Comparing two systematic approaches for testing automated driving functions Thoroughly validating and verifying automated or autonomous driving functions is inevitable for assuring to meet quality criteria for safetycritical systems. In this paper, we discuss two system testing techniques that have been already used for detecting critical situations for the automated emergency braking function based on vehicle simulations. In particular, we introduce combinatorial testing and searchbased testing techniques and compare them. Whereas the first is for identifying interactions of parameters that lead to harmful situations considering predefined value domains, the latter is for finding parameter values that cause such critical situations. We discuss the underlying foundations behind the methods as well as their potential application areas. In addition, we summarize the results obtained when using these methods for testing automated emergency braking.

Experience Paper: SearchBased Testing in Automated Driving Control Applications Automated test generation and evaluation in simulation environments is a key technology for verification of automated driving (AD) applications. Searchbased testing (SBT) is an approach for automated test generation that leverages optimization to efficiently generate interesting concrete tests from abstract test descriptions. In this experience paper, we report on our observations after successfully applying SBT to AD control applications in several use cases with different characteristics. Based on our experiences, we derive a number of lessons learned that we consider important for the adoption of SBT methods and tools in industrial settings. The key lesson is that SBT finds relevant errors and provides valuable feedback to the developers, but requires tool support for writing specifications.