Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach

Katharina Polanec; Jounes-Alexander Gross; Boris Brankovic; Christian Neureiter

doi:10.1109/ETFA52439.2022.9921592

Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach

Centre for Dependable Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Due to the rising complexity in the automotive domain a suitable modeling framework to facilitate development as well as interdisciplinary communication is needed. In the domain of smart grids, the Smart Grid Architecture Model (SGAM) framework turned out to be a suitable tool for coping with complexity whilst providing cross-disciplinary understanding. A similar approach exists for the automotive domain: the Automotive Reference Architecture Model (ARAM) framework. As opposed to other automotive frameworks, this one offers interoperability with the smart grid framework, which simplifies cross-domain collaboration. During the development of ARAM, the Software Platform Embedded Systems (SPES) methodology gained momentum. This methodology can be considered an architectural model while the automotive framework can be considered an analysis model, according to the domain-specific systems engineering approach. In order to follow this approach, a transformation between the two models must be possible. This work-in-progress paper aims at presenting first approaches of an adapted version of the ARAM framework, proposing a reworked structure that is compatible with both, SGAM and SPES.

Original language	English
Title of host publication	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Publisher	IEEE Canada
Pages	1-4
Number of pages	4
ISBN (Print)	978-1-6654-9997-2
DOIs	https://doi.org/10.1109/ETFA52439.2022.9921592
Publication status	Published - 9 Sept 2022
Event	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) - Stuttgart, Germany Duration: 6 Sept 2022 → 9 Sept 2022

Conference

Conference	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Period	6/09/22 → 9/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptation models
Analytical models
Embedded systems
Computer architecture
Software
Smart grids
Complexity theory

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

202022 Information technology

Applied Research Level (ARL)

ARL Level 2 - Description of the application of a principle

Research focus/foci

Not applicable

Access to Document

10.1109/ETFA52439.2022.9921592

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9921592

Cite this

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title = "Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach",

abstract = "Due to the rising complexity in the automotive domain a suitable modeling framework to facilitate development as well as interdisciplinary communication is needed. In the domain of smart grids, the Smart Grid Architecture Model (SGAM) framework turned out to be a suitable tool for coping with complexity whilst providing cross-disciplinary understanding. A similar approach exists for the automotive domain: the Automotive Reference Architecture Model (ARAM) framework. As opposed to other automotive frameworks, this one offers interoperability with the smart grid framework, which simplifies cross-domain collaboration. During the development of ARAM, the Software Platform Embedded Systems (SPES) methodology gained momentum. This methodology can be considered an architectural model while the automotive framework can be considered an analysis model, according to the domain-specific systems engineering approach. In order to follow this approach, a transformation between the two models must be possible. This work-in-progress paper aims at presenting first approaches of an adapted version of the ARAM framework, proposing a reworked structure that is compatible with both, SGAM and SPES.",

keywords = "Adaptation models, Analytical models, Embedded systems, Computer architecture, Software, Smart grids, Complexity theory",

author = "Katharina Polanec and Jounes-Alexander Gross and Boris Brankovic and Christian Neureiter",

year = "2022",

month = sep,

day = "9",

doi = "10.1109/ETFA52439.2022.9921592",

language = "English",

isbn = "978-1-6654-9997-2",

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booktitle = "2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)",

publisher = "IEEE Canada",

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note = "2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) ; Conference date: 06-09-2022 Through 09-09-2022",

}

Polanec, K , Gross, J-A, Brankovic, B & Neureiter, C 2022, Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach. in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)., 9921592, IEEE Canada, pp. 1-4, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 6/09/22. https://doi.org/10.1109/ETFA52439.2022.9921592

Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach. / Polanec, Katharina ; Gross, Jounes-Alexander; Brankovic, Boris et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE Canada, 2022. p. 1-4 9921592.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach

AU - Polanec, Katharina

AU - Gross, Jounes-Alexander

AU - Brankovic, Boris

AU - Neureiter, Christian

PY - 2022/9/9

Y1 - 2022/9/9

N2 - Due to the rising complexity in the automotive domain a suitable modeling framework to facilitate development as well as interdisciplinary communication is needed. In the domain of smart grids, the Smart Grid Architecture Model (SGAM) framework turned out to be a suitable tool for coping with complexity whilst providing cross-disciplinary understanding. A similar approach exists for the automotive domain: the Automotive Reference Architecture Model (ARAM) framework. As opposed to other automotive frameworks, this one offers interoperability with the smart grid framework, which simplifies cross-domain collaboration. During the development of ARAM, the Software Platform Embedded Systems (SPES) methodology gained momentum. This methodology can be considered an architectural model while the automotive framework can be considered an analysis model, according to the domain-specific systems engineering approach. In order to follow this approach, a transformation between the two models must be possible. This work-in-progress paper aims at presenting first approaches of an adapted version of the ARAM framework, proposing a reworked structure that is compatible with both, SGAM and SPES.

AB - Due to the rising complexity in the automotive domain a suitable modeling framework to facilitate development as well as interdisciplinary communication is needed. In the domain of smart grids, the Smart Grid Architecture Model (SGAM) framework turned out to be a suitable tool for coping with complexity whilst providing cross-disciplinary understanding. A similar approach exists for the automotive domain: the Automotive Reference Architecture Model (ARAM) framework. As opposed to other automotive frameworks, this one offers interoperability with the smart grid framework, which simplifies cross-domain collaboration. During the development of ARAM, the Software Platform Embedded Systems (SPES) methodology gained momentum. This methodology can be considered an architectural model while the automotive framework can be considered an analysis model, according to the domain-specific systems engineering approach. In order to follow this approach, a transformation between the two models must be possible. This work-in-progress paper aims at presenting first approaches of an adapted version of the ARAM framework, proposing a reworked structure that is compatible with both, SGAM and SPES.

KW - Adaptation models

KW - Analytical models

KW - Embedded systems

KW - Computer architecture

KW - Software

KW - Smart grids

KW - Complexity theory

UR - https://ieeexplore.ieee.org/document/9921592/

U2 - 10.1109/ETFA52439.2022.9921592

DO - 10.1109/ETFA52439.2022.9921592

M3 - Conference contribution

SN - 978-1-6654-9997-2

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EP - 4

BT - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE Canada

T2 - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

Y2 - 6 September 2022 through 9 September 2022

ER -

Evolution of the Automotive Reference Architecture Model towards a Domain-Specific Systems Engineering Approach

Abstract

Conference

UN SDGs

Keywords

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

Applied Research Level (ARL)

Research focus/foci

Access to Document

Other files and links

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Cite this