Automata Learning for Automated Test Generation of Real Time Localization Systems
Swantje Plambeck, Jakob Schyga, Johannes Hinckeldeyn, Jochen Kreutzfeldt, Görschwin Fey · arXiv (Cornell University) · 2021
Cyber Physical Systems (CPSs) are often black box systems for which no exact model exists. Automata learning allows to build abstract models of CPSs and is used in several scenarios, i.e. simulation, monitoring, and test case generation. Real time localization systems (RTLSs) are an example of particularly complex and often safety critical CPSs. We present a procedure for automatic test case generation with automata learning and apply this approach in a case study to a localization system.