A BP Neural Network Based Hybrid Model for Software Reliability Prediction

摘要：

To overcome the shortcomings of traditional software reliability models and adapt to the current software and its development process characterized by increasing complexity, this paper proposes a hybrid model with BP neural network model serving as a nonlinear hybrid system of several traditional models, to improve the prediction accuracy. Because of its input diversity, the model can be used universally. Experiment showed that this model not only retained the experience of traditional software reliability models, but also combined BP neural network good nonlinear mapping ability and good generalization.

关键词： To overcome the shortcomings of traditional software reliability models and adapt to the current software and its development process characterized by increasing complexity this paper proposes a hybrid model with BP neural network model serving as a nonl

作者: Qi Yu-dong Qu Ning Li Ying Xie Xiao-fang

作者单位: Naval Aeronautical and Astronautical University Yantai, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 511-514

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）