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Software interface automatic testing cloud platform device based on deep learning and testing method

A technology of software interface and automatic testing, applied in software testing/debugging, error detection/correction, instruments, etc., can solve the problems of repeated testing, labor, time-consuming and labor-intensive, etc., and achieve efficient and high-efficiency results

Active Publication Date: 2018-06-22
CHINA JILIANG UNIV
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AI Technical Summary

Problems solved by technology

[0003] Traditional software interface testing is mainly manual, time-consuming and labor-intensive, and there are problems such as repeated testing

Method used

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  • Software interface automatic testing cloud platform device based on deep learning and testing method

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Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] see figure 1 , in an embodiment of the present invention, a software interface automatic testing cloud platform device based on deep learning, including several user terminals and cloud servers, each of the user terminals includes a Web browser and an automatic screen capture module, and the cloud server includes Web server, database, deep neural network (DNN) model, screenshot receiving module, web crawler module, described Web browser and Web server a...

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Abstract

The invention discloses a software interface automatic testing cloud platform device based on deep learning. The device comprises a plurality of user terminals and a cloud server, each user terminal comprises a Web browser and an automatic screenshot module, the cloud server comprises a Web server, a database, a deep neural network model, a screenshot receiving module and a web crawler module, theWeb browsers are communicated and connected with the Web server, the automatic screenshot module is connected with the screenshot receiving module, the screenshot receiving module and the web crawlermodule are connected to the database separately, and the database is connected with the Web server and the deep neural network model separately. The testing method comprises the following steps of 1,performing automatic screen shooting, and marking the appearance degree of the screenshot; 2, training the deep neural network model; 3, evaluating a newly-input software interface image, and evaluating the attractiveness degree. Different software interfaces can be automatically classified according to the attractiveness degree, time and labor are saved, and the efficiency is high.

Description

technical field [0001] The invention relates to a cloud platform device, in particular to a deep learning-based software interface automatic test cloud platform device and a testing method. Background technique [0002] Interface test (referred to as UI test), to test whether the layout of the functional modules of the user interface is reasonable, whether the overall style is consistent, whether the placement of each control is in line with the customer's usage habits, and also to test the convenience of interface operation and easy-to-understand navigation. The availability of page elements, whether the text in the interface is correct, whether the naming is unified, whether the page is beautiful, whether the combination of text and pictures is perfect, etc. [0003] Traditional software interface testing is mainly manual, which is time-consuming and labor-intensive, and there are problems such as repeated testing. Contents of the invention [0004] The purpose of the p...

Claims

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3688
Inventor 陆慧娟叶敏超曹昊张铭王钰俍陈崇博
Owner CHINA JILIANG UNIV
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