We present MASS, a mutation analysis tool for embedded software in cyber-physical systems (CPS). We target space CPS (e.g., satellites) and other CPS with similar characteristics (e.g., UAV).

Mutation analysis measures the quality of test suites in terms of the percentage of artificial faults detected. There are many mutation analysis tools available but they are inapplicable to CPS because of scalability and accuracy challenges. To overcome such limitations, MASS implements a set of optimization techniques that enable the applicability of mutation analysis and address scalability and accuracy in the CPS context. MASS has been successfully evaluated on a large study involving embedded software systems provided by industry partners; the study includes an on-board software system managing a microsatellite currently on-orbit, a set of libraries used in deployed CubeSats, and a mathematical library provided by the European Space Agency.