Software reliability estimation in grey system theory

It is necessary for the software system to work in an acceptable degree of reliability and quality. Stochastic modelling, queueing systems and network models, neural networks models, wavelet models, etc are some of interpretative methods to forecast the reliability of software system. But these approaches contain some limitations. It is still not immature for software reliability prediction. A scientific method to predict the software system reliability is presented in the paper. The grey forecasting method is effective in time series data analysis like software reliability in case of lacking information or bad data. We give the design of grey forecasting model for software system reliability. A practical experiment data is given with comparisons to demonstrate the validity of the forecast data and actual data of software reliability from one of software system development in a company to demonstrate the applicability of the proposed method above to forecast the software reliability data.