CheckDroid:一个使用污点分析自动检测Android应用程序中的不良做法的工具

S. Yovine, Gonzalo Winniczuk
{"title":"CheckDroid:一个使用污点分析自动检测Android应用程序中的不良做法的工具","authors":"S. Yovine, Gonzalo Winniczuk","doi":"10.1109/MOBILESoft.2017.37","DOIUrl":null,"url":null,"abstract":"Today, Android runs on more than 80% of smartphones and tablets in the market. Although a guide to good programming practices exists, it is not at all enforced by current IDEs. This work presents CheckDroid, a tool towards automatically detecting bad patterns early in the development cycle. Its originality relies on the idea of mapping bad practices into appropriate paths in the code which can be found by static taint analysis. The main benefit for developers consists in the ability to early, simply and quickly clean up the code of potential causes of runtime errors. More specific tools can be used later for deeper verification. Preliminary experimental evaluation shows that CheckDroid is able to find common bad practices incurred in by newbie Android programmers.","PeriodicalId":281934,"journal":{"name":"2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"CheckDroid: A Tool for Automated Detection of Bad Practices in Android Applications Using Taint Analysis\",\"authors\":\"S. Yovine, Gonzalo Winniczuk\",\"doi\":\"10.1109/MOBILESoft.2017.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, Android runs on more than 80% of smartphones and tablets in the market. Although a guide to good programming practices exists, it is not at all enforced by current IDEs. This work presents CheckDroid, a tool towards automatically detecting bad patterns early in the development cycle. Its originality relies on the idea of mapping bad practices into appropriate paths in the code which can be found by static taint analysis. The main benefit for developers consists in the ability to early, simply and quickly clean up the code of potential causes of runtime errors. More specific tools can be used later for deeper verification. Preliminary experimental evaluation shows that CheckDroid is able to find common bad practices incurred in by newbie Android programmers.\",\"PeriodicalId\":281934,\"journal\":{\"name\":\"2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MOBILESoft.2017.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MOBILESoft.2017.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

如今,市场上超过80%的智能手机和平板电脑都运行着Android系统。尽管存在关于良好编程实践的指南,但当前的ide根本没有强制执行它。这项工作提出了CheckDroid,一个在开发周期的早期自动检测不良模式的工具。它的原创性依赖于将不良实践映射到代码中可以通过静态污染分析找到的适当路径的想法。对开发人员来说,主要的好处在于能够尽早、简单、快速地清理可能导致运行时错误的代码。稍后可以使用更具体的工具进行更深入的验证。初步的实验评估表明,CheckDroid能够发现新手Android程序员常见的不良做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CheckDroid: A Tool for Automated Detection of Bad Practices in Android Applications Using Taint Analysis
Today, Android runs on more than 80% of smartphones and tablets in the market. Although a guide to good programming practices exists, it is not at all enforced by current IDEs. This work presents CheckDroid, a tool towards automatically detecting bad patterns early in the development cycle. Its originality relies on the idea of mapping bad practices into appropriate paths in the code which can be found by static taint analysis. The main benefit for developers consists in the ability to early, simply and quickly clean up the code of potential causes of runtime errors. More specific tools can be used later for deeper verification. Preliminary experimental evaluation shows that CheckDroid is able to find common bad practices incurred in by newbie Android programmers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信