Spacecraft test case adaptive generation method based on domain knowledge
A space vehicle and test case technology, applied in software testing/debugging, instrumentation, error detection/correction, etc., can solve problems such as failures, achieve the effects of enhancing effectiveness, reducing test overhead, and improving test efficiency
Pending Publication Date: 2022-05-10
BEIHANG UNIV +1
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Problems solved by technology
In the process of designing test cases for space vehicles, test engineers often use some empirical data for testing. These commonly used empirical data are called typical values. Typical values and data near them are often more likely to trigger corresponding defects, thus produce failure
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[0018] The present invention will be further described in detail below in conjunction with the accompanying drawings. The following will be combined with figure 1 , the specific implementation manner of the technical solution of the present invention is introduced in detail, and its concrete steps are as follows:
[0019] Step 1), obtain the parameter space of the spacecraft system to be tested, and determine the respective probability distribution models, normalization and distance measurement methods of the parameters according to the types, ranges and relevant domain knowledge of different parameters.
[0020] The invention divides the test parameters of the spacecraft into two categories: the first kind is the parameters with typical values, and the second kind is the parameters without typical values. For the first parameter, the invention uses a normal distribution model to describe, and for the second parameter, the invention uses a uniform distribution to describe. T...
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The invention discloses a spacecraft test case adaptive generation method based on domain knowledge, and the method comprises the steps: 1, obtaining a parameter space of a to-be-tested spacecraft, determining a probability distribution model of each parameter, and carrying out the normalization and distance measurement method; 2, according to the probability distribution model, randomly generating an initial case in a parameter space, and putting the initial case into a test case set E; 3, according to the probability distribution model, randomly generating a candidate test case set C in a parameter space; 4, representing the test cases in a vector form, selecting a candidate test case with the largest shortest distance to the test case set E from the candidate test case set C, and putting the candidate test case into the test case set E; and 5, continuously executing the steps 3 and 4 until enough test cases are generated in the test case set E. According to the invention, the generated test case set is closer to the actual test requirement of the spacecraft, the effectiveness of the test case set is enhanced, and the test efficiency can be improved.
Description
technical field [0001] The invention belongs to the field of algorithm design software technology, in particular to a method for adaptively generating space vehicle test cases based on domain knowledge. Background technique [0002] The scale and complexity of the space vehicle system is relatively high. When it is sent from the ground to space, it has to go through the waiting mode, the separation of the satellite and the rocket, the initial deflection elimination, the deployment of the solar wings, the re-despinning, the sun search, the ground search bias, the earth search, Multiple states such as earth pointing, normal mode, etc. Therefore, the number of operating states of the system is large and there are complex coupling relationships between the states, which makes the test space grow explosively. Traditional test case design relies entirely on the experience of testers, the cost of testing is high, and there is a certain degree of blindness in the test process, it i...
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IPC IPC(8): G06F11/36
CPCG06F11/3684G06F11/3688
Inventor 殷蓓蓓李成龙张雷郑征孙波李志栋
Owner BEIHANG UNIV