利用近似子图匹配增强程序依赖图克隆检测

C. M. Kamalpriya, Paramvir Singh
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引用次数: 16

摘要

软件代码克隆检测技术和工具在提高软件质量以及节省维护成本和工作量方面起着重要作用。基于程序依赖图(Program Dependency Graph, PDG)的克隆检测技术比其他技术有一个关键优势,因为除了连续的代码克隆之外,它们还能够检测非连续的代码克隆。我们建议进一步改进目前基于pdg的检测方法,使用近似子图匹配(ASM)从获得的克隆对(基于pdg的)结果中识别所有可能的(精确和近似)克隆关系。我们在三个主题软件系统上获得了我们提出的技术的克隆结果,并通过Bellon的基准测试在eclipse-ant上验证了结果。我们还提出了一种新的基于asm的距离度量来表示软件代码克隆之间的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing program dependency graph based clone detection using approximate subgraph matching
Software code clone detection techniques and tools play a major role in improving the software quality as well as saving maintenance cost and effort. Program Dependency Graph (PDG) based clone detection techniques have a key advantage over other techniques as they are capable of detecting non-contiguous code clones in addition to contiguous clones. We propose further enhancement to current state of the art PDG-based detection to identify all possible (exact and approximate) clone relations from the obtained clone pair (PDG-based) results using Approximate Subgraph Matching (ASM). We obtain clone results of our proposed technique on three subject software systems, and validate the results on eclipse-ant from Bellon’s benchmark. We also present a new ASM-based distance measure to represent the similarity between software code clones.
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