面向多尺度方法的近似匹配报告源代码

Michel Chilowicz, É. Duris, G. Roussel
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引用次数: 4

摘要

使用经典的精确子字符串或子树模式匹配技术,从基因组学应用中获得灵感,可以有效地处理源代码中的精确克隆。这些方法可以被明智地用作描绘新技术的基础,以突出重复的代码块,在更高的结构尺度上呈现较小的编辑或更广泛的修改。主要目标是提高对小的接近匹配的回忆,并将它们聚合成更大的匹配,以合理的复杂性提供更全面的相似性视图。这些关注点对于能够处理大型源代码项目数据库是必不可少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a multi-scale approach for source code approximate match report
Finding exact clones in source code can be efficiently handled using classical exact substring or subtree pattern matching techniques inspired from genomics applications. These methods may be wisely employed as a foundation to sketch new techniques highlighting duplicated code chunks presenting minor edits or more extensive modifications at a higher structural scale. The main goal is to improve recall of small near matches and to aggregate them into larger ones to provide a more global view of similarities with a reasonable complexity. These concerns are essential to be able to address a large database of source code projects.
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