The Prediction of Code Clone Quality Based on Bayesian Network

Dongrui Liu; Dongsheng Liu; Liping Zhang; Min Hou; Chunhui Wang

The Prediction of Code Clone Quality Based on Bayesian Network

원문정보

Dongrui Liu, Dongsheng Liu, Liping Zhang, Min Hou, Chunhui Wang

보안공학연구지원센터(IJSEIA) International Journal of Software Engineering and Its Applications Vol.10 No.4 2016.04 pp.47-56 SCOPUS

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초록

영어

This paper researched on the quality of code clone in the software, evaluated the code clone quality of the current versions. Then using Bayesian network to train the existing sample data to get the prediction model of code clone that is able to predict the quality. The prediction results are able to help developers decide which code clone should be reconstructed or efficiently reused. The experiment shows that the method can be used to predict the quality of code clone in software more accurately.

Abstract
1. Introduction
2. Related Technology
  2.1. Clone Reconstruction
  2.2. The Quality Evaluation of Code Clone
  2.3. Bayesian Network
3. Prediction of Code Clone Quality
  3.1. Evaluation Method for Code Clone
  3.2. Prediction of Code Clone
  3.3. Evaluate the Prediction Model
4. The Experimental Results and Analysis
5. Summary
References

키워드

저자정보

Dongrui Liu Inner Mongolia Normal University Hohhot, Inner Mongolia, China
Dongsheng Liu Inner Mongolia Normal University Hohhot, Inner Mongolia, China
Liping Zhang Inner Mongolia Normal University Hohhot, Inner Mongolia, China
Min Hou Inner Mongolia Normal University Hohhot, Inner Mongolia, China
Chunhui Wang Inner Mongolia Normal University Hohhot, Inner Mongolia, China

참고문헌

자료제공 : 네이버학술정보

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