Software Reliability Prediction Based on Discrete Wavelet Transform and Neural Network

Abstract

Effective prediction of the software reliability is one of the active pares of software engineering. This paper proposes a novel approach based on wavelet transform and neural network (NN). Using this approach, the time series of software faults can be decomposed into four components information, and then predict them by NN respectively. The experience… (More)

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Cite this paper

@article{Jin2009SoftwareRP, title={Software Reliability Prediction Based on Discrete Wavelet Transform and Neural Network}, author={Cong Jin and Shu-Wei Jin and Jun-Min Ye and Qing-Guo Zhang}, journal={2009 International Conference on Computational Intelligence and Software Engineering}, year={2009}, pages={1-4} }