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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Results in engineering Ročník 27; s. 105900
Hlavní autori:	Abboush, Mohammad, Knieke, Christoph, Rausch, Andreas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2025 Elsevier
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!