从大规模Android用户中挖掘使用数据:挑战和机遇

Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Q. Mei, Dan Hao, Gang Huang, Feng Feng
{"title":"从大规模Android用户中挖掘使用数据:挑战和机遇","authors":"Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Q. Mei, Dan Hao, Gang Huang, Feng Feng","doi":"10.1145/2897073.2897721","DOIUrl":null,"url":null,"abstract":"Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can provide implications, challenges, and opportunities to app-centric software development, deployment, and maintenance.","PeriodicalId":296509,"journal":{"name":"2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities\",\"authors\":\"Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Q. Mei, Dan Hao, Gang Huang, Feng Feng\",\"doi\":\"10.1145/2897073.2897721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can provide implications, challenges, and opportunities to app-centric software development, deployment, and maintenance.\",\"PeriodicalId\":296509,\"journal\":{\"name\":\"2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2897073.2897721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2897073.2897721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

从大量Android用户中挖掘使用数据可以帮助完成各种软件工程任务。我们与中国领先的安卓应用市场豌豆荚合作,对数百万安卓用户的应用使用行为进行了大量的实证分析。我们的实证研究结果可以为以应用程序为中心的软件开发、部署和维护提供启示、挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities
Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can provide implications, challenges, and opportunities to app-centric software development, deployment, and maintenance.
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