Research on software defect predict model based on JCUDA_BP algorithm
Authors
Shan Chun, Lei Dong, Changzhen Hu, Liang Zhang, Jingfeng Xue
Corresponding Author
Shan Chun
Available Online April 2015.
- 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/).
Cite this article
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 -