Dynamic Partitioning in Linear Relation Analysis: Application to the Verification of Synchronous Programs

Bertrand Jeannet

December 2000


Linear relation analysis is an abstract interpretation technique that computes linear constraints satisfied by the numerical variables of a program. We apply it to the verification of declarative synchronous programs. In this approach, state partitioning plays an important role: on one hand the precision of the results highly depends on the fineness of the partitioning; on the other hand, a too much detailed partitioning may result in an exponential explosion of the analysis. In this paper we propose to consider very general partitions of the state space and to dynamically select a suitable partitioning according to the property to be proved. The presented approach is quite general and can be applied to other abstract interpretations

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