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.