AbstractAbstract interpretation is a systematic methodology to design static program analysis which has been studied extensively in the logic programming community, because of the potential for optimizations in logic programming compilers and the sophistication of the analyses which require conceptual support. With the emergence of efficient generic abstract interpretation algorithms for logic programming, the main burden in building an analysis is the abstract domain which gives a safe approximation of the concrete domain of computation. However, accurate abstract domains for logic programming are often complex not only because of the relational nature of logic programming languages and of their typical interprocedural control-flow, but al...
AbstractAbstract interpretation is a theory of semantics approximation that is used for the construc...
We clarify the relationship between abstract interpretation and program specialisation in the contex...
AbstractIt is well-known that adding structural information to an analysis domain can increase the p...
AbstractAbstract interpretation is a systematic methodology to design static program analysis which ...
Abstract interpretation [7] is a systematic methodology to design static program analysis which has ...
This article considers static analysis based on abstract interpretation of logic programs over combi...
In this paper we consider static analyses based on abstract interpretation of logic programs over co...
AbstractIn this paper we propose a simple framework based on first-order logic, for the design and d...
© Springer-Verlag Berlin Heidelberg 1994. We report on an experiment with two tools for global analy...
In this article, we show that reversible analyses of logic languages by abstract interpretation can ...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
AbstractThis paper illustrates the role of a class of “prop”-ositional logic programs in the analysi...
In this article, we show that reversible analyses of logic languages by abstract interpretation can ...
AbstractIn the context of standard abstract interpretation theory, we define the inverse operation t...
We clarify the relationship between abstract interpretation and program spe-cialisation in the conte...
AbstractAbstract interpretation is a theory of semantics approximation that is used for the construc...
We clarify the relationship between abstract interpretation and program specialisation in the contex...
AbstractIt is well-known that adding structural information to an analysis domain can increase the p...
AbstractAbstract interpretation is a systematic methodology to design static program analysis which ...
Abstract interpretation [7] is a systematic methodology to design static program analysis which has ...
This article considers static analysis based on abstract interpretation of logic programs over combi...
In this paper we consider static analyses based on abstract interpretation of logic programs over co...
AbstractIn this paper we propose a simple framework based on first-order logic, for the design and d...
© Springer-Verlag Berlin Heidelberg 1994. We report on an experiment with two tools for global analy...
In this article, we show that reversible analyses of logic languages by abstract interpretation can ...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
AbstractThis paper illustrates the role of a class of “prop”-ositional logic programs in the analysi...
In this article, we show that reversible analyses of logic languages by abstract interpretation can ...
AbstractIn the context of standard abstract interpretation theory, we define the inverse operation t...
We clarify the relationship between abstract interpretation and program spe-cialisation in the conte...
AbstractAbstract interpretation is a theory of semantics approximation that is used for the construc...
We clarify the relationship between abstract interpretation and program specialisation in the contex...
AbstractIt is well-known that adding structural information to an analysis domain can increase the p...