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Automatic testing method based on neural network

An automated testing and neural network technology, applied in the field of software automated testing equipment, can solve the problems of tedious and difficult testing work

Pending Publication Date: 2021-11-30
广东南方信息安全研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increase of software functions or the increase of new software projects, the testing work will become very cumbersome and difficult

Method used

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  • Automatic testing method based on neural network

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Embodiment Construction

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Example;

[0028] Step 1: Record the video of the manual test software demonstration in advance as a deep learning training corpus to obtain the software interface that needs to be opened for each test and the software test sequence.

[0029] The above-mentioned requirements for recording video should have the following requirements: specific software testing process; before performing a specific test, record the name of the test item; the test video of the same software is named after the number and name and saved to the software. in the named folder;

[0030] Use the screen recording software to open the software to be tested, perform different test ite...

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Abstract

Aiming at the problem of automatic testing in the field of software testing, the invention provides an automatic testing method based on a neural network. The testing software capable of automatically performing software testing can be compiled by classifying the existing testing video and tracking the target of a cursor, a self-optimization function is achieved. A correct automatic test function is realized, and when accidental blocking occurs in the test process, the last associated test part can be quickly recovered, and subsequent operation is carried out.

Description

technical field [0001] The invention belongs to the technical field of neural networks, and in particular relates to a device for realizing video classification and automatic software testing through a CNN+RNN neural network. Background technique [0002] In the current field of software testing, automated testing has become the mainstream of system testing. Now many computer companies at home and abroad have developed their own automated testing software for automated testing of products. However, the current automated testing software can only conduct automated testing for certain types or several types of special products or functions. If other products or functions need to be tested, programmers need to modify the software. Especially when faced with the correct design and testing of the same software system in different departments, because different departments have different programming levels and design concepts, the design of the same software system will also be d...

Claims

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3688
Inventor 才华
Owner 广东南方信息安全研究院