Data Refinement: Model-Oriented Proof Methods and Their Comparison (Paperback)

Willem-Paul de Roever

ISBN 10: 0521103509 / ISBN 13: 9780521103503

Published by Cambridge University Press, Cambridge, 2008

About this Item

Paperback. 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. Graduate text in formal methods in computer science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780521103503

Bibliographic Details

• Title: Data Refinement: Model-Oriented Proof Methods and Their Comparison (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2008
• Language: English
• ISBN 10: 0521103509
• ISBN 13: 9780521103503
• Binding: Paperback
• Condition: new

About this title

Synopsis

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 topics of Hoare Logic and the Refinement Calculus are introduced and a general theory of simulations is developed and related to them. Accessibility and comprehension are emphasized in order to guide newcomers to the area. The book's second part contains a detailed survey of important methods in this field, such as VDM, and the methods due to Abadi & Lamport, Hehner, Lynch and Reynolds, Back's refinement calculus and Z. All these methods are carefully analysed, and shown to be either imcomplete, 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 analyzed 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.

Book Description

This is a comprehensive and systematic account of the important and highly applicable method of data refinement, which is one of the most powerful formal methods for system development. The authors concentrate on principles and begin with an explanation of the fundamental notions behind data refinement and simulation. Accessibility and comprehension are emphasised in order to guide newcomers to the area. The remaining chapters are comparitive in nature, looking at a variety of formal methods and how they may be best applied.The book is self-contained, going from advanced undergraduate level but taking the reader to the state-of-the-art in methods for proving simulation.