Research on software defect predict model based on JCUDA_BP algorithm

DOI

10.2991/ameii-15.2015.114How to use a DOI?

Keywords

security; defect predict; JCUDA_BP algorithm

Abstract

For the long time computation and the poor learning effect in application of BP algorithm in software defect predict model, an improved BP algorithm is presented in this paper. The improved algorithm combines the JCUDA technology and the BP algorithm, by learning the sample decomposition, multithreading and CPU-GPU processing mode, both learning speed and predicting time are optimized for the software defect predict model based on BP algorithm. The experimental results show that the improved JCUDA_BP algorithm optimizes the learning process, especially for the larger samples. Also, when the hidden node number reaches a certain number, the effect of the optimized algorithm is much better than the traditional BP algorithm.

Copyright

© 2015, 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  - Shan Chun
AU  - Lei Dong
AU  - Changzhen Hu
AU  - Liang Zhang
AU  - Jingfeng Xue
PY  - 2015/04
DA  - 2015/04
TI  - Research on software defect predict model based on JCUDA_BP algorithm
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 615
EP  - 622
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.114
DO  - 10.2991/ameii-15.2015.114
ID  - Chun2015/04
ER  -