Using probabilistic analysis for the certification of machine control systems

Abstract

Traditional testing techniques often reach their limits when employed for the assessment of critical Machine Control Systems as they contain a large amount of random and unpredictable components. The probabilistic analysis approach can assist in their evaluation by providing a subjective evidence of their safety and reliability. The synergy of probabilistic analysis and expressiveness of higher-order logic theorem proving results into convincing modelling and reasoning of several stringent safety cases that contribute towards the certification of high-assurance systems. © IFIP International Federation for Information Processing 2013.