Arnaud Jobin

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We propose a static analysis for computing polynomial in-variants for imperative programs. The analysis is derived from an abstract interpretation of a backwards semantics, and computes preconditions for equalities like g = 0 to hold at the end of execution. A distinguishing feature of the technique is that it computes polynomial loop invariants without(More)
We present a static analysis technique for modeling and approximating the long-run resource usage of programs. The approach is based on a quantitative semantic framework where programs are represented as linear operators over dioids. We show how to extract the long-run cost of a program from the matrix representation of its semantics. An essential(More)
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