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.
Graduate text in formal methods in computer science.
"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."
|
Ask a Question About this Product More... |
|
