AbstractAnalysis of convex polyhedra using abstract interpretation is a common and powerful program analysis technique to discover linear relationships among variables in a program. However, the classical way of performing polyhedral analysis does not model the fact that values typically are stored as fixed-size binary strings and usually have a wrap-around semantics in the case of overflows. In embedded systems where 16-bit or even 8-bit processors are used, wrapping behaviour may even be used intentionally. Thus, to accurately and correctly analyse such systems, the wrapping has to be modelled.We present an approach to polyhedral analysis which derives polyhedra that are bounded in all dimensions and thus provides polyhedra that contain a...
Le modèle polyédrique est un formalisme utilisé en optimisation automatique de programmes. Il permet...
Many static analysis problems involve solving mathematical data-flow equations over numerical abstr...
AbstractSets of linear inequalities are an expressive reasoning tool for approximating the reachable...
AbstractAnalysis of convex polyhedra using abstract interpretation is a common and powerful program ...
interpretation. Polyhedral analysis is effective when the relationships be-tween variables are linea...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
International audienceConvex polyhedra are commonly used in the static analysis of programs to repre...
Many program analysis techniques are based on manipulations of sets of integers bounded by linear co...
In the context of static analysis via abstract interpretation, convex polyhedra constitute the most ...
Convex polyhedra are the basis for several abstractions used in static analysis and computer-aided v...
The abstract domain of polyhedra lies at the heart of many program analysis techniques. However, its...
AbstractIn the context of static analysis via abstract interpretation, convex polyhedra constitute t...
The polyhedral model has been successfully used in production compilers. Nevertheless, only a very r...
AbstractIn static analysis by abstract interpretation, one often uses widening operators in order to...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
Le modèle polyédrique est un formalisme utilisé en optimisation automatique de programmes. Il permet...
Many static analysis problems involve solving mathematical data-flow equations over numerical abstr...
AbstractSets of linear inequalities are an expressive reasoning tool for approximating the reachable...
AbstractAnalysis of convex polyhedra using abstract interpretation is a common and powerful program ...
interpretation. Polyhedral analysis is effective when the relationships be-tween variables are linea...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
International audienceConvex polyhedra are commonly used in the static analysis of programs to repre...
Many program analysis techniques are based on manipulations of sets of integers bounded by linear co...
In the context of static analysis via abstract interpretation, convex polyhedra constitute the most ...
Convex polyhedra are the basis for several abstractions used in static analysis and computer-aided v...
The abstract domain of polyhedra lies at the heart of many program analysis techniques. However, its...
AbstractIn the context of static analysis via abstract interpretation, convex polyhedra constitute t...
The polyhedral model has been successfully used in production compilers. Nevertheless, only a very r...
AbstractIn static analysis by abstract interpretation, one often uses widening operators in order to...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
Le modèle polyédrique est un formalisme utilisé en optimisation automatique de programmes. Il permet...
Many static analysis problems involve solving mathematical data-flow equations over numerical abstr...
AbstractSets of linear inequalities are an expressive reasoning tool for approximating the reachable...