{"title":"基于图像处理的应用自动化测试","authors":"Zongxing Xie, Yufa Chen, Zuyuan Long","doi":"10.23919/WAC55640.2022.9934570","DOIUrl":null,"url":null,"abstract":"Application automation testing based on image processing is a type of testing based on image processing and application testing. It is also called UI test or uitest. This test type can be used to automate the whole process of application testing, including UI test, function test and performance test. The automation part of this type of test involves using scripts to perform actions, such as clicking buttons and filling out forms for user input. These scripts are written in different programming languages, such as JavaScript, python, ruby, etc., depending on the test platform. Traditional automated testing, such as unit testing and UI testing, can partially solve some automated testing, but there are many scenarios that cannot be solved by the above methods. Therefore, we propose an application automation test method based on image processing, which can effectively fill the gap of traditional automation test and ensure the quality of application.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application Automation Test Based on Image Processing\",\"authors\":\"Zongxing Xie, Yufa Chen, Zuyuan Long\",\"doi\":\"10.23919/WAC55640.2022.9934570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application automation testing based on image processing is a type of testing based on image processing and application testing. It is also called UI test or uitest. This test type can be used to automate the whole process of application testing, including UI test, function test and performance test. The automation part of this type of test involves using scripts to perform actions, such as clicking buttons and filling out forms for user input. These scripts are written in different programming languages, such as JavaScript, python, ruby, etc., depending on the test platform. Traditional automated testing, such as unit testing and UI testing, can partially solve some automated testing, but there are many scenarios that cannot be solved by the above methods. Therefore, we propose an application automation test method based on image processing, which can effectively fill the gap of traditional automation test and ensure the quality of application.\",\"PeriodicalId\":339737,\"journal\":{\"name\":\"2022 World Automation Congress (WAC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 World Automation Congress (WAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/WAC55640.2022.9934570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WAC55640.2022.9934570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Automation Test Based on Image Processing
Application automation testing based on image processing is a type of testing based on image processing and application testing. It is also called UI test or uitest. This test type can be used to automate the whole process of application testing, including UI test, function test and performance test. The automation part of this type of test involves using scripts to perform actions, such as clicking buttons and filling out forms for user input. These scripts are written in different programming languages, such as JavaScript, python, ruby, etc., depending on the test platform. Traditional automated testing, such as unit testing and UI testing, can partially solve some automated testing, but there are many scenarios that cannot be solved by the above methods. Therefore, we propose an application automation test method based on image processing, which can effectively fill the gap of traditional automation test and ensure the quality of application.