  Ensuring the safety and performance requirements of automated driving systems
is a major challenge for the automotive industry. One way to tackle this
problem is a simulation-based approach. However, to be able to rely on results
generated by this method, the simulation process needs to fulfill certain
quality criteria depending on the intended usage. Hence, quality should be
measured and determined at many different levels and areas of the testing and
developing landscape, providing information with varying degrees of
abstraction. Additionally, quality not only has to be assessed for a complete
automated driving system but also for the simulation models that approximate
the vehicles' components before they can be used for simulation. This taxonomy
provides a better understanding of the concept of quality during the
development and test process and introduces the possibility to systematically
evaluate whether development steps in this process need to be repeated or
further assessed.
