8 research outputs found

    A Transformational Approach for Generating Non-Linear Invariants

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    Computing invariants is the key issue in the analysis of infinite-state systems whether analysis means testing, verification or parameter synthesis. In particular, methods that allow to treat combinations of loops are of interest. We present a set of algorithms and methods that can be applied to characterize over-approximations of the set of reachable states of combinations of self-loops. We present two families of complementary techniques. The first one identifies a number of basic cases of pair of self-loops for which we provide an exact characterization of the reachable states. The second family of techniques is a set of rules based on static analysis that allow to reduce n self-loops (n 2) to n - 1 independent pairs of self-loops. The results of the analysis of the pairs of self-loops can then be combined to provide an over-approximation of the reachable states of the n self-loops. We illustrate our methods by synthesizing conditions under which the Biphase Mark protocol works proper..

    How climate and leadership can be used to create actionable knowledge during stages of mergers and acquisitions

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