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Improvement of BigCloneBench Using Tree-Based Convolutional Neural Network

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2019, 15(1), pp.43-53
  • DOI : 10.29056/jsav.2019.06.05
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : June 1, 2019
  • Accepted : June 20, 2019
  • Published : June 30, 2019

Gunwoo Park 1 Sung-Moon Hong 1 Hyunha Kim 1 Doh, Kyung-Goo 1

1한양대학교

Candidate

ABSTRACT

BigCloneBench has recently been used for performance evaluation of code clone detection tool using machine learning. However, since BigCloneBench is not a benchmark that is optimized for machine learning, incorrect learning data can be created. In this paper, we have shown through experiments using machine learning that the set of Type-4 clone methods provided by BigCloneBench can additionally be found. Experimental results using Tree-Based Convolutional Neural Network show that our proposed method is effective in improving BigCloneBench’s dataset.

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