Application of Data Mining Technology in Software Engineering

DOI

10.2991/msmee-17.2017.35How to use a DOI?

Keywords

Software Engineering, Data Mining, Application Research

Abstract

Data mining represents a change from validation-driven data analysis to discovery-driven data analysis. In the verification-driven approach, the decision maker must assume the presence of important information, collect information and use it to substantiate such assumptions. Due to the size and complexity of today's data storage, this approach does not effectively explore the available data in an organization, and the discovery method can filter out large amounts of data and automatically or semi-automatically discover hidden information. The information collected in data mining is designed to cater to the needs of software organizations that have their own products and processes to improve their goals. So you might use different software metrics when collecting data.

Copyright

© 2017, 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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TY  - CONF
AU  - Jie Ma
PY  - 2017/05
DA  - 2017/05
TI  - Application of Data Mining Technology in Software Engineering
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 169
EP  - 172
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.35
DO  - 10.2991/msmee-17.2017.35
ID  - Ma2017/05
ER  -