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An Analysis of Forward Simulation Data Refinement

机译:前向仿真数据细化的分析

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This paper investigates data refinement by forward simulation for specifications whose semantics is given by partial relations. The most well-known example of such a semantics is that for Z. The standard model-theoretic approach is based on totalisation and lifting. The paper examines this model, exploring and isolating the precise roles played by lifting and totalisation in the standard account by introducing a simpler, normative theory of forward simulation data refinement (SF-refinement) which captures refinement directly in the language and in terms of the natural properties of preconditions and postconditions. This theory is used in conjunction with four other model-theoretic approaches to determine the extent to which the standard approach is canonical, and the extent to which it is arbitrary.
机译:本文研究了通过正向仿真对规范由部分关系给出的规范进行数据精炼。这种语义的最著名示例是Z的语义。标准的模型理论方法基于求和和提升。本文研究了该模型,通过引入更简单的规范性前向仿真数据细化(SF-refinement)理论,探索并隔离了在标准帐户中提升和总计所扮演的确切角色,该理论直接用语言和术语来捕获细化。前提条件和后置条件的自然属性。该理论与其他四个模型理论方法一起使用,以确定标准方法的规范程度和任意性。

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