Coupling policy iteration with semi-definite relaxation to compute accurate numerical invariants in static analysis

Computer Science – Logic in Computer Science

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32 pages, 9 figures, preliminary version appeared in ESOP (European Symposium On Programming) 2010; LMCS 8 (1:1) 2012

Scientific paper

10.2168/LMCS-8(1:01)2012

We introduce a new domain for finding precise numerical invariants of programs by abstract interpretation. This domain, which consists of level sets of non-linear functions, generalizes the domain of linear "templates" introduced by Manna, Sankaranarayanan, and Sipma. In the case of quadratic templates, we use Shor's semi-definite relaxation to derive computable yet precise abstractions of semantic functionals, and we show that the abstract fixpoint equation can be solved accurately by coupling policy iteration and semi-definite programming. We demonstrate the interest of our approach on a series of examples (filters, integration schemes) including a degenerate one (symplectic scheme).

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