Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder
Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder
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DOI：
10.1109/icse.2007.97
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发表时间：
2007-05
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影响因子：
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通讯作者：
Simone Livieri;Yoshiki Higo;M. Matsushita;Katsuro Inoue
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文献类型：
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作者：
Simone Livieri;Yoshiki Higo;M. Matsushita;Katsuro Inoue
计算机硬件的性能价格比例不断提高，可以在代码克隆分析中探索分布式方法。本文介绍了D-CCFINDER，这是大规模代码克隆分析的分布式方法。 D-CCFINDER已在我们的学生实验室中使用80个PC工作站实施，并且在大约2天内总共分析了大量约4亿行的开源软件。结果已被视为一个散点图，该图显示了常用代码的存在是简单的可识别模式。同样，D-CCFinder已用于针对整个集合分析单个软件系统，以探索从开源软件导入的代码的存在。
The increasing performance-price ratio of computer hardware makes possible to explore a distributed approach at code clone analysis. This paper presents D-CCFinder, a distributed approach at large-scale code clone analysis. D-CCFinder has been implemented with 80 PC workstations in our student laboratory, and a vast collection of open source software with about 400 million lines in total has been analyzed with it in about 2 days. The result has been visualized as a scatter plot, which showed the presence of frequently used code as easy recognizable patterns. Also, D-CCFinder has been used to analyze a single software system against the whole collection in order to explore the presence of code imported from open source software.