Scenario Sampling for Cyber Physical Systems using Combinatorial Testing
Akihisa Yamada, Clovis Eberhart, Fuyuki Ishikawa, Nian-Ze Lee · 2019
Physical and continuous aspects are inevitable in cyber physical systems like automated driving systems. Despite the success of combinatorial testing on discrete systems, there is a fundamental challenge in applying combinatorial testing techniques when continuous parameters are involved. This extended abstract presents an initial step towards applying combinatorial testing to systems in which discrete and continuous parameters are mixed. We define a generic XML-based language for describing the test space of such systems and provide a prototype implementation to generate test cases, using externally the combinatorial test tool PICT.