Abstract
Abstract The Gaussian new distribution is extended from the normal distribution. Its main function is to fully fit the objectively existing asymmetric Gaussian distribution, and accurately express the frequency distribution of the random variable with the expected value in the single peak. Error and probability distribution under conditions. The proposed software reliability growth model based on Gaussian new distribution helps people to analyze the error errors generated in the software process, and reduces the uncertainty caused by human subjective factors in the software process.
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