Fixit - A Semi-Automatic Software Deployment Tool for Arbitrary Targets

Proceedings of the 1st International Conference on Information Science and Systems Pub Date : 2018-04-27 DOI:10.1145/3209914.3209938

E. Loseva, A. Obeid, H. Richter, R. Backes, D. Eichhorn

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Abstract

The deployment of software packages becomes more and more difficult. Thus Canonical Ltd. has created a framework called "JuJu" that serves as a DevOps toolchain. JuJu allows an integrated software development, deployment and operation of software packages. Additionally Canocial provided hundreds of open-source JuJu-maintained software packages in an own online store for download. However, our tests revealed that only 14 % of 35 picked packages from the Canonical's JuJu charm store really be installed as they are. The reason is that many of them are sensitive against mismatches of what is contained in the relevant JuJu files and what exists as target hardware at the customer. Because of that, a new concept and tool called Fixit was created by us for the semi-automatic software-deployment of JuJu software packages onto arbitrary hardware and software environments such as Windows and Linux operating systems. Fixit improves the quota of successful first-try installations from 14 to 69 %. This is accomplished by semi-automatic analysis and transformation of the package source codes.

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Fixit -针对任意目标的半自动软件部署工具

软件包的部署变得越来越困难。因此，Canonical有限公司创建了一个名为“JuJu”的框架，作为DevOps工具链。集聚软件开发、部署和运行于一体的软件包。此外，Canocial在自己的在线商店中提供了数百个由juju维护的开源软件包供下载。然而，我们的测试显示，从Canonical的JuJu魅力商店中挑选的35个软件包中，只有14%真正安装。原因是它们中的许多对相关JuJu文件中包含的内容与客户作为目标硬件存在的内容不匹配非常敏感。因此，我们创造了一个名为Fixit的新概念和工具，用于将聚聚软件包半自动部署到任意硬件和软件环境(如Windows和Linux操作系统)上。Fixit将首次尝试安装成功的配额从14%提高到69%。这是通过对包源代码的半自动分析和转换来完成的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 1st International Conference on Information Science and Systems

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