代码克隆检测集成推理引擎

N. Bynagari
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引用次数: 17

摘要

本文试图探索代码克隆检测的集成推理的本质,以及如何有效地执行它,考虑到通常与此类活动相关的分析量。代码检测需要非常熟悉克隆系统及其工作原理。因此,发现经常被视为代码模仿(克隆)的类似代码段并不是一件容易的事。更具体地说,这种检测过程可能在易感性发现、重构和模仿检测的上下文中具有关键目的。通过本文旨在向您展示的发现之旅,您将认识到,相同的代码段(通常被描述为代码克隆)似乎是一项严肃的任务,特别是对于大型代码库。这种检测以某些方法和深奥的技术而闻名。尽管如此,从构成本文基础的大量资源中,人们将发现在处理此类棘手问题时采用的最简单公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Reasoning Engine for Code Clone Detection
This article seeks to foray into the nitty-gritty of integrated reasoning for code clone detection and how it is effectively carried out, given the amount of analytics usually associated with such activities. Detection of codes requires high-pitch familiarity with cloning systems and their workings. Hence, discovering similar code segments that are often regarded and seen as code imitations (clone) is not an easy responsibility. More especially, this very detection process might possess key purposes in the context of susceptibility findings, refactoring, and imitation detecting. Through the voyage of discovery this article intends to expose you to, you will realize that identical code segments, more often than not described as code clones, appear to be a serious duty, especially for large code bases <1; 2; 3; 4>. There are certain approaches and deep technicalities that this sort of detection is known for. Still, from the avalanche of resources that formed the bedrock of this article, one would discover the easiest formula to adopt in maneuvering such strenuous issues.
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