Aug 27, 2023 · In this work, we discuss a methodology to construct reproducible artifacts based on Docker. Our presentation centers around the preparation of ...
Aug 27, 2023 · This document shares our experience using a particular framework, Docker, to prepare and submit artifacts to different ACM artifact evaluation ...
Feb 1, 2020 · First, build the image in CI. If you're building on your dev machine, that environment can change. Using CI allows you to control the environment and is pretty ...
Missing: Preparing Scientific
Simplest answer is to release the code with a Dockerfile. Anyone can then inspect build steps, build the resulting image and run the experiments for ...
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Jun 12, 2018 · I'd say using Docker or a similar environment is the best approach, especially if you have external system dependencies. That said, I try to aim ...
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Summary of the 10 simple rules for writing Dockerfiles for reproducible data science. Simple Rules” articles in their own right. For the HPC use case, we ...
This technical briefing presents how Docker containers can overcome these issues and aid the reproducibility of research artifacts in software engineering and ...
... section presents a best-practices tutorial on how to prepare an artifact using Docker. 1 The section follows the steps outlined in Figure 2. The figure ...
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What is the difference between Docker image and artifact?
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Nov 21, 2021 · This post will explore both pre-submission and post-publication uses of containers, as well as several shortcomings.
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How the popular emerging technology Docker combines several areas from systems research - such as operating system virtualization, cross-platform ...
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