Verification, Model Checking, and Abstract Interpretation

Abstract

This paper shows how to achieve, under certain conditions, abstract-interpretation algorithms that enjoy the best possible precision for a given abstraction. The key idea is a simple process of successive approximation that makes repeated calls to a decision procedure, and obtains the best abstract value for a set of concrete stores that are represented symbolically, using a logical formula.