Design Method for Truncated Values in Testability Test Plans Based on the Degree of Discreteness

In the current testing experiments of equipment, how to select truncation values has always been a blank in research. If the sample size is small, there will be significant differences in the evaluation results of multiple experiments. If the sample size is large, especially for complex large systems, the implementation cost of the project will be high and the cycle will be long. Therefore, in the design of the testing experiment plan, the differentiation range of evaluation results and the limitation of the testing budget cycle should be considered as important factors in the design of the experimental plan. Therefore, based on the existing design of testing test schemes based on binomial distribution and the analysis of dispersion, this paper conducts research on the truncated values of testing test schemes to solve the problems of large differences in some testing tests and uncontrolled scale and cost of some testing tests, providing a theoretical basis for the in-depth development of model testing tests.