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A Single Complete refinement Rule for Z

机译:Z的一个完整完善规则

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Data refinement is a well established technique for transforming specifications of abstract data types into ones which are closer to an eventual implementation. The conditions under which a transformation is a correct refinement can be encapsulated into two simulation rules: downward and upward simulations. These simulations are known to be sound and jointly complete for boundedly-nondeterministic specifications. In this note we derive a single complete refinement method and show how it may be formulated in Z, this is achieved by using possibility mappings. The use of possibility mappings themselves is not new, our aim here is to reformulate them for use within the Z specification language.
机译:数据优化是一种完善的技术,用于将抽象数据类型的规范转换为更接近最终实现的规范。可以正确地进行转换的条件可以封装为两个模拟规则:向下和向上模拟。众所周知,这些模拟是合理的,并且对于确定性不确定的规范共同完成。在本说明中,我们导出了一个完整的细化方法,并显示了如何用Z公式化,这是通过使用可能性映射来实现的。可能性映射本身的使用并不是什么新鲜事物,我们在这里的目标是重新构造它们以便在Z规范语言中使用。

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