Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering

Back-to-back (B2B) test has been introduced as a pivotal method for ensuring equivalence between model-level and implementation-level behaviour during the validation process of Automotive Software Systems (ASSs). Conventionally, the analysis of B2B execution results depends on the application of exp...

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Veröffentlicht in:	Results in engineering Jg. 27; S. 105900
Hauptverfasser:	Abboush, Mohammad, Knieke, Christoph, Rausch, Andreas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2025 Elsevier
Schlagworte:	Automotive software systems Back-to-back testing DBSCAN Deep denoising autoencoder Fault detection and clustering HIL testing ISO 26262 Real-time validation Fault detection and clustering Automotive software systems Deep denoising autoencoder Real-time validation ISO 26262 DBSCAN HIL testing Back-to-back testing
ISSN:	2590-1230, 2590-1230
Online-Zugang:	Volltext
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