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A Policy Iteration Algorithm for Computing Fixed Points in Static Analysis of Programs

机译:用于计算程序静态分析中的固定点的策略迭代算法

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We present a new method for solving the fixed point equations that appear in the static analysis of programs by abstract interpretation. We introduce and analyze a policy iteration algorithm for monotone self-maps of complete lattices. We apply this algorithm to the particular case of lattices arising in the interval abstraction of values of variables. We demonstrate the improvements in terms of speed and precision over existing techniques based on Kleene iteration, including traditional widening/narrowing acceleration mecanisms.
机译:我们提出了一种解决了通过抽象解释来解决计划静态分析中的固定点方程的方法。我们介绍并分析完整格子的单调自我映射的政策迭代算法。我们将此算法应用于变量的值的间隔抽象中出现的特定情况。我们通过基于Kleene迭代的现有技术的速度和精度来证明了速度和精度的改进,包括传统的扩展/缩小加速猛体主义。

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