  Automated driving functions (ADFs) have become increasingly popular in recent
years. However, their safety must be assured. Thus, the verification and
validation of these functions is still an important open issue in research and
development. To achieve this efficiently, scenario-based testing has been
established as a valuable methodology among researchers, industry, as well as
authorities. Simulations are a powerful way to test those scenarios
reproducibly. In this paper, we propose a method to automatically test a set of
scenarios in many variations. In contrast to related approaches, those
variations are not applied to traffic participants around the ADF, but to the
road network to show that parameters regarding the road topology also influence
the performance of such an ADF. We present a continuous tool chain to set up
scenarios, variate them, run simulations and finally, evaluate the performance
with a set of key performance indicators (KPIs).
