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A Survey on the Evaluation of Clone Detection Performance and Benchmarking
arXiv - CS - Software Engineering Pub Date : 2020-06-28 , DOI: arxiv-2006.15682
Jeffrey Svajlenko and Chanchal K. Roy

There are a great many clone detection tools proposed in the literature. In this paper, we investigate the state of clone detection tool evaluation. We begin by surveying the clone detection benchmarks, and performing a multi-faceted evaluation and comparison of their features and capabilities. We then survey the existing clone detection tool and technique publications, and evaluate how the authors of these works evaluate their own tools/techniques. We rank the individual works by how well they measure recall, precision, execution time and scalability. We select the works the best evaluate all four metrics as exemplars that should be considered by future researchers publishing clone detection tools/techniques when designing the empirical evaluation of their tool/technique. We measure statistics on tool evaluation by the authors, and find that evaluation is poor amongst the authors. We finish our investigation into clone detection evaluation by surveying the existing tool comparison studies, including both the qualitative and quantitative studies.

中文翻译:

克隆检测性能和基准评估的调查

文献中提出了很多克隆检测工具。在本文中,我们调查了克隆检测工具评估的状态。我们首先调查克隆检测基准,并对它们的特性和功能进行多方面的评估和比较。然后我们调查现有的克隆检测工具和技术出版物,并评估这些作品的作者如何评估他们自己的工具/技术。我们根据他们衡量召回率、精确度、执行时间和可扩展性的程度对个人作品进行排名。我们选择最能评估所有四个指标的作品作为未来研究人员在设计其工具/技术的实证评估时发布克隆检测工具/技术时应考虑的范例。我们测量作者对工具评估的统计数据,并发现作者之间的评价很差。我们通过调查现有的工具比较研究(包括定性和定量研究)来完成对克隆检测评估的调查。
更新日期:2020-06-30
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