Application program interface traversal method and device based on machine learning

Abstract

The embodiment of the invention provides an application program interface traversal method and device based on machine learning. The method comprises the steps that classification information of a target application program is acquired, and a target traversal tree model corresponding to the classification information is selected; the classification information is determined according to application attributes and / or service types; the traversal tree model is obtained by training based on a machine learning model and is used for generating an interface traversal click strategy; obtaining current page information of the target application program, and inputting the current page information into the target traversal tree model to obtain a traversal click strategy of the current page; and on the basis of the traversal click strategy, performing traversal click on the current page. According to the method, automatic and accurate traversal clicking of the application program can be achieved, the clicking efficiency is greatly improved, the method is suitable for various test and detection scenes, and the overall detection efficiency of the application can be improved by improving the traversal effectiveness and the traversal coverage degree.

Description

technical field [0001] The embodiments of the present invention relate to the field of computers, and in particular to a method and device for traversing an application program interface based on machine learning. Background technique [0002] With the popularity of smart terminals, more and more applications are developed for smart terminals, and each application needs to be tested before release. [0003] Currently commonly used testing methods include manual testing and automated traversal testing. Manual testing is to manually traverse each interface of the application under test, which consumes a lot of manpower, is inefficient, and is easy to miss and make mistakes. There are two main types of automated traversal tests. The first is the automatic traversal method. The monkey tool provided by android is commonly used. This traversal method is random traversal clicks without manual intervention, but this kind of controllability is poor, and the traversal effectiveness a...

AI Technical Summary

Problems solved by technology

These frameworks have their own implementation methods for automated clicks, but they all face the problems of long detection time for a single sample, a large number of repeated and invalid operations, incompatible detection process pertinence and coverage, and poor adaptability and scalability.

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