LAND: a user-friendly and customizable test generation tool for Android apps

Jiwei Yan, Linjie Pan, Yaqi Li, Jun Yan, Jian Zhang
{"title":"LAND: a user-friendly and customizable test generation tool for Android apps","authors":"Jiwei Yan, Linjie Pan, Yaqi Li, Jun Yan, Jian Zhang","doi":"10.1145/3213846.3229500","DOIUrl":null,"url":null,"abstract":"Model-based GUI exploration techniques are widely used to generate test cases for event-driven programs (such as Android apps). These techniques traverse the elements of screens during the user interaction and simultaneously construct the GUI model. Although there are a number of automatic model-based exploration tools, most of them pay more attention to the exploration procedure than the model reusing. This paper presents LAND, an effective and user-friendly test generation tool based on GUI exploration of Android apps, which constructs an elaborate window transition model ``LATTE'' that considers more Android specific characteristics and provides a customizable test generation interface by reusing the model. Experiments on 20 real-world Android apps are conducted to construct their models as well as test cases. The experimental results indicate that LAND can achieve higher code coverage and trigger exceptions in shorter sequence. It is also demonstrated that LATTE can be well reused under different requirements of test suite generation. A demo video of our tool can be found at the website https://www.youtube.com/watch?v=iqtr12eiJ_0.","PeriodicalId":20542,"journal":{"name":"Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3213846.3229500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Model-based GUI exploration techniques are widely used to generate test cases for event-driven programs (such as Android apps). These techniques traverse the elements of screens during the user interaction and simultaneously construct the GUI model. Although there are a number of automatic model-based exploration tools, most of them pay more attention to the exploration procedure than the model reusing. This paper presents LAND, an effective and user-friendly test generation tool based on GUI exploration of Android apps, which constructs an elaborate window transition model ``LATTE'' that considers more Android specific characteristics and provides a customizable test generation interface by reusing the model. Experiments on 20 real-world Android apps are conducted to construct their models as well as test cases. The experimental results indicate that LAND can achieve higher code coverage and trigger exceptions in shorter sequence. It is also demonstrated that LATTE can be well reused under different requirements of test suite generation. A demo video of our tool can be found at the website https://www.youtube.com/watch?v=iqtr12eiJ_0.
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
LAND: Android应用程序的用户友好和可定制的测试生成工具
基于模型的GUI探索技术被广泛用于为事件驱动的程序(如Android应用程序)生成测试用例。这些技术在用户交互期间遍历屏幕元素,同时构建GUI模型。尽管有许多基于模型的自动勘探工具,但它们大多更注重勘探过程,而不是模型的重用。本文介绍了基于Android应用程序GUI探索的有效且用户友好的测试生成工具LAND,它构建了一个考虑更多Android特定特性的精细窗口转换模型“LATTE”,并通过重用该模型提供了可定制的测试生成界面。在20个真实的Android应用程序上进行实验,构建它们的模型和测试用例。实验结果表明,LAND可以实现更高的代码覆盖率,并在更短的序列内触发异常。结果表明,在不同的测试套件生成需求下,LATTE可以很好地重用。我们的工具的演示视频可以在网站https://www.youtube.com/watch?v=iqtr12eiJ_0上找到。
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
0
期刊最新文献
LAND: a user-friendly and customizable test generation tool for Android apps Bench4BL: reproducibility study on the performance of IR-based bug localization Search-based detection of deviation failures in the migration of legacy spreadsheet applications Identifying implementation bugs in machine learning based image classifiers using metamorphic testing Tests from traces: automated unit test extraction for R
×
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
×
提示
确定
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