Add to ORKGAbstract. 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.
International audienceWe propose a method for automatically generating abstract transformers for sta...
In this paper we apply abstract interpretation to systematically derive, compose and compare semanti...
In recent years, the use of symbolic analysis in systems for testing and verifying programs has exp...
This paper shows how to achieve, under certain conditions, abstract-interpretation algorithms that e...
In 1979, Cousot and Cousot gave a specification of the best (most-precise) abstract transformer poss...
Given a concrete domain C, a concrete operation tau: C -> C, and an abstract domain A, a fundamental...
In 1979, Cousot and Cousot gave a specification of the ?best? (most-precise) abstract transformer po...
Abstract. Shape analysis concerns the problem of determining “shape invari-ants ” for programs that ...
Abstract. This paper is concerned with one of the basic problems in abstract interpretation, namely,...
This dissertation explores the use of abstraction in two areas of automated reasoning: verification ...
The traditional abstract domain framework for imperative programs suers from several shortcomings; i...
AbstractIn 1997, Cousot introduced a hierarchy where semantics are related with each other by abstra...
Symbolic representations of systems can achieve a high degree of compaction relative to more explici...
International audienceWe propose a method for automatically generating abstract transformers for sta...
AbstractAbstract interpretation provides an elegant formalism for performing program analysis. Unfor...
International audienceWe propose a method for automatically generating abstract transformers for sta...
In this paper we apply abstract interpretation to systematically derive, compose and compare semanti...
In recent years, the use of symbolic analysis in systems for testing and verifying programs has exp...
This paper shows how to achieve, under certain conditions, abstract-interpretation algorithms that e...
In 1979, Cousot and Cousot gave a specification of the best (most-precise) abstract transformer poss...
Given a concrete domain C, a concrete operation tau: C -> C, and an abstract domain A, a fundamental...
In 1979, Cousot and Cousot gave a specification of the ?best? (most-precise) abstract transformer po...
Abstract. Shape analysis concerns the problem of determining “shape invari-ants ” for programs that ...
Abstract. This paper is concerned with one of the basic problems in abstract interpretation, namely,...
This dissertation explores the use of abstraction in two areas of automated reasoning: verification ...
The traditional abstract domain framework for imperative programs suers from several shortcomings; i...
AbstractIn 1997, Cousot introduced a hierarchy where semantics are related with each other by abstra...
Symbolic representations of systems can achieve a high degree of compaction relative to more explici...
International audienceWe propose a method for automatically generating abstract transformers for sta...
AbstractAbstract interpretation provides an elegant formalism for performing program analysis. Unfor...
International audienceWe propose a method for automatically generating abstract transformers for sta...
In this paper we apply abstract interpretation to systematically derive, compose and compare semanti...
In recent years, the use of symbolic analysis in systems for testing and verifying programs has exp...