AI intelligent software testing method
A software testing method and intelligent technology, applied in software testing/debugging, error detection/correction, special data processing applications, etc., can solve problems such as the lack of intelligence in automated software testing, and achieve good test stability and applicability. High level of intelligence and the effect of reducing hardware requirements
Pending Publication Date: 2021-10-26
师江帆
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Problems solved by technology
[0004] In view of this, an embodiment of the present invention provides an AI intelligent software testing method to solve the problem of insufficient intelligence in automated software testing in the prior art
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[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0048] The embodiment of the present invention provides an AI intelligent software testing method, which can be applied not only to smart terminals, but also to test application types that support testing of PC terminals, smart homes, Internet of Vehicles, POS machines, etc., such as hard keyboards. Such as figure 1 As shown, the test method includes the fol...
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The invention discloses an AI intelligent software testing method. The method comprises the steps that s1, defining node types in a training website testing process, and determining a node state judgment method; wherein the node types comprise a process starting node, a process intermediate node and a process ending node; s2, extracting a pairing relationship between different types of input element components of the node and elements of the tag element component according to a component distance minimum strategy; s3, adopting an enhanced learning reward and punishment mechanism to realize the weight of a front node state transferred to a current node state, and traversing the content of the training website to obtain a business process forest with weight information; s4, selecting an optimal execution scheme in the business process forest based on a jump time response condition; and s5, testing the test website according to the optimal execution scheme to obtain a test result. According to the method, the AI learning is utilized to train the specific business process of the website, intelligent software testing is carried out on different testing websites, and the method has technical perspectiveness.
Description
technical field [0001] The invention relates to the technical field of software testing, in particular to an AI intelligent software testing method. Background technique [0002] In the prior art, for the testing of the application program installed in the mobile phone, there is also an existing technology that automated testing replaces manual testing. One is to automatically test the function of the application program through software programming. This pure software automatic testing method needs to be tested Personnel are familiar with software codes and can write instructions that simulate user operations to realize automated software testing of mobile phones. Moreover, this method of testing software control software is not stable, prone to errors and difficult to correct; the other is based on machine Vision uses the robotic arm of an intelligent robot to replace manual testing activities. [0003] However, neither of the above two testing methods can be regarded as ...
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Login to View More IPC IPC(8): G06F11/36G06F16/958
CPCG06F11/3688G06F16/972
Inventor 师江帆
Owner 师江帆