AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer-aided verification of complex and sometimes mission-critical systems. For such applications, the identification of an appropriate complexity–precision trade-off is a particularly acute problem, so that the availability of a wide spectrum of alternative solutions is mandatory. We survey the range of applications of polyhedral computations in this area; give an overview of the different classes of polyhedra that may be adopted; outline the main polyhedral operations required by automatic analyzers and verifiers; and look at some possible combinations of polyhedra with other numerical abstractions that have the potential to improve the precisio...
Cette thèse présente la nouvelle implémentation de la Verified Polyhedra Library (VPL), une biblioth...
The work reported in this thesis revisits in two waysthe abstract domain of polyhedraused for static...
International audienceStatic analysers are becoming so complex that it is crucial to ascertain the s...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
Convex polyhedra are the basis for several abstractions used in static analysis and computer-aided v...
AbstractSince its inception as a student project in 2001, initially just for the handling (as the na...
Since its inception as a student project in 2001, initially just for the handling (as the name impli...
Since its inception as a student project in 2001, initially just for the handling (as the name impli...
Polyhedra form an established abstract domain for inferring runtime properties of programs using abs...
International audienceConvex polyhedra are commonly used in the static analysis of programs to repre...
Polyhedra form an established abstract domain for inferring runtime properties of programs using abs...
This thesis presents the design and implementation of the Verified Polyhedra Library (VPL), a scalab...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
AbstractAnalysis of convex polyhedra using abstract interpretation is a common and powerful program ...
Convex polyhedra provide a relational abstraction of numerical properties for static analysis of pro...
Cette thèse présente la nouvelle implémentation de la Verified Polyhedra Library (VPL), une biblioth...
The work reported in this thesis revisits in two waysthe abstract domain of polyhedraused for static...
International audienceStatic analysers are becoming so complex that it is crucial to ascertain the s...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
Convex polyhedra are the basis for several abstractions used in static analysis and computer-aided v...
AbstractSince its inception as a student project in 2001, initially just for the handling (as the na...
Since its inception as a student project in 2001, initially just for the handling (as the name impli...
Since its inception as a student project in 2001, initially just for the handling (as the name impli...
Polyhedra form an established abstract domain for inferring runtime properties of programs using abs...
International audienceConvex polyhedra are commonly used in the static analysis of programs to repre...
Polyhedra form an established abstract domain for inferring runtime properties of programs using abs...
This thesis presents the design and implementation of the Verified Polyhedra Library (VPL), a scalab...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
AbstractAnalysis of convex polyhedra using abstract interpretation is a common and powerful program ...
Convex polyhedra provide a relational abstraction of numerical properties for static analysis of pro...
Cette thèse présente la nouvelle implémentation de la Verified Polyhedra Library (VPL), une biblioth...
The work reported in this thesis revisits in two waysthe abstract domain of polyhedraused for static...
International audienceStatic analysers are becoming so complex that it is crucial to ascertain the s...