System and method for generating test programs with artificial intelligence

Abstract

This invention provides a system for generating test programs using artificial intelligence, applicable to test equipment, including a main program and test vectors. The main program includes standard parameters, test method descriptions, and a test item sequence. The system generates a test item template using artificial intelligence technology based on the standard parameters, test method descriptions, and test item sequence. Test vectors include test action signals. The system uses artificial intelligence technology to learn the test language instruction manual of the test equipment, identifying the relationship between the test action signals and the test language instructions of the test equipment. The system fills the test action signals and test language instructions into the test item template, generating test program code for product verification.

Claims

1. A system for generating test programs using artificial intelligence, applicable to a test machine, comprising: A main program includes a standard parameter, a test method description, and a test item sequence. The system generates a test item template using artificial intelligence technology based on the standard parameter, the test method description, and the test item sequence. A test vector includes a test action signal. The system uses artificial intelligence technology to learn from the user manual of a test language of the test equipment, identifying the relationship between the test action signal and the test language instructions of the test equipment. The system then fills the test action signal and the test language instructions into the test item template to generate test code for product verification.

2. The system as described in claim 1, wherein, The standard parameters, the description of the test methods, and the order of the test items define the content and order of the test items for product verification.

3. The system as described in claim 1, wherein, The system generates the test item template using artificial intelligence technology through a mass production test program corresponding to the test machine, based on the standard parameters, the test method description, and the test item sequence.

4. The system as described in claim 1, wherein, The system, based on the relationship between the test action signal and the test language instruction, fills the test action signal and the test language instruction into the test item template to generate the test code.

5. A method for generating test programs using artificial intelligence, applicable to a test machine, comprising: Extract a test action signal from a test vector; Artificial intelligence technology is used to associate the test action signal with a test language instruction; Based on a standard parameter, a test method description, and a test item sequence in a main program, a test item template is generated using artificial intelligence technology; the test action signal, the test language instruction, and the test item template are combined; a test program code is generated based on the test action signal, the test language instruction, and the test item template; and an error is fed back, the test program code is corrected, and the test program code is regenerated. This process is repeated to ensure that the test program code accurately meets the test requirements.

6. The method as described in claim 5, wherein, The standard parameters, the description of the test methods, and the order of the test items define the content and order of the test items for product verification.

7. The method described in claim 5 further includes generating the test item template using artificial intelligence technology through a mass production test program corresponding to the test machine, based on the standard parameters, the test method description, and the test item sequence.

8. The method described in claim 5 further includes, based on the relationship between the test action signal and the test language instruction, filling the test action signal and the test language instruction into the test item template to generate the test code.

9. The method as described in claim 5, wherein, The test code has an error feedback mechanism, which allows the test code to be adjusted based on a target parameter to accurately meet the test requirements.

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