Research on Computer Software Engineering Project Automation Management based on Data Mining and Fuzzy Clustering

DOI

10.2991/icmeit-19.2019.118How to use a DOI?

Keywords

Data Mining and Fuzzy Clustering, Computer Software, Automation Management.

Abstract

The smooth implementation of automation management of computer software engineering projects has played an important role in promoting the faster development of computer software development and further promoting the development of computer software engineering. In the process of realizing automation management of project, data mining technology and method are introduced, and a computer aided quality function configuration model based on data mining is proposed. The data mining tool was developed, and the model for product user demand and process quality selection decomposition was established. At the same time, the data mining model of fuzzy clustering and grey theory algorithm was established, and related application examples were analyzed. At present, all methods of validity discrimination do not have absolute advantages, and all need to be adapted and selected for specific data sets.

Copyright

© 2019, 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/).

Download article (PDF)

TY  - CONF
AU  - Li Zhang
PY  - 2019/04
DA  - 2019/04
TI  - Research on Computer Software Engineering Project Automation Management based on Data Mining and Fuzzy Clustering
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 744
EP  - 748
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.118
DO  - 10.2991/icmeit-19.2019.118
ID  - Zhang2019/04
ER  -