The Prediction of Code Clone Quality Based on Bayesian Network
Dongrui Liu, Dongsheng Liu, Liping Zhang, Min Hou, Chunhui Wang · International Journal of Software Engineering and Its Applications · 2016
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.