ReproZip: Computational Reproducibility With Ease

F. Chirigati, Rémi Rampin, D. Shasha, J. Freire
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引用次数: 106

Abstract

We present ReproZip, the recommended packaging tool for the SIGMOD Reproducibility Review. ReproZip was designed to simplify the process of making an existing computational experiment reproducible across platforms, even when the experiment was put together without reproducibility in mind. The tool creates a self-contained package for an experiment by automatically tracking and identifying all its required dependencies. The researcher can share the package with others, who can then use ReproZip to unpack the experiment, reproduce the findings on their favorite operating system, as well as modify the original experiment for reuse in new research, all with little effort. The demo will consist of examples of non-trivial experiments, showing how these can be packed in a Linux machine and reproduced on different machines and operating systems. Demo visitors will also be able to pack and reproduce their own experiments.
rerepzip:轻松计算再现性
我们介绍了repzip,这是SIGMOD可再现性审查推荐的打包工具。repzip旨在简化现有计算实验跨平台可重复性的过程,即使实验放在一起时没有考虑可重复性。该工具通过自动跟踪和识别所有所需的依赖关系,为实验创建一个自包含的包。研究人员可以与其他人共享这个包,然后其他人可以使用repzip来解压缩实验,在他们喜欢的操作系统上复制发现,以及修改原始实验以便在新的研究中重用,所有这些都不需要花费多少精力。该演示将包含一些重要的实验示例,展示如何将这些实验打包到Linux机器中,并在不同的机器和操作系统上重现。演示参观者还可以打包并复制他们自己的实验。
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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