现有的分层抽样算法中故障率数据不准确是导致测试性验证试验结果不可信的一个原因。
Inaccuracies in the present proportionate stratified sampling algorithm based on fuzzy failure rate data is one main cause which makes the testability demonstration results untrustworthy.
分析了现有测试性验证方法应用情况，阐述了测试性研制阶段数据评估验证方法的必要性。
The application of existing testability verification methods is analyzed, and the necessity of a testability verification method based on data evaluation in development phase is described.
传统的测试性验证试验样本选取方法没有考虑测试对象的各故障模式之间的复杂性与不确定性关系。
The complex and uncertain relationship among failures is ignored in failure sample selection based on traditional testability demonstration experiment method.
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