Validating the safety of automated vehicles (AVs) is paramount due to the risks associated with their deployment. Scenario-based testing has emerged as an approach to decompose the overall validation of AVs into smaller components represented by individual driving scenarios. However, identifying critical scenarios and selecting suitable test setups for scenario execution remain open challenges. Real-world tests involving AVs and their environment are considered the trustworthy gold standard. However, within economic constraints, it is impossible to collect sufficient data to prove a positive...