Proceedings of the 2012 National Conference on Information Technology and Computer Science

A Data Mining Method on Software System Layer

Authors
Yonghui Liu, Yanhui Wang, Yinan Hu
Corresponding Author
Yonghui Liu
Available Online November 2012.
DOI
10.2991/citcs.2012.82How to use a DOI?
Keywords
data mining; software system layer; clustering
Abstract

This paper puts forward a data mining method on software system layer which is based on researches on clustering data mining. At first, this method gathers all kinds of software data. Then it extracts characters from them to mark softwares on Halstead software science. Thirdly, it classifies the softwares in different categories. For the softwares in the same category, it regards them as the same software cost or the similar software structure. For the softwares in the different category, it finds the essential different factors among them. At last, we show 5414 experiment results in software system data mining. So we can conclude that this method is feasible and effective.

Copyright
© 2012, 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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Volume Title
Proceedings of the 2012 National Conference on Information Technology and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
10.2991/citcs.2012.82How to use a DOI?
Copyright
© 2012, 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/).

Cite this article

TY  - CONF
AU  - Yonghui Liu
AU  - Yanhui Wang
AU  - Yinan Hu
PY  - 2012/11
DA  - 2012/11
TI  - A Data Mining Method on Software System Layer
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 311
EP  - 314
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.82
DO  - 10.2991/citcs.2012.82
ID  - Liu2012/11
ER  -