分析软件容器中的包的工具

Ahmed Zerouali, Valerio Cosentino, G. Robles, Jesus M. Gonzalez-Barahona, T. Mens
{"title":"分析软件容器中的包的工具","authors":"Ahmed Zerouali, Valerio Cosentino, G. Robles, Jesus M. Gonzalez-Barahona, T. Mens","doi":"10.1109/MSR.2019.00089","DOIUrl":null,"url":null,"abstract":"Deploying software packages and services into containers is a popular software engineering practice that increases portability and reusability. Docker, the most popular containerization technology, helps DevOps practitioners in their daily activities. Despite being successfully and increasingly employed, containers may include buggy and vulnerable packages that put at risk the environments in which the containers have been deployed. Existing quality and security monitoring tools provide only limited support to analyze Docker containers, thus forcing practitioners to perform additional manual work or develop adhoc scripts when the analysis goes beyond security purposes. This limitation also affects researchers desiring to empirically study the evolution dynamics of Docker containers and their contained packages. To overcome this limitation, we present ConPan, an automated tool to inspect the characteristics of packages in Docker containers, such as their outdatedness and other possible flaws (e.g., bugs and security vulnerabilities). ConPan comes with a CLI and API, and the analysis results can be presented to the user in a variety of formats.","PeriodicalId":6706,"journal":{"name":"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)","volume":"8 1","pages":"592-596"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"ConPan: A Tool to Analyze Packages in Software Containers\",\"authors\":\"Ahmed Zerouali, Valerio Cosentino, G. Robles, Jesus M. Gonzalez-Barahona, T. Mens\",\"doi\":\"10.1109/MSR.2019.00089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deploying software packages and services into containers is a popular software engineering practice that increases portability and reusability. Docker, the most popular containerization technology, helps DevOps practitioners in their daily activities. Despite being successfully and increasingly employed, containers may include buggy and vulnerable packages that put at risk the environments in which the containers have been deployed. Existing quality and security monitoring tools provide only limited support to analyze Docker containers, thus forcing practitioners to perform additional manual work or develop adhoc scripts when the analysis goes beyond security purposes. This limitation also affects researchers desiring to empirically study the evolution dynamics of Docker containers and their contained packages. To overcome this limitation, we present ConPan, an automated tool to inspect the characteristics of packages in Docker containers, such as their outdatedness and other possible flaws (e.g., bugs and security vulnerabilities). ConPan comes with a CLI and API, and the analysis results can be presented to the user in a variety of formats.\",\"PeriodicalId\":6706,\"journal\":{\"name\":\"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)\",\"volume\":\"8 1\",\"pages\":\"592-596\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSR.2019.00089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR.2019.00089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

将软件包和服务部署到容器中是一种流行的软件工程实践,可以提高可移植性和可重用性。Docker是最流行的容器化技术,可以帮助DevOps从业者进行日常活动。尽管越来越多的人成功地使用了容器,但容器可能包含错误和易受攻击的包,这些包会给部署容器的环境带来风险。现有的质量和安全监控工具对分析Docker容器只提供有限的支持,因此当分析超出安全目的时,从业者被迫执行额外的手工工作或开发专门的脚本。这一限制也影响了希望经验性地研究Docker容器及其包含的包的演化动态的研究人员。为了克服这一限制,我们提出了ConPan,这是一个自动化工具,用于检查Docker容器中的包的特征,例如它们的过时性和其他可能的缺陷(例如,错误和安全漏洞)。ConPan附带了CLI和API,分析结果可以以多种格式呈现给用户。
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
ConPan: A Tool to Analyze Packages in Software Containers
Deploying software packages and services into containers is a popular software engineering practice that increases portability and reusability. Docker, the most popular containerization technology, helps DevOps practitioners in their daily activities. Despite being successfully and increasingly employed, containers may include buggy and vulnerable packages that put at risk the environments in which the containers have been deployed. Existing quality and security monitoring tools provide only limited support to analyze Docker containers, thus forcing practitioners to perform additional manual work or develop adhoc scripts when the analysis goes beyond security purposes. This limitation also affects researchers desiring to empirically study the evolution dynamics of Docker containers and their contained packages. To overcome this limitation, we present ConPan, an automated tool to inspect the characteristics of packages in Docker containers, such as their outdatedness and other possible flaws (e.g., bugs and security vulnerabilities). ConPan comes with a CLI and API, and the analysis results can be presented to the user in a variety of formats.
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
SeSaMe: A Data Set of Semantically Similar Java Methods Lessons Learned from Using a Deep Tree-Based Model for Software Defect Prediction in Practice STRAIT: A Tool for Automated Software Reliability Growth Analysis Assessing Diffusion and Perception of Test Smells in Scala Projects An Empirical History of Permission Requests and Mistakes in Open Source Android Apps
×
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