Suppr超能文献

实现模拟结果的可重复性——基于Gradle和Docker的调查、指南及示例

Making simulation results reproducible-Survey, guidelines, and examples based on Gradle and Docker.

作者信息

Elmenreich Wilfried, Moll Philipp, Theuermann Sebastian, Lux Mathias

机构信息

Universität Klagenfurt, Klagenfurt, Austria.

出版信息

PeerJ Comput Sci. 2019 Dec 9;5:e240. doi: 10.7717/peerj-cs.240. eCollection 2019.

Abstract

This article addresses two research questions related to reproducibility within the context of research related to computer science. First, a survey on reproducibility addressed to researchers in the academic and private sectors is described and evaluated. The survey indicates a strong need for open and easily accessible results, in particular, reproducing an experiment should not require too much effort. The results of the survey are then used to formulate guidelines for making research results reproducible. In addition, this article explores four approaches based on software tools that could bring forward reproducibility in research results. After a general analysis of tools, three examples are further investigated based on actual research projects which are used to evaluate previously introduced tools. Results indicate that the evaluated tools contribute well to making simulation results reproducible but due to conflicting requirements, none of the presented solutions fulfills all intended goals perfectly.

摘要

本文探讨了与计算机科学相关研究中的可重复性有关的两个研究问题。首先,描述并评估了一项针对学术和私营部门研究人员的可重复性调查。该调查表明,对开放且易于获取的结果有强烈需求,特别是重现一个实验不应需要太多精力。然后,调查结果被用于制定使研究结果具有可重复性的指导方针。此外,本文探索了基于软件工具的四种方法,这些方法可以提高研究结果的可重复性。在对工具进行总体分析之后,基于实际研究项目进一步研究了三个示例,这些项目用于评估先前介绍的工具。结果表明,所评估的工具对使模拟结果具有可重复性有很大帮助,但由于存在相互冲突的要求,所提出的解决方案中没有一个能完美实现所有预期目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2349/7924710/5e947d2570e1/peerj-cs-05-240-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验