Componentized test case generation method

Abstract

The invention relates to a method for generating a modularized test case. The method comprises the following steps: A, respectively extracting all entity elements and action elements involved in all historical text test cases to form a corresponding entity element set and action element set, and setting corresponding semantic tags for all the elements, wherein the entity element set comprises a public entity element set and a specific entity element set; B, establishing a public entity element hierarchy tree according to inclusion relations among entities, and classifying the specific entity elements into the public entity element level tree to serve as child nodes or newly building a specific entity element level tree according to whether the specific entity elements can be classified into the public entity element level tree or not; C, establishing a relationship sequence according to the time sequence relationship among the elements; and D, processing an input text into a corresponding relationship sequence and the test case. The test case can be automatically generated according to the existing data, the semantic ambiguity problem of the test case is solved, and the generated test case is single in semantics and free of ambiguity.

Description

technical field [0001] The invention relates to a method for generating computer software test cases, in particular to a method for generating componentized test cases. Background technique [0002] When testing computer software, the current industry common practice is that testers use natural language to write test cases. However, due to the ambiguity of natural language, the readability and effectiveness of test cases are often affected and determined by the language level of the author, resulting in uneven quality of test cases, which is not conducive to test execution and test management. . In addition, natural language test cases are difficult to be fully understood by machines. Therefore, in the application of automated testing, such test cases are often difficult to convert into automated test scripts, and automated testing and automated free testing cannot be easily realized. [0003] In addition, the test case generation technology used in the industry is usually...

AI Technical Summary

Problems solved by technology

However, due to the ambiguity of natural language, the readability and effectiveness of test cases are often affected and determined by the language level of the author, resulting in uneven quality of test cases, which is not conducive to test execution and test management.

In addition, natural language test cases are difficult to be fully understood by machines. Therefore, in the application of automated testing, such test cases are often difficult to convert into automated test scripts, and automated testing and automated free testing cannot be easily realized.

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