Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Research on the Quality Comprehensive Evaluation of Computer Software Based on Grey Clustering Method

Authors
Jimin Gao
Corresponding Author
Jimin Gao
Available Online September 2016.
DOI
10.2991/icence-16.2016.97How to use a DOI?
Keywords
Computer software, Software quality, Grey clustering
Abstract

With the development of information technology, there are an increasingly demands for high-quality software. the software has been applied in various fields of national economy, and the software quality has been emphasized more and more. How to improve the quality of software products has emerged as an important part of the development of the software industry, which receives the industry's attention. Based on the grey system theory, this paper established the grey clustering comprehensive evaluation model of the computer software quality, which can provide a really effective method for quantitative evaluation of software quality.

Copyright
© 2016, 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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/icence-16.2016.97
ISSN
2352-538X
DOI
10.2991/icence-16.2016.97How to use a DOI?
Copyright
© 2016, 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  - Jimin Gao
PY  - 2016/09
DA  - 2016/09
TI  - Research on the Quality Comprehensive Evaluation of Computer Software Based on Grey Clustering Method
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 510
EP  - 514
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.97
DO  - 10.2991/icence-16.2016.97
ID  - Gao2016/09
ER  -