SALE ON KIDS & YA BOOKSCOOL! SHOW ME

Close Notification

Your cart does not contain any items

$71.95

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Cambridge University Press
18 December 2008
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.
By:   , ,
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Volume:   47
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 25mm
Weight:   640g
ISBN:   9780521103503
ISBN 10:   0521103509
Series:   Cambridge Tracts in Theoretical Computer Science
Pages:   436
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Reviews for Data Refinement: Model-Oriented Proof Methods and their Comparison

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.


See Also