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Parallel code clone detection using MapReduce

机译:使用MapReduce并行代码克隆检测

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摘要

Code clone detection is an established topic in software engineering research. Many detection algorithms have been proposed and refined but very few exploit the inherent parallelism present in the problem, making large scale code clone detection difficult. To alleviate this shortcoming, we present a new technique to efficiently perform clone detection using the popular MapReduce paradigm. Preliminary experimental results demonstrates speed-up and scale-up of the proposed approach.
机译:代码克隆检测是软件工程研究中的既定主题。已经提出了许多检测算法并精制,但很少利用问题中存在的固有并行性,使得大规模代码克隆检测困难。为了缓解这种缺点,我们提出了一种新技术,可以使用流行的MapReduce范式有效地进行克隆检测。初步实验结果表明了所提出的方法的加速和扩大。

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