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A correct, precise and efficient integration of set-sharing, freeness and linearity for the analysis of finite and rational tree languages

机译:集合共享,自由度和线性度的正确,精确和高效的集成,用于有限和有理树语言的分析

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It is well known that freeness and linearity information positively interact with aliasing information, allowing both the precision and the efficiency of the sharing analysis of logic programs to be improved. In this paper, we present a novel combination of set-sharing with freeness and linearity information, which is characterized by an improved abstract unification operator. We provide a new abstraction function and prove the correctness of the analysis for both the finite tree and the rational tree cases. Moreover, we show that the same notion of redundant information as identified in Bagnara et al. (2000) and Zaffanella et al. (2002) also applies to this abstract domain combination: this allows for the implementation of an abstract unification operator running in polynomial time and achieving the same precision on all the considered observable properties.
机译:众所周知,自由度和线性信息与混叠信息确实相互作用,从而可以提高逻辑程序共享分析的精度和效率。在本文中,我们提出了集共享与自由度和线性信息的一种新颖组合,其特征在于改进的抽象统一算子。我们提供了一个新的抽象函数,并证明了有限树和有理树情况下分析的正确性。此外,我们证明了与Bagnara等人所确定的冗余信息相同的概念。 (2000)和Zaffanella等。 (2002年)也适用于这种抽象域组合:这允许实现在多项式时间内运行的抽象统一运算符,并在所有考虑的可观察属性上实现相同的精度。

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