软件可靠性预测的小波分析方法

A Wavelets Analysis Approach to Software Reliability Forecasting

软件可靠性预测对于软件可靠性评估以及软件工程项目的过程控制具有重要作用。本文提出的软件可靠性预测模型,通过小波分解将非平稳的软件可靠性随机序列分解成趋势项、周期项和一系列时间调制平稳随机序列,对趋势项和周期项按常规的预测方法进行预测,而时间调制平稳随机序列再用小波方法预测,最后合成得到软件可靠性预测。实例分析表明,本方法是可行的。

Software reliability forecasting is very important for improving and controlling a software engineering process. This paper presents a wavelet analysis based on forecasting model for software reliability. By the model, the time series of software faults can be decomposed into trend term, periodic term and time-modulated stationary processes, and then forecast them separately. The experience shows that the wavelet analysis approach to software reliability forecasting is feasible.