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On the interaction between sharing and linearity

机译:论共享与线性之间的相互作用

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In the analysis of logic programs, abstract domains for detecting sharing and linearity information are widely used. Devising abstract unification algorithms for such domains has proved to be rather hard. At the moment, the available algorithms are correct but not optimal; i.e., they cannot fully exploit the information conveyed by the abstract domains. In this paper, we define a new (infinite) domain ShLin which can be thought of as a general framework from which other domains can be easily derived by abstraction. ShLin"' makes the interaction between sharing and linearity explicit. We provide a constructive characterization of the optimal abstract unification operator on ShLin, and we lift it to two well-known abstractions of ShLin, namely, to the classical Sharing × Lin abstract domain and to the more precise ShLin~2 abstract domain by Andy King. In the case of single-binding substitutions, we obtain optimal abstract unification algorithms for such domains.
机译:在逻辑程序的分析中,用于检测共享和线性信息的抽象域被广泛使用。事实证明,为此类领域设计抽象统一算法非常困难。目前,可用的算法是正确的,但不是最佳算法。即,他们不能完全利用抽象域传达的信息。在本文中,我们定义了一个新的(无限)域ShLin,可以将其视为一个通用框架,从中可以轻松地抽象提取其他域。 ShLin”明确了共享和线性之间的相互作用。我们对ShLin上的最佳抽象统一算子进行了结构化表征,并将其提升到ShLin的两个著名抽象,即经典的Sharing×Lin抽象域和到Andy King所定义的更精确的ShLin〜2抽象域中,在单绑定替换的情况下,我们获得了针对此类域的最佳抽象统一算法。

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