Data Refinement: Model-Oriented Proof Methods and Their Comparison
(Part of the Cambridge Tracts in Theoretical Computer Science Series)
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Book Overview
The goal of this book is to provide a comprehensive and systematic introduction to the important and highly applicable method of data refinement and the simulation methods used for proving its correctness. The authors concentrate in the first part on the general principles needed to prove data refinement correct. They begin with an explanation of the fundamental notions, showing that data refinement proofs reduce to proving simulation. The book's second part contains a detailed survey of important methods in this field, which are carefully analysed, and shown to be either incomplete, with counterexamples to their application, or to be always applicable whenever data refinement holds. This is shown by proving, for the first time, that all these methods can be described and analysed in terms of two simple notions: forward and backward simulation. The book is self-contained, going from advanced undergraduate level and taking the reader to the state of the art in methods for proving simulation.
Format:Paperback
Language:English
ISBN:0521103509
ISBN13:9780521103503
Release Date:December 2008
Publisher:Cambridge University Press
Length:436 Pages
Weight:1.40 lbs.
Dimensions:1.0" x 6.0" x 9.0"
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