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Aiming at the problem that the failure rate is the main influencing factor of failure sample allocation in testability verification test, which makes the rationality of failure sample allocation result insufficient in some cases, taking the failure detection rate as the verification index, a sample failure mode selection method considering severity is proposed. A method of fault mode severity ranking based on Fuzzy evidential reasoning is proposed. By sorting out the fault sample allocation strategies involved in relevant standards, aiming at the shortcomings of the current multi factor comprehensive weighted proportional allocation method, distinguish different situations according to the quantitative relationship between the type of fault mode and the number of verification samples, with the help of random sampling of preselected sample set, rounding strategy considering severity, and dynamic probability adjustment, It reasonably improves the unreasonable condition of sample distribution concentration when the failure rate subject allocation scheme selects the failure mode. Taking the testability verification test of a certain unit as an example, the feasibility and rationality of the proposed fault sample allocation method are verified.