Data Refinement : Model-Oriented Proof Methods and their Comparison Hardback
by Willem-Paul (Christian-Albrechts Universitat zu Kiel, Germany) de Roever, Kai (University of Technology, Sydney) Engelhardt
Part of the Cambridge Tracts in Theoretical Computer Science series
Hardback
Description
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.
Information
-
Out of stock
- Format:Hardback
- Pages:436 pages, Worked examples or Exercises; 18 Halftones, unspecified
- Publisher:Cambridge University Press
- Publication Date:03/12/1998
- Category:
- ISBN:9780521641708
Information
-
Out of stock
- Format:Hardback
- Pages:436 pages, Worked examples or Exercises; 18 Halftones, unspecified
- Publisher:Cambridge University Press
- Publication Date:03/12/1998
- Category:
- ISBN:9780521641708
