AI auxiliary automatic testing method and system based on AI deep learning

The invention provides an AI auxiliary automatic testing method based on AI deep learning. The method comprises the following steps: S1, obtaining tested application information, and generating an operation code; s2, testing operation is executed on the tested application through the operation code, exploration testing of the tested application is completed, and an application logic map is generated; s3, classifying the tested application objects, and matching the test script to execute the test of the tested application; step S4, performing analysis and retest on cases failed in the test execution process, and analyzing a test result; s5, generating a test report according to a test result; according to the invention, automatic exploration of the APP function module can be realized, and a function map is formed; and automatic analysis and retest of failure cases and intelligent analysis of test results are realized. 本发明提供了一种基于AI深度学习的AI辅助自动化测试方法，所述方法包括以下步骤：步骤S1、获取被测应用信息，生成操作代码；步骤S2、通过所述操作代码对被测应用执行测试操作，完成被测应用的