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Automated Test Process for Highly Configurable Software-Defined Mobility Systems in CI/CD University of Stuttgart IAS

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Hettich, Lennard, author.
Contributor:
Eriş, Halit
Nägele, Ann-Therese
Pett, Tobias
Sax, Eric
Schaefer, Ina
Schindewolf, Marc
Wagner, Stefan
Weyrich, Michael
Conference Name:
2025 Stuttgart International Symposium (2025-07-02 : Stuttgart, Germany)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
In the pursuit of customizability and evolvability of vehicle functions, manufacturers shift towards software-defined vehicles to enable flexible customization and over-the-air updates. This results in multiple variants and versions of a vehicle model. While shifting to software-defined vehicles (SDVs) adds value and flexibility for customers, manufacturers struggle with homologating new and updated functionality because existing testing processes do not scale for high-frequency release cycles that limit available testing resources. Overcoming this challenge by using a coherent test process designed for testing continuously evolving variant-rich systems will be one of the key enablers. This paper presents an innovative end-to-end pipeline for efficient and comprehensive testing of variant-rich vehicle functionality tailored to an application in continuous development. Our transferable test pipeline employs sample-based variant selection, a software-in-the-loop environment for executing selected variants, and scenario-based testing using mutation-based scenario fuzzing. A central test controller is responsible for managing the process. We evaluate our test pipeline with regard to its fault detection capability, using the YOLO object detection algorithm as a variant-rich test object in the CARLA simulator. Our results show that the testing process outperforms random variant sampling and scenario mutation in detecting faults
Notes:
Vendor supplied data
Publisher Number:
2025-01-0297
Access Restriction:
Restricted for use by site license

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