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

机译:组成消息序列图(CMSC)比MSC更好地实现

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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:通信有限状态机(CFM)和消息序列图(简称MSC图)是通信系统的两种流行的规范形式。 MSC图形捕获需求(方案),因此它们是设计过程的起点。实现MSC图形意味着获得等效的无死锁CFM,因为CFM对应于分布式消息传递算法。已经为实现提出了一些部分答案。例如,局部选择MSC-图形成了无死锁CFM的子类:因此,与某些局部选择MSC-图测试等效性是实现问题的部分答案。我们使用组合式MSC提出了一种新算法,该算法比MSC能够捕获更多可实现的模型。此外,实现的大小减少了一个指数。

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