Software Reliability Integrated Evaluation Model Based on Bayesian Estimation
Ning Ru-yun · Acta Armamentarii · 2008
Quantitative evaluation and prediction of software reliability are the important parts of software reliability engineering.Support vector machine regression was applied to build up a software reliability prediction model based on the metrics of software quality,and the creditability theory based on Bayesian estimation was introduced into the field.By this means,the prediction result of software reliability model based on the metrics of software quality and the evaluation result of software reliability growth model based on failure data were combined rationally via the credibility factor so that the extensive information about software reliability was utilized to obtain a more reasonable evaluation result of software reliability.According to variance disassemble and optimal linear non-homogeneous credibility estimator,the mathematic expression of this software reliability integrated evaluation model based on Bayesian estimation was described in detail,and the obtaining method of credibility factor was illustrated by the practical example.The simulation experiment indicates that the model possesses reasonableness and feasibility.