EvoMBT at the SBST 2022 tool competition
Raihana Ferdous, Chiakang Hung, Fitsum Meshesha Kifetew, Davide Prandi, Angelo Susi · 2022
EvoMBT is a model-based test generator that uses search algorithms to generate tests from a given extended finite state machine (EFSM). In the context of Cyber-physical systems (CPS) testing, and in particular self-driving cars, we model a set of road configurations as an EFSM and use EvoMBT to generate different roads for testing the car. This report briefly introduces EvoMBT and summarizes its results in the Cyber-physical systems testing competition at SBST 2022. Overall the results achieved by EvoMBT are promising where effectiveness and efficiency scores are quite good while the scores related to diversity need improvement.