A Fully Automated, Deployment-Aware Testing Pipeline for IoT-Based Automotive Applications
This work presents an end-to-end, deployment-aware testing pipeline for IoT-based automotive applications that combines requirement-driven test and code generation with large language model (LLM) and vision-language model (VLM) assistance, and human-in-the-loop curation to reduce manual effort and improve consistency.
Denesa Zyberaj, Roman Vintonyak, Pascal Hirmer et al.
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