour AG, Berlin, Germany
Ramin Tavakoli Kolagari: Faculty of Computer Science, Nuremberg Institute of Technology, Nuremberg, Germany
Sara Tucci: LIST, CEA, Gif sur Yvette, France
International Journal of System Dynamics Applications (IJSDA), 2016, vol. 5, issue 3, 1-20
Abstract:
EAST-ADL is an Architecture Description Language (ADL) initially defined in several European-funded research projects and aligned with AUTOSAR and ISO26262. It provides a comprehensive approach for defining automotive electronic systems through an information model that captures engineering information in a standardized form. Aspects covered include vehicle features, requirements, analysis functions, software and hardware components and communication. The representation of the system's implementation is not defined in EAST-ADL itself but by AUTOSAR. However, traceability is supported from EAST-ADL's lower abstraction levels to the implementation level elements in AUTOSAR. In this article the authors describe EAST-ADL in detail, show how it relates to AUTOSAR as well as other significant automotive standards and present recent research work on using and advancing EAST-ADL, the functional safety standard ISO 26262, heterogeneous multi / many core architectures, security and for multi-objective optimization.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsda00:v:5:y:2016:i:3:p:1-20
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