Overall Objectives
Research Program
New Software and Platforms
New Results
Partnerships and Cooperations
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Section: New Results

Fast inference of polynomial invariants

Participants : David Cachera, Thomas Jensen.

We have developed our static analysis techniques for computing polynomial invariants for imperative programs. The analysis is derived from an abstract interpretation of a backwards semantics, and computes preconditions for equalities of the form g = 0 to hold at the end of execution. A distinguishing feature of the technique is that it computes polynomial loop invariants without resorting to Gröbner base computations. The analysis uses remainder computations over parameterized polynomials in order to handle conditionals and loops efficiently. The algorithm can analyze and find a large majority of loop invariants reported previously in the literature, and executes significantly faster than implementations using Gröbner bases [15] .