Abstract. The classical method for program analysis by abstract in-terpretation consists in computing a increasing sequence with widening, which converges towards a correct solution, then computing a decreasing sequence of correct solutions without widening. It is generally admit-ted that, when the decreasing sequence reaches a fixpoint, it cannot be improved further. As a consequence, all efforts for improving the pre-cision of an analysis have been devoted to improving the limit of the increasing sequence. In this paper, we propose a method to improve a fixpoint after its computation. The method consists in projecting the solution onto well-chosen components and to start again increasing and decreasing sequences from the result of the pro...
AbstractIn this paper, we explore the adaptation of policy iteration techniques to compute greatest ...
AbstractMuch of the earlier development of abstract interpretation, and its application to imperativ...
In this paper we present a generalization and a computational improvement of the Bound Improvement S...
International audienceThe classical method for program analysis by abstract in- terpretation consist...
International audienceThe classical method for program analysis by abstract interpretation consists ...
International audienceStatic analysis by abstract interpretation aims at automatically proving prope...
AbstractStatic analysis by abstract interpretation aims at automatically proving properties of compu...
Static analysis by abstract interpretation aims at automatically proving properties of computer prog...
AbstractStatic analysis by abstract interpretation aims at automatically proving properties of compu...
AbstractNumerical static program analyses by abstract interpretation, e.g., the problem of inferring...
International audienceStatic analysis by abstract interpretation aims at automatically proving prope...
Abstract. We propose a novel approach for computing weakest liberal safe pre-conditions of programs....
This paper presents an efficient algorithm for solving the fixpoints that arise in complex program a...
We propose a novel approach for computing weakest liberal safe preconditions of programs. The standa...
FuncTion is a static analyzer designed for proving conditional termination of C programs by means of...
AbstractIn this paper, we explore the adaptation of policy iteration techniques to compute greatest ...
AbstractMuch of the earlier development of abstract interpretation, and its application to imperativ...
In this paper we present a generalization and a computational improvement of the Bound Improvement S...
International audienceThe classical method for program analysis by abstract in- terpretation consist...
International audienceThe classical method for program analysis by abstract interpretation consists ...
International audienceStatic analysis by abstract interpretation aims at automatically proving prope...
AbstractStatic analysis by abstract interpretation aims at automatically proving properties of compu...
Static analysis by abstract interpretation aims at automatically proving properties of computer prog...
AbstractStatic analysis by abstract interpretation aims at automatically proving properties of compu...
AbstractNumerical static program analyses by abstract interpretation, e.g., the problem of inferring...
International audienceStatic analysis by abstract interpretation aims at automatically proving prope...
Abstract. We propose a novel approach for computing weakest liberal safe pre-conditions of programs....
This paper presents an efficient algorithm for solving the fixpoints that arise in complex program a...
We propose a novel approach for computing weakest liberal safe preconditions of programs. The standa...
FuncTion is a static analyzer designed for proving conditional termination of C programs by means of...
AbstractIn this paper, we explore the adaptation of policy iteration techniques to compute greatest ...
AbstractMuch of the earlier development of abstract interpretation, and its application to imperativ...
In this paper we present a generalization and a computational improvement of the Bound Improvement S...