Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Measurement Model of The Software Maintainability Based on Comentropy

Authors
Jia Wang, Yinchun Gao, Yijie Liao, Rong Jiang
Corresponding Author
Jia Wang
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.30How to use a DOI?
Keywords
Comentropy; Maintainability; Level Analysis; Entropy-Weight Value
Abstract
A lot of uncertain information is usually involved in the process of software system maintenance, and such information is difficult to perform quantitative analysis normally. In order to effectively solve the problem, this paper puts forward a measurement model of the software maintainability based on comentropy. A quantitative analysis algorithm about the comentropy has been introduced, then it builds up a quantitative model of predicting the software maintainability combining with qualitative analysis and calculation. In addition, the quantitative analysis algorithm model is confirmed by practical samples. The emulational result demonstrates that the method is an effective quantifiable analysis algorithm, and it can predict the maintainability of software system more accurately. Therefore this paper offers a new idea for quantifiable analysis in the prediction of maintainability of software system.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.30How 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  - Jia Wang
AU  - Yinchun Gao
AU  - Yijie Liao
AU  - Rong Jiang
PY  - 2016/10
DA  - 2016/10
TI  - Measurement Model of The Software Maintainability Based on Comentropy
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 232
EP  - 238
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.30
DO  - https://doi.org/10.2991/ceie-16.2017.30
ID  - Wang2016/10
ER  -