Data Refinement by Kai Engelhardt

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Summary

Graduate text in formal methods in computer science.

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Data Refinement by Kai Engelhardt

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.
The presentation of the theory is backed up by some substantial examples..and this together with the extensive historical notes makes the book an extremely useful reference manual and graduate text.
SKU Unavailable
ISBN 13 9780521103503
ISBN 10 0521103509
Title Data Refinement
Author Kai Engelhardt
Series Cambridge Tracts In Theoretical Computer Science
Condition Unavailable
Binding Type Paperback
Publisher Cambridge University Press
Year published 2008-12-18
Number of pages 436
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.