Decision Procedures: An Algorithmic Point of View

by Daniel Kroening, Ofer Strichman, R.E. Bryant (Foreword)

A decision procedure is an algorithm that, given a decision problem, terminates with a correct yes/no answer. Here, the authors focus on theories that are expressive enough to model real problems, but are still decidable. Specifically, the book concentrates on decision procedures for first-order theories that are commonly used in automated verification and reasoning, theorem-proving, compiler optimization and operations research. The techniques described in the book draw from fields such as graph theory and logic, and are routinely used in industry.
The authors introduce the basic terminology of satisfiability modulo theories and then, in separate chapters, study decision procedures for each of the following propositional logic; equalities and uninterpreted functions; linear arithmetic; bit vectors; arrays; pointer logic; and quantified formulas. They also study the problem of deciding combined theories and dedicate a chapter to modern techniques based on an interplay between a SAT solver and a decision procedure for the investigated theory.
This textbook has been used to teach undergraduate and graduate courses at ETH Zurich, at the Technion, Haifa, and at the University of Oxford. Each chapter includes a detailed bibliography and exercises. Lecturers' slides and a C++ library for rapid prototyping of decision procedures are available from the authors' website.

Genres: Computer Science

322 pages, Hardcover

First published May 23, 2008

About the author

Daniel Kroening is Professor of Computer Science at the University of Oxford.

Reviews

[Abdullah Shams · Rating 5 out of 5]

Complete, precise and elaborate.

-contains detailed code reference in C++ for the use of SMT-Lib