S. Klikovits, E. Castellano, A. Cetinkaya, P. Arcaini: Frenetic-lib: An extensible framework for search-based generation of road structures for ADS testing, Science of Computer Programming, Vol 230, 2023, Doi: 10.1016/j.scico.2023.102996
Being capable of identifying significant safety shortcomings, search-based methods are a core tool for testing automated driving system (ADS) technologies. In this domain, Frenetic has proven to be a popular and very effective tool, searching and identifying diverse sets of roads that point out potentially faulty ADS behaviour. This paper presents Frenetic-lib, a Python library that captures Frenetic’s novel combination of road representation and genetic algorithm, and makes it generally available in a customisable way. Next to the capacity to integrate additional ADS simulators, Frenetic-lib further creates new research opportunities on search-based road testing, novel road representations and mutation operators.