Code clone detection using coarse and fine-grained hybrid approaches

Abdullah M. Sheneamer, J. Kalita
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引用次数: 21

Abstract

If two fragments of source code are identical to each other, they are called code clones. Code clones introduce difficulties in software maintenance and cause bug propagation. Coarse-grained clone detectors have higher precision than fine-grained, but fine-grained detectors have higher recall than coarse-grained. In this paper, we present a hybrid clone detection technique that first uses a coarse-grained technique to analyze clones effectively to improve precision. Subsequently, we use a fine-grained detector to obtain additional information about the clones and to improve recall. Our method detects Type-1 and Type-2 clones using hash values for blocks, and gapped code clones (Type-3) using block detection and subsequent comparison between them using Levenshtein distance and Cosine measures with varying thresholds.
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使用粗粒度和细粒度混合方法的代码克隆检测
如果两个源代码片段彼此相同,它们被称为代码克隆。代码克隆给软件维护带来困难,并导致bug传播。粗粒度克隆检测器比细粒度克隆检测器具有更高的精度,但细粒度克隆检测器具有比粗粒度克隆检测器更高的召回率。在本文中,我们提出了一种混合克隆检测技术,该技术首先使用粗粒度技术来有效地分析克隆以提高精度。随后,我们使用细粒度检测器来获取有关克隆的附加信息并提高召回率。我们的方法使用块的哈希值来检测Type-1和Type-2克隆,使用块检测来检测缺口代码克隆(Type-3),然后使用Levenshtein距离和余弦测量在不同阈值下对它们进行比较。
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