A Novel Approach for Predicting the Probability of Inconsistent Changes to Code Clones Based LDA

摘要

Inconsistent changes to code clones can create faults and, hence, lead to incorrect program behavior. Consequently, these clones increase the change effort when software is maintained. In order to improve software quality and to help programmers pre attention the hidden trouble of clone inconsistent changes. In this paper, Different from previous research, we predict the probability of inconsistent changes to clones based LDA. This paper expands the LDA (Latent Dirichlet Allocation) model application fields. The experiment on a large open source software system is presented. Experimental results show the feasibility of this technique.