research-article

Electrics/Electronics Platforms in the Automotive Industry: Challenges and Directions for Variant-Rich Systems Engineering

Authors:

Lennart Holsten,

Christian Frank,

Thomas LeichAuthors Info & Claims

VaMoS '23: Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems

Pages 50 - 59

https://doi.org/10.1145/3571788.3571796

Published: 25 January 2023 Publication History

Abstract

Within the automotive industry, platform strategies are successfully used to efficiently develop large variant-rich systems. In parallel, new features in automotive systems continue to originate more and more from software-driven rather than hardware-driven innovations. To manage the growing relevance of software, automotive companies increasingly adopt concepts and methods from software-platform engineering, such as software product lines. However, there is a lack of concepts for integrated systems-platform engineering to support the management of hardware, software, and particularly their interactions within a (cyber-physical) variant-rich system. One particular concept that has been proposed to manage automotive-systems engineering are electrics/electronics platforms, but these are not well researched in the context of managing variant-rich systems. In this paper, we investigate the feasibility of electrics/electronics platforms for managing variant-rich automotive systems throughout their whole life-cycle with their increasing share of software as well as of hardware-software interactions. For this purpose, we build on literature to elicit and compare concepts of electrics/electronics platforms with those of software and hardware platforms, and map these concepts to state-of-art practices employed at one automotive company. Based on these comparisons, we identify key challenges and research directions to move towards the practical adoption of electrics/electronics platforms in the automotive industry.

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Cited By

Zellmer PKrüger JLeich Td'Amorim M(2024)Decision Making for Managing Automotive Platforms: An Interview Survey on the State-of-PracticeCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663851(318-328)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663851
Holsten LKrüger JLeich Td'Amorim M(2024)Insights into Transitioning towards Electrics/Electronics Platform Management in the Automotive IndustryCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663837(161-172)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663837
Güthing LPett TSchaefer I(2024)Out-of-the-Box Prediction of Non-Functional Variant Properties Using Automated Machine LearningProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676546(82-87)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676546

Index Terms

Electrics/Electronics Platforms in the Automotive Industry: Challenges and Directions for Variant-Rich Systems Engineering
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software post-development issues
      1. Maintaining software

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VaMoS '23: Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems

January 2023

101 pages

ISBN:9798400700019

DOI:10.1145/3571788

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Published: 25 January 2023

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VaMoS 2023: 17th International Working Conference on Variability Modelling of Software-Intensive Systems

January 25 - 27, 2023

Odense, Denmark

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Zellmer PKrüger JLeich Td'Amorim M(2024)Decision Making for Managing Automotive Platforms: An Interview Survey on the State-of-PracticeCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663851(318-328)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663851
Holsten LKrüger JLeich Td'Amorim M(2024)Insights into Transitioning towards Electrics/Electronics Platform Management in the Automotive IndustryCompanion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering10.1145/3663529.3663837(161-172)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3663529.3663837
Güthing LPett TSchaefer I(2024)Out-of-the-Box Prediction of Non-Functional Variant Properties Using Automated Machine LearningProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676546(82-87)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676546

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