We propose a design and verification methodology supporting the early phases of system design for cooperative driver assistance systems, focusing on the realisability of new automotive functions. Specifically, we focus on applications where drivers are supported in complex driving tasks by safe strategies involving the coordinated movements of multiple vehicles to complete the driving task successfully. We propose a divide and conquer approach for formally verifying timed probabilistic requirements on successful completion of the driving task and collision freedom based on formal specifications of a set of given manoeuvring and communication capabilities of the car. In particular, this allows an assessment of whether they are sufficient to implement strategies for successful completion of the driving task.

Software and system dependability is getting ever more important in embedded system design. Current industrial practice of model-based analysis is supported by state-transition diagrammatic notations such as Statecharts. State-of-the-art modelling tools like Statemate support safety and failure-effect analysis at design time, but restricted to qualitative properties. This paper reports on a (plug-in) extension of Statemate enabling the evaluation of quantitative dependability properties at design time. The extension is compositional in the way the model is augmented with probabilistic timing information. This fact is exploited in the construction of the underlying mathematical model, a uniform continuous-time Markov decision process, on which we are able to check requirements of the form: "The probability to hit a safety-critical system configuration within a mission time of 3 hours is at most 0.01." We give a detailed explanation of the construction and evaluation steps making this possible, and report on a nontrivial case study of a high-speed train signalling system where the tool has been applied successfully.