Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

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

Authors
Lili Yin, Liping Zhang, Min Hou, Dongsheng Liu
Corresponding Author
Lili Yin
Available Online January 2014.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.32How to use a DOI?
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  -