A Novel Approach for Predicting the Probability of Inconsistent Changes to Code Clones Based LDA
Lili Yin, Liping Zhang, Min Hou, Dongsheng Liu
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.32How to use a DOI?
- Predicting Probability, Inconsistent Changes, LDA
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lili Yin AU - Liping Zhang AU - Min Hou AU - Dongsheng Liu PY - 2014/01 DA - 2014/01 TI - A Novel Approach for Predicting the Probability of Inconsistent Changes to Code Clones Based LDA BT - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/ccit-14.2014.32 DO - https://doi.org/10.2991/ccit-14.2014.32 ID - Yin2014/01 ER -