Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.  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  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."  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.
['Eckard Böde', 'Marc Herbstritt', 'Holger Hermanns', 'Sven Johr', 'Thomas Peikenkamp', 'Reza Pulungan', 'Jan-Hendrik Rakow', 'Ralf Wimmer', 'Bernd Becker']
I am writing a research paper on a idea Compositional Dependability Evaluation for STATEMATE
[{"from": "human", "value": "I am writing a research paper on a idea Compositional Dependability Evaluation for STATEMATE"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.  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  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.\"  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."}]