Stochastic Model of Software Reliability Based on Exponential Smoothing Techniques
Software reliability models can provide quantitative measures for evaluating the reliability of software systems that are growing more important today. By analyzing the traditional double exponential model and C-32 exchange software system in detail, the auto-adapted double exponential smoothing model, which the smoothing coefficients can be adjusted in order to adapt the characters of time sequences, was established. Then a kind of dual stochastic model of software reliability based on exponential smoothing also was put forward,which builds the reliability model for software failures by constructing a compensatory stochastic process through exponential smoothing technique. After comparing the predictions from auto-adapted double exponential smoothing model and dual stochastic model based on exponential smoothing with the predictions from traditional exponential smoothing model, G-O model and factual data of software failure, it can be seen that the two improved model not only inherit the fine characters of exponential smoothing models but also has the ability of providing more accurate prediction.
software reliability reliability model exponential smoothing mode stochasticmodel
Suoping Li Huichao Wu
Institute of Operations & Cybernetics Lanzhou University of Technology Lanzhou 730050, P.R.China. School of Computer and Communication Lanzhou University of Technology Lanzhou 730050, P.R.China.
国际会议
2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)
上海
英文
1189-1194
2007-10-19（万方平台首次上网日期，不代表论文的发表时间）