正确使用机器学习云api的复制

Chengcheng Wan, Shicheng Liu, H. Hoffmann, M. Maire, Shan Lu
{"title":"正确使用机器学习云api的复制","authors":"Chengcheng Wan, Shicheng Liu, H. Hoffmann, M. Maire, Shan Lu","doi":"10.1109/ICSE-Companion52605.2021.00066","DOIUrl":null,"url":null,"abstract":"This artifact aims to provide benchmark suite, data, and script used in our study \"Are Machine Learning Cloud APIs Used Correctly?\". We collected a suite of 360 non-trivial applications that use ML cloud APIs for manual study. We also developed checkers and tool to detect and fix API mis-uses. We hope this artifact can motivate and help future research to further tackle ML API mis-uses. All related data are available online.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Replication of Are Machine Learning Cloud APIs Used Correctly\",\"authors\":\"Chengcheng Wan, Shicheng Liu, H. Hoffmann, M. Maire, Shan Lu\",\"doi\":\"10.1109/ICSE-Companion52605.2021.00066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This artifact aims to provide benchmark suite, data, and script used in our study \\\"Are Machine Learning Cloud APIs Used Correctly?\\\". We collected a suite of 360 non-trivial applications that use ML cloud APIs for manual study. We also developed checkers and tool to detect and fix API mis-uses. We hope this artifact can motivate and help future research to further tackle ML API mis-uses. All related data are available online.\",\"PeriodicalId\":136929,\"journal\":{\"name\":\"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE-Companion52605.2021.00066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion52605.2021.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

该工件旨在提供基准套件、数据和脚本,用于我们的研究“机器学习云api是否被正确使用?”我们收集了一套360个重要的应用程序,这些应用程序使用ML云api进行手工研究。我们还开发了检查器和工具来检测和修复API的误用。我们希望这个工件可以激励和帮助未来的研究进一步解决ML API的误用问题。所有相关数据均可在线获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Replication of Are Machine Learning Cloud APIs Used Correctly
This artifact aims to provide benchmark suite, data, and script used in our study "Are Machine Learning Cloud APIs Used Correctly?". We collected a suite of 360 non-trivial applications that use ML cloud APIs for manual study. We also developed checkers and tool to detect and fix API mis-uses. We hope this artifact can motivate and help future research to further tackle ML API mis-uses. All related data are available online.
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
期刊最新文献
Artifact Evaluation Program Committee Doctoral Symposium Program Committee Posters Program Committee CodeShovel: A Reusable and Available Tool for Extracting Source Code Histories Replication Package for Article: Data-Oriented Differential Testing of Object-Relational Mapping Systems
×
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