A Military Software Reliability Prediction Model Based on Optimized SVR Algorithm

In order to avoid military software being put into the army, the problem of frequently occurred failure during the use of military software, which resulted in the loss of training and wartime. We should do well the reliability prediction before military software is used in a large number of troops. Therefore, a military software reliability prediction method based on SVR algorithm is proposed. This paper firstly collects the metrics and preprocesses the metrics; Secondly, by introducing the concept of correlation, it extracts the metrics that have the higher degree of correlation to software reliability index; Thirdly, the parameters in SVR are optimized by grid search method; Finally, through case analysis, it is proved that the military software reliability prediction method based on the optimized SVR algorithm can indeed improve the prediction accuracy of software reliability.

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