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Causal Closure for MSC Languages

机译:MSC语言的因果闭合

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摘要

Message sequence charts (MSCs) are commonly used to specify interactions between agents in communicating systems. Their visual nature makes them attractive for describing scenarios, but also leads to ambiguities that can result in incomplete or inconsistent descriptions. One such problem is that of implied scenarios-a set of MSCs may imply new MSCs which are "locally consistent" with the given set. If local consistency is defined in terms of local projections of actions along each process, it is undecidable whether a set of MSCs is closed with respect to implied scenarios, even for regular MSC languages. We introduce a new and natural notion of local consistency called causal closure, based on the causal view of a process-all the information it collects, directly or indirectly, through its actions. Our main result is that checking whether a set of MSCs is closed with respect to implied scenarios modulo causal closure is decidable for regular MSC languages.
机译:消息序列图(MSCS)通常用于在通信系统中指定代理之间的交互。他们的视觉性质使它们有吸引力的描述情景,而且还导致可能导致描述不完整或不一致的含糊不清的含义。一个这样的问题是隐含的方案 - 一组MSCs可能意味着具有给定集合的“本地一致”的新MSC。如果在沿着每个进程的行动的本地投影方面定义了本地一致性,则甚至是默认的场景,甚至是常规MSC语言的暗示方案,它是难以删除的。根据过程 - 通过其行为,我们介绍了众所周知的众所周知的局部一致性,称为因果封闭封闭式封闭。我们的主要结果是,检查一组MSC是否对隐含的方案封闭,模数因果闭合是常规MSC语言的可判定。

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