AI RESEARCH
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
arXiv CS.AI
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ArXi:2603.08165v1 Announce Type: cross Advancements in data-driven machine learning have emerged as a pivotal element in ing automotive software systems (ASSs) engineering across various levels of the V-development process. Duringsystemverificationandvalidation,theintegrationofanintelligent fault detection anddiagnosis (FDD) model with test recordings analysis process serves as a powerful tool for efficiency ensuring functional safety.