  Search-based software testing (SBT) is an effective and efficient approach
for testing automated driving systems (ADS). However, testing pipelines for ADS
testing are particularly challenging as they involve integrating complex
driving simulation platforms and establishing communication protocols and APIs
with the desired search algorithm. This complexity prevents a wide adoption of
SBT and thorough empirical comparative experiments with different simulators
and search approaches. We present OpenSBT, an open-source, modular and
extensible framework to facilitate the SBT of ADS. With OpenSBT, it is possible
to integrate simulators with an embedded system under test, search algorithms
and fitness functions for testing. We describe the architecture and show the
usage of our framework by applying different search algorithms for testing
Automated Emergency Braking Systems in CARLA as well in the high-fidelity
Prescan simulator in collaboration with our industrial partner DENSO. OpenSBT
is available at https://git.fortiss.org/opensbt. A demo video is provided here:
https://youtu.be/6csl\_UAOD\_4.
