A formal approach to analysis of software architectures for real-time systems

University dissertation from Uppsala universitet

Abstract: A software architecture is a high-level design description of a software system. In terms of the architecture, early design decisions can be analyzed to improve the quality of a real-time software system, which depends very much on how it is structured rather than how it is implemented. Architectural analysis techniques vary in their degree of formality. The least formal is based on reviews and scenarios, whereas the most formal analysis methods are based on mathematics. In this thesis, we propose to use a formal approach to software architectural analysis. We use networks of timed automata to model the architecture of real-time systems and transform architectural analysis problems to reachability problems that can be checked by the existing tools for timed automata. The typical properties that can be handled using this approach are schedulability and safety properties.As the first technical contribution, we extend the classic model of timed automata with a notion of real-time tasks. This yields a general model for real-time systems in which tasks may be periodic and non-periodic. We show that the schedulability problem for the extended model can be transformed to a reachability problem for standard timed automata, and thus it can be checked by existing model-checking tools, e.g., UPPAAL for timed automata. As the second contribution, we present a method to check general high level temporal requirements e.g. timing constraints on data flowing in multi-rate transactions, which cannot be handled by traditional approach to schedulability analysis. We have developed an algorithm that given a data dependency model and a schedule for a transaction constructs a timed automaton describing the behavior of the transaction. Thus, by using existing verification tools we can verify that a given architecture is schedulable and more importantly, it is correctly constructed with respect to the high level temporal constraints.

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