Elmenreich Wilfried, Moll Philipp, Theuermann Sebastian, Lux Mathias
Universität Klagenfurt, Klagenfurt, Austria.
PeerJ Comput Sci. 2019 Dec 9;5:e240. doi: 10.7717/peerj-cs.240. eCollection 2019.
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.
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。