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

DOI

10.2991/ccit-14.2014.32How to use a DOI?

Keywords

Predicting Probability, Inconsistent Changes, LDA

Abstract

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 118
EP  - 122
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.32
DO  - 10.2991/ccit-14.2014.32
ID  - Yin2014/01
ER  -