A processing method and device for generating an optimal test coverage path for a test object

Abstract

An embodiment of the present invention provides a processing method and device for generating an optimal test coverage path for a test object. The method includes: acquiring N random individuals as ancestor individuals; initializing each ancestor individual according to the test results of the test object Scoring, according to the initial scoring results to obtain the target individuals that need to be retained in the first generation; construct N next-generation individuals containing the target individuals; and calculate the scoring results of the next-generation individuals, and repeat the execution until N next-generation individuals Until the comparison results between the score results corresponding to the individual and the score results corresponding to the adjacent N previous generation individuals meet the preset conditions; the preset judgment table corresponding to the Mth generation individuals when the preset conditions are determined to be satisfied is: The target preset decision table generates the optimal test coverage path for all user behavior nodes. The apparatus performs the method described above. The method and device provided by the embodiments of the present invention can quickly and reasonably generate the next user behavior node.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of software testing, and in particular to a processing method and device for generating an optimal test coverage path for a test object. Background technique [0002] With the development of software technology, the complexity of software is getting higher and higher, and consequently, software testing is also facing serious problems. [0003] Testers need to understand the logic of each function point from multiple perspectives (including overall and detailed use), so as to be able to find problems and judge which possible user behaviors the problem is most likely to appear in, which is the primary goal of software testing . However, the testing behavior is inexhaustible. The testing problem is an efficiency problem. Mathematically, it is "how to select the shortest and fastest test coverage path in order to find enough problems". The existing technology usually tests the test object...

AI Technical Summary

Problems solved by technology

However, the testing behavior is inexhaustible. The testing problem is an efficiency problem. Mathematically, it is "how to choose the shortest and fastest test coverage path in order to find enough problems"

Existing technologies usually test the test object based on the experience of the tester, not only the test coverage path is not reasonable enough, but also the efficiency is relatively low

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