抽象解释中的产品算子研究

Agostino Cortesi, G. Costantini, Pietro Ferrara
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引用次数: 31

摘要

解释(6)作为一种通用技术已被广泛应用于计算机程序语义的合理逼近。特别是,抽象域(表示数据)和语义(表示数据操作)近似于具体计算。在分析程序并试图证明其某些性质时,结果的质量取决于抽象域的选择。在分析的准确性和效率之间总是存在权衡。多年来,各种抽象领域得到了发展。抽象解释理论的一个有趣的特点是可以在同一分析中结合不同的领域。事实上,抽象解释框架提供了一些组成抽象领域的标准方法,确保了保证分析合理性所需的理论性质的保留。这些组合方法称为领域细化。在(12,14)中给出了抽象域细化的系统处理,其中一般细化被定义为给定具体域的抽象解释格上的下闭包算子。这些抽象域上的操作符提供了高级的工具来调整程序分析的准确性和成本。两个最著名的领域改进是析取补全(6、9、13、15、18)和约简积(6),但它们不是唯一的。约简积可以看作是简单笛卡尔积的最精确的细化。此外,在(6)中引入了减少基数功率。虽然其他领域的改进自引入以来已经得到了广泛的应用和探索,但自1979年以来,除了(16)之外,减少基数功率的进一步发展肯定较少。为了验证我们的断言,我们在Google Scholar中查找了一些领域改进的科学引用(在抽象解释上下文中)的数量。我们在图1中描述了这个搜索的结果。特别地,我们关注了笛卡尔积,化简积和化简基数幂。随着时间的推移,这三种情况的引用次数都在增加,但绝对数量却有很大的不同:只要考虑“笛卡尔积”的总引用次数是964次,而“基数幂”的总引用次数只有38次。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Product Operators in Abstract Interpretation
interpretation (6) has been widely applied as a general technique for the sound approximation of the semantics of computer programs. In particular, abstract domains (to represent data) and semantics (to represent data operations) approximate the concrete computation. When analyzing a program and trying to prove some property on it, the quality of the result is determined by the abstract domain choice. There is always a trade-off between accuracy and efficiency of the analysis. During the years, various abstract domains have been developed. An interesting feature of the abstract interpretation theory is the possibility to combine different domains in the same analysis. In fact, the abstract interpretation framework offers some standard ways to compose abstract domains, ensuring the preservation of the theoretical properties needed to guarantee the soundness of the analysis. These compositional methods are called domain refinements. A systematic treatment of abstract domain refinements has been given in (12, 14), where a generic refinement is defined to be a lower closure operator on the lattice of abstract interpretations of a given concrete domain. These kinds of operators on abstract domains provide high- level facilities to tune a program analysis in terms of accuracy and cost. Two of the most well-known domain refinements are the disjunctive completion (6, 9, 13, 15, 18) and the reduced product (6), but they are not the only ones. The reduced product can be seen as the most precise refinement of the simple Cartesian product. Moreover, the reduced cardinal power is introduced by (6). While the other domain refinements have been, since their introduction, widely used and explored, the reduced cardinal power has seen definitely less further developments since 1979, with the exception of (16). To verify our assertion, we looked for the number of scientific citations (in the abstract interpretation context) to some domain refinements in Google Scholar. We depicted the results of this search in Figure 1. In particular, we focused on the Cartesian product, the reduced product and the reduced cardinal power. Throughout the years, the number of citations increases in all three cases, but the absolute numbers are very different: just consider that the total citations of "Cartesian product" are 964, while the ones to "reduced cardinal power" are only 38.
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