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Variant-aware Reconfiguration of Automotive Virtual Test Environments

Seidel, Luca 1; Guissouma, Houssem 1; Schmid, Andreas; Sax, Eric 1
1 Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Modern vehicles offer a multitude of features, adapting to individual preferences. Addressing the challenge of efficiently testing a wide range of automotive system variants within a virtual test environment is crucial in the face of the growing complexity of these vehicles. With numerous configuration options and frequent software updates, there's a pressing need for a standardized approach to variant-aware reconfiguration.
In response to this challenge, we propose a delta-based reconfiguration of a virtual test environment with modular components. This reconfiguration process allows a dynamic and efficient adaption based on selected features of the module under test. Leveraging feature models, we define relationships between features and their impact on the mut and test environment configuration.
Our paper introduces a concept for variant-aware reconfiguration. This concept utilizes a 150% model, representing a superset of a module containing all necessary assets to derive any variant. Additionally, we employ delta analysis to reduce reconfiguration efforts by identifying only the necessary adjustments based on changes in selected features.


Verlagsausgabe §
DOI: 10.5445/IR/1000177796
Veröffentlicht am 08.01.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.09.2024
Sprache Englisch
Identifikator ISBN: 978-2-9573777-5-6
KITopen-ID: 1000177796
Erschienen in Vol.9 - Driving Simulation Conference Europe 2024 VR (DSC 2024), Driving Simulation and Virtual Reality Conference and Exhibition, Straßburg, 18th-20th September 2024
Veranstaltung 23rd Driving Simulation and Virtual Reality Conference and Exhibition (DSC 2024), Straßburg, Frankreich, 18.09.2024 – 20.09.2024
Seiten 221 - 226
Projektinformation SofDCar (BMWK, 19S21002K)
Schlagwörter Virtual Test Environment, Driving Simulation, Variant Management, Reconfiguration, Automotive, 23rd Driving Simulation and Virtual Reality Conference and Exhibition (DSC) Straßburg, 18th-20th September 2024
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