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首页> 外文期刊>International Journal of Foundations of Computer Science >QUANTIFYING THE DISCORD: ORDER DISCREPANCIES IN MESSAGE SEQUENCE CHARTS
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QUANTIFYING THE DISCORD: ORDER DISCREPANCIES IN MESSAGE SEQUENCE CHARTS

机译:量化记录:消息序列图中的订单差异

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Message Sequence Charts (MSCs) and High-level Message Sequence Charts (HMSCs) are formalismsnused to describe scenarios of message passing protocols. We propose using Allen’s logic to representnthe temporal order of the messages. We introduce the concept of discord to quantify the discrepanciesnbetween the intuition and the semantics of the ordering between messages in different nodes of annHMSC. We study the algorithmic properties of this concept: we show that while the discord of a pairnof messages is hard to compute in general, the problem becomes polynomial-time computable if thennumber of nodes of the HMSC or the number of processes is constant. Moreover, for a given HMSC,nit is always computationally easy to identify a pair of messages that exhibits the worst-case discordnand compute the discord of this pair.
机译:消息序列图(MSC)和高级消息序列图(HMSC)被形式化地描述了消息传递协议的场景。我们建议使用艾伦的逻辑来表示消息的时间顺序。我们引入了不和谐的概念,以量化直觉和无性MSC中不同节点中消息之间排序的语义之间的差异。我们研究了该概念的算法特性:我们证明,虽然通常很难计算成对消息的不一致性,但是如果HMSC的节点数或进程数不变,则该问题变为多项式时间可计算的。而且,对于给定的HMSC,nit在计算上总是很容易识别出表现出最坏情况不一致的消息对,并计算该对消息的不一致。

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