Automating fault test cases generation and execution for automotive safety validation via nlp and hil simulation

HIGHLIGHTS

• What: The authors propose an approach using natural language processing (NLP) technologies to automatically derive the fault test cases from the functional safety requirements (FSRs) and execute them automatically by hardware-in-the-loop (HIL) in real time according to the black-box concept and the ISO 26262 standard. This approach provides an excellent balance of thoroughness, adaptability, and cost-efficiency, which is in line with the project requirements. The aim of SymPLFIED is to use symbolic execution for data error injection . The aim of this procedure is to improve failure analysis for RAMS frameworks and comply . . .
  

   

  

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