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Compositional Message Sequence Charts (CMSCs) Are Better to Implement Than MSCs

机译:组成消息序列图(CMSCS)更好地实现MSCS

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Communicating Finite States Machines (CFMs) and Message Sequence Graphs (MSC-graphs for short) are two popular specification formalisms for communicating systems. MSC-graphs capture requirements (scenarios), hence they are the starting point of the design process. Implementing an MSC-graph means obtaining an equivalent deadlock-free CFM, since CFMs correspond to distributed message-passing algorithms. Several partial answers for the implementation have been proposed. E.g., local-choice MSC-graphs form a subclass of deadlock-free CFM: Testing equivalence with some local-choice MSC-graph is thus a partial answer to the implementation problem. Using Compositional MSCs, we propose a new algorithm which captures more implementable models than with MSCs. Furthermore, the size of the implementation is reduced by one exponential.
机译:传送有限状态机(CFMS)和消息序列图(短路MSC图)是用于通信系统的两个流行的规范形式主义。 MSC图捕获要求(方案),因此它们是设计过程的起点。实现MSC图意味着获得等效的死锁CFM,因为CFMS对应于分布式消息传递算法。已经提出了一些实施的部分答案。例如,本地选择MSC图形形成了无锁定的CFM的子类:测试等价与某​​些本地选择MSC图是实现问题的部分答案。使用组成MSCS,我们提出了一种新的算法,其捕获比使用MSC更具可实现的模型。此外,实现的尺寸减少了一个指数。

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