Guideline of Test Suite Construction for GUI Software Centered on Grey-Box Approach

Meng-qing Tanli, Jiyi Xiao, Ying Zhang
{"title":"Guideline of Test Suite Construction for GUI Software Centered on Grey-Box Approach","authors":"Meng-qing Tanli, Jiyi Xiao, Ying Zhang","doi":"10.4236/jsea.2023.165007","DOIUrl":null,"url":null,"abstract":"In this paper, the test suite construction for GUI (Graphical User Interface) software may be executed centered on grey-box approach with the prior test design of window access controls for unit testing, including front-end method of white box and follow-up black box method for integration testing. Moreover, two key opinions are proposed for the test suite construction for GUI software, the first one is that the “Triple-step method” should be used for unit testing with the prior disposing of data boundary value testing of input controls, and another one is that the “Grey-box approach” should be applied in integration testing for GUI software with necessary testing preparation in the precondition. At the same time, the testing of baseline version and the incremental testing should be considered for the test case construction to coordinate with the whole evolution of software product today. Additionally, all our opinion and thought are verified and tested with a typical case of GUI soft-ware—PQMS (Product Quality Monitoring Software/System), and results indicate that these methods and specific disposing are practical and effective.","PeriodicalId":62222,"journal":{"name":"软件工程与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"软件工程与应用(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/jsea.2023.165007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, the test suite construction for GUI (Graphical User Interface) software may be executed centered on grey-box approach with the prior test design of window access controls for unit testing, including front-end method of white box and follow-up black box method for integration testing. Moreover, two key opinions are proposed for the test suite construction for GUI software, the first one is that the “Triple-step method” should be used for unit testing with the prior disposing of data boundary value testing of input controls, and another one is that the “Grey-box approach” should be applied in integration testing for GUI software with necessary testing preparation in the precondition. At the same time, the testing of baseline version and the incremental testing should be considered for the test case construction to coordinate with the whole evolution of software product today. Additionally, all our opinion and thought are verified and tested with a typical case of GUI soft-ware—PQMS (Product Quality Monitoring Software/System), and results indicate that these methods and specific disposing are practical and effective.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于灰盒方法的GUI软件测试套件构建指南
在本文中,GUI(图形用户界面)软件的测试套件构建可以以灰盒方法为中心,以单元测试的窗口访问控件的预先测试设计为中心,包括前端白盒方法和后续集成测试的黑盒方法。对GUI软件的测试套件构建提出了两个重点意见,一是单元测试应采用“三步法”,优先处理输入控件的数据边界值测试;二是GUI软件的集成测试应采用“灰盒法”,并在此前提下进行必要的测试准备。同时,对于测试用例的构建,应该考虑基线版本的测试和增量测试,以配合当今软件产品的整个演进。并以GUI软件- pqms (Product Quality Monitoring Software/System,产品质量监控软件/系统)为例进行了验证和测试,结果表明这些方法和具体处理是切实有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
815
期刊最新文献
Advanced Face Mask Detection Model Using Hybrid Dilation Convolution Based Method Artificial Intelligence and the Sustainable Development Goals: An Exploratory Study in the Context of the Society Domain Guideline of Test Suite Construction for GUI Software Centered on Grey-Box Approach Software Metric Analysis of Open-Source Business Software Research and Implementation of Cancer Gene Data Classification Based on Deep Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1