Abstract: In view of the fact that the existing testability demonstration tests usually require a large fault sample size, a new method for determining the test scheme based on development information is proposed in this paper. Firstly, after analyzing the classical test model based on binomial distribution, a basic probability assignment is established by using a variety of development information, which includes testability test data, testability prediction result and expert experience. The proposed method is studied for determining a demonstration test scheme by applying the evidence theory, and the existence of the optimal test scheme is conformed. At the same time, a method is given to determine the test scheme. Finally, an example is provided to validate the new method. The result shows that this method can make full use of the testability development information and ensure good validation effect. Compared to traditional test scheme, this method can reduce the size of test fault samples and risk level with the sample size unchanged.

Key words: testability demonstration test, scheme, distribution functions, evidence theory, fault sample size