The classical theoretical framework for static analysis of programs is abstract interpretation. Much of the power and elegance of that framework rests on the assumption that an abstract domain is a lattice. Nonetheless, and for good reason, the literature on program analysis provides many examples of non-lattice domains, including non-convex numeric domains. The lack of domain structure, however, has negative consequences, both for the precision of program analysis and for the termination of standard Kleene iteration. In this paper we explore these consequences and present general remedies
Abstract. This paper presents a new numerical abstract domain for static analysis by abstract interp...
We trace the roots of abstract interpretation and its role as a foundational principle to understand...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
This thesis describes an implementation of abstract interpretation and its application to strictness...
he central idea of the technique of Abstract Interpretation is that the analysis of a program consis...
Abstract interpretation is a systematic methodology to design static program analysis which has been...
Static program analyses are a set of useful techniques that allows to infer properties on programs f...
Abstract interpretation [5] provides a theory for static analysis of programs, where sets of reachab...
Abstract interpretation is very useful for program analysis, because it provides a (sound) over-appr...
International audienceThe aim of static analysis is to infer invariants about programs that are tigh...
Linear refinement is a technique for systematically constructing abstract domains for program analys...
International audienceThis paper presents a new numerical abstract domain for static analysis by abs...
AbstractNumerical static program analyses by abstract interpretation, e.g., the problem of inferring...
The fundamental idea of Abstract2 Interpretation (A2I), also called meta-abstract interpretation, is...
The technique of abstract interpretation analyzes a computer program to infer various properties abo...
Abstract. This paper presents a new numerical abstract domain for static analysis by abstract interp...
We trace the roots of abstract interpretation and its role as a foundational principle to understand...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...
This thesis describes an implementation of abstract interpretation and its application to strictness...
he central idea of the technique of Abstract Interpretation is that the analysis of a program consis...
Abstract interpretation is a systematic methodology to design static program analysis which has been...
Static program analyses are a set of useful techniques that allows to infer properties on programs f...
Abstract interpretation [5] provides a theory for static analysis of programs, where sets of reachab...
Abstract interpretation is very useful for program analysis, because it provides a (sound) over-appr...
International audienceThe aim of static analysis is to infer invariants about programs that are tigh...
Linear refinement is a technique for systematically constructing abstract domains for program analys...
International audienceThis paper presents a new numerical abstract domain for static analysis by abs...
AbstractNumerical static program analyses by abstract interpretation, e.g., the problem of inferring...
The fundamental idea of Abstract2 Interpretation (A2I), also called meta-abstract interpretation, is...
The technique of abstract interpretation analyzes a computer program to infer various properties abo...
Abstract. This paper presents a new numerical abstract domain for static analysis by abstract interp...
We trace the roots of abstract interpretation and its role as a foundational principle to understand...
The concept of abstract interpretation has been introduced by Patrick and Radhia Cousot in 1977, in ...