We introduce the operation of domain compression for complete refinements of finite abstract domains. This provides a systematic method for simplifying abstract domains in order to isolate the most abstract domain, when it exists, whose refinement toward completeness for a given semantic function returns a given domain. Domain compression is particularly relevant to compare abstractions in static program analysis and abstract model checking. In this latter case we consider domain compression in predicate abstraction of transition systems
Completeness is a desirable, although uncommon, property of abstract interpretations, formalizing th...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
We study two notions of expressiveness, which have appeared in abstraction theory for model checking...
We introduce the operation of domain compression for complete re nements of nite abstract domains...
In the context of Cousot and Cousot's abstract interpretation theory, we present a general framework...
Completeness in abstract interpretation is an ideal and rare situation where the abstract semantics ...
Abstract. In the context of Cousot and Cousot's abstract interpreta-tion theory, we present a g...
In static analysis, approximation is typically encoded by abstract domains, providing systematic gui...
Completeness is an ideal, although uncommon, feature of abstract interpretations, formalizing the in...
In static analysis, approximation is typically encoded by abstract domains, providing systematic gui...
Predicate abstraction is an automatic technique that can be used to find abstract models of large o...
Abstract interpretation is very useful for program analysis, because it provides a (sound) over-appr...
Many algorithms have been proposed to minimally refine abstract transition systems in order to get s...
Completeness is a key feature of abstract interpretation. It corresponds to exactness of the abstrac...
Completeness is a desirable, although uncommon, property of abstract interpretations, formalizing th...
Completeness is a desirable, although uncommon, property of abstract interpretations, formalizing th...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
We study two notions of expressiveness, which have appeared in abstraction theory for model checking...
We introduce the operation of domain compression for complete re nements of nite abstract domains...
In the context of Cousot and Cousot's abstract interpretation theory, we present a general framework...
Completeness in abstract interpretation is an ideal and rare situation where the abstract semantics ...
Abstract. In the context of Cousot and Cousot's abstract interpreta-tion theory, we present a g...
In static analysis, approximation is typically encoded by abstract domains, providing systematic gui...
Completeness is an ideal, although uncommon, feature of abstract interpretations, formalizing the in...
In static analysis, approximation is typically encoded by abstract domains, providing systematic gui...
Predicate abstraction is an automatic technique that can be used to find abstract models of large o...
Abstract interpretation is very useful for program analysis, because it provides a (sound) over-appr...
Many algorithms have been proposed to minimally refine abstract transition systems in order to get s...
Completeness is a key feature of abstract interpretation. It corresponds to exactness of the abstrac...
Completeness is a desirable, although uncommon, property of abstract interpretations, formalizing th...
Completeness is a desirable, although uncommon, property of abstract interpretations, formalizing th...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
We study two notions of expressiveness, which have appeared in abstraction theory for model checking...