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Code extraction algorithms which unify slicing and concept assignment

机译:统一切片和概念分配的代码提取算法

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摘要

One approach to reverse engineering is to partially automate subcomponent extraction, improvement and subsequent recombination. Two previously proposed automated techniques for supporting this activity are slicing and concept assignment. However, neither is directly applicable in isolation; slicing criteria (sets of program variables) are simply too low level in many cases, while concept assignment typically fails to produce executable subcomponents. This paper introduces a unification of slicing and concept assignment which exploits their combined advantages, while overcoming their individual weaknesses. Our 'concept slices' are extracted using high level criteria, while producing executable subprograms. The paper introduces three ways of combining slicing, and concept assignment and algorithms for each. The application of the concept slicing algorithms is illustrated with a case study from a large financial organisation.
机译:逆向工程的一种方法是部分自动化子成分的提取,改进和后续重组。支持此活动的两种先前提出的自动化技术是切片和概念分配。但是,两者都不能单独直接应用;在许多情况下,切片标准(程序变量集)太低了,而概念分配通常无法产生可执行的子组件。本文介绍了切片和概念分配的统一,它利用了它们的组合优势,同时克服了它们各自的弱点。我们的“概念片”是使用高级标准提取的,同时生成了可执行的子程序。本文介绍了结合切片的三种方法,以及每种方法的概念分配和算法。大型金融机构的案例研究说明了概念切片算法的应用。

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