Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Data Refinement

Data Refinement

Data Refinement

Model-Oriented Proof Methods and their Comparison
Willem-Paul de Roever, Christian-Albrechts Universität zu Kiel, Germany
Kai Engelhardt, University of Technology, Sydney
December 2008
Paperback
9780521103503

    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.

    • Broad-based and comparative treatment of methods
    • Exercises provided for students
    • Historical illustrations

    Reviews & endorsements

    "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 more reviews

    Product details

    December 2008
    Paperback
    9780521103503
    436 pages
    229 × 152 × 25 mm
    0.64kg
    18 b/w illus. 93 exercises
    Available

    Table of Contents

    • Part I. Theory:
    • 1. Introduction to data refinement
    • 2. Simulation as a proof method for data refinement
    • 3. Relations and recursion
    • 4. Properties of simulation
    • 5. Notation and semantics
    • 6. A Hoare logic
    • 7. Simulation and Hoare logic
    • 8. An extension to total correctness
    • 9. Simulation and total correctness
    • 10. Refinement calculus
    • Part II. Applications:
    • 11. Reynolds' method
    • 12. VDM
    • 13. Z, Hehner's method and Back's refinement calculus
    • 14. Refinement methods due to Abadi & Lamport and Lynch. Appendix A. An introduction to Hoare logic
    • Appendix B. A primer on ordinals and transfinite induction
    • Appendix C. Notational convention
    • Appendix D. Precedences
    • Bibliography
    • Index.
    Resources for
    Type
    Author's website