Software Defect Prediction Model Research for Network and Cloud Software Development

DOI

10.2991/icmmcce-17.2017.131How to use a DOI?

Keywords

Oriented Network and Cloud Development; Software Defect Prediction; Multi Source Project; Naive Bayes Algorithm.

Abstract

With the process of software development and application basing on network and cloud, the change of software development requires new software defect prediction method for these kinds of software development, which can solve the problems of the traditional software defect prediction method based on target project, such as the same predict background and higher cost of defect tagging. A new software defect prediction method based on multi source data oriented network and cloud development process is proposed. This method selects the predictive candidates from multi-source projects which have similar characteristics as objective projects, and then guides the training data selection by the software modules, finishes the prediction based on Naive Bayesian algorithm. Finally through algorithm experiment this method is proved superior to the traditional WP prediction model.

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  - Yejuan Yang
PY  - 2017/09
DA  - 2017/09
TI  - Software Defect Prediction Model Research for Network and Cloud Software Development
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 717
EP  - 723
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.131
DO  - 10.2991/icmmcce-17.2017.131
ID  - Yang2017/09
ER  -