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Parameter synthesis for hierarchical concurrent real-time systems

机译:分层并发实时系统的参数综合

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Modeling and verifying complex real-time systems, involving timing delays, are notoriously difficult problems. Checking the correctness of a system for one particular value for each delay does not give any information for other values. It is thus interesting to reason parametrically, by considering that the delays are parameters (unknown constants) and synthesizing a constraint guaranteeing a correct behavior. We present here Parametric Stateful Timed Communicating Sequential Processes, a language capable of specifying and verifying parametric hierarchical real-time systems with complex data structures. Although we prove that the synthesis is undecidable in general, we present several semi-algorithms for efficient parameter synthesis, which behave well in practice. This work has been implemented in a real-time model checker, PSyHCoS, and validated on a set of case studies.
机译:众所周知,复杂的实时系统的建模和验证涉及时序延迟,这是一个非常困难的问题。对于每个延迟,针对某个特定值检查系统的正确性,对于其他值,则不会提供任何信息。因此,通过考虑延迟是参数(未知常数)并合成保证正确行为的约束来进行参数化推理很有趣。我们在这里介绍参数状态定时通信顺序过程,这是一种能够指定和验证具有复杂数据结构的参数分层实时系统的语言。尽管我们证明综合通常是不确定的,但我们提出了一些有效的参数综合半算法,它们在实践中表现良好。这项工作已在实时模型检查器PSyHCoS中实施,并在一组案例研究中得到了验证。

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