Scalable and incremental clone detection for evolving software

T. Nguyen, H. Nguyen, Jafar M. Al-Kofahi, N. Pham, T. Nguyen
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引用次数: 45

Abstract

Code clone management has been shown to have several benefits for software developers. When source code evolves, clone management requires a mechanism to efficiently and incrementally detect code clones in the new revision. This paper introduces an incremental clone detection tool, called ClemanX. Our tool represents code fragments as subtrees of Abstract Syntax Trees (ASTs), measures their similarity levels based on their characteristic vectors of structural features, and solves the task of incrementally detecting similar code as an incremental distance-based clustering problem. Our empirical evaluation on large-scale software projects shows the usefulness and good performance of ClemanX.
可扩展和增量克隆检测不断发展的软件
代码克隆管理已经被证明对软件开发人员有几个好处。当源代码发展时,克隆管理需要一种机制来有效地、增量地检测新版本中的代码克隆。本文介绍了一个增量克隆检测工具,称为ClemanX。该工具将代码片段表示为抽象语法树(ast)的子树,基于结构特征的特征向量度量它们的相似性水平,并将增量检测相似代码的任务解决为基于增量距离的聚类问题。我们对大型软件项目的实证评估显示了ClemanX的实用性和良好的性能。
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