Construction method, traversal testing method and computing device of new control prediction model
A technology for prediction models and computing equipment, applied in software testing/debugging, computing, error detection/correction, etc., to solve problems such as the lack of intelligent selection of traversal paths, achieve intelligent path selection, improve effectiveness and comprehensiveness type and improve the overall efficiency
Active Publication Date: 2020-05-12
上海枫守智能信息技术有限公司
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However, there is currently no way to intelligently select the traversal path. Even though various simple algorithms (such as simple random and traversal) can improve the coverage to a certain extent, there is still no method that can be used according to the application under test. A method for feature intelligent path selection
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[0023] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0024] figure 1 is a block diagram of an example computing device 100 . In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .
[0025] Depending on the desired configuration, processor 104 may be any type of processing including, but not limited to, a microprocess...
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The invention discloses a construction method for a new control prediction model, and is suitable to execute in the computation equipment. The computation equipment is provided with a traversal testing application which is suitable for carrying out traversal testing on a plurality of controls on a mobile terminal interface to be tested. The method comprises the following steps that: independentlyclicking a plurality of controls on the mobile terminal interface to be tested, and independently carrying out statistics on a plurality of attribute feature values of each control; independently carrying out statistics on an original interface and a new interface control after each control is clicked, further determining a new discovery control after each control is clicked, and carrying out statistics on a plurality of attribute feature values of each new discovery control; and taking the plurality of attribute feature values of each clicked control as input and the attribute feature valuesof all clicked new discovery controls as output, and adopting a preset algorithm to train the input and the output so as to obtain a new control prediction model. The invention also discloses a traversal testing method executed by the model on the mobile terminal, and the corresponding mobile terminal.
Description
technical field [0001] The invention relates to the field of automated testing, in particular to a construction method of a new control prediction model, a traversal testing method, a mobile terminal and a computing device. Background technique [0002] In the field of automated testing, traversal testing has been widely used in various tests and plays an important role. The traversal test should try to find the path of the application under test as much as possible. The more complete the coverage of the path, the more likely it is to expose the problems of the application under test. Therefore, it is extremely necessary to improve the coverage of the traversal test. However, there is currently no way to intelligently select the traversal path. Even though various simple algorithms (such as simple random and traversal) can improve the coverage to a certain extent, there is still no method that can be used according to the application under test. A method for intelligently s...
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IPC IPC(8): G06F11/36
CPCG06F11/3684
Inventor 陈晓青
Owner 上海枫守智能信息技术有限公司