Abstract
Based on grey model, harmonic analysis and time series analysis theory, the fault data sets obtained from software reliability testing phase were analyzed, and then a combined forecasting model for software reliability was proposed. Referring to practical data, the realization method was presented. The experimental result indicates that the combined model has higher precision of prediction and better adaptability, compared with other single time series prediction models.
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