Reproducibility in Scientific Computing

被引:70
作者
Ivie, Peter [1 ]
Thain, Douglas [1 ]
机构
[1] Univ Notre Dame, Comp Sci & Engn, Notre Dame, IN 46556 USA
基金
美国国家科学基金会;
关键词
Reproducibility; scientific computing; computational science; workflow; workflows; scientific workflows; scientific workflow; replicability; reproducible; WORKFLOW MANAGEMENT; DATA PROVENANCE; TAVERNA; SYSTEM; TOOL; LESSONS;
D O I
10.1145/3186266
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Reproducibility is widely considered to be an essential requirement of the scientific process. However, a number of serious concerns have been raised recently, questioning whether today's computational work is adequately reproducible. In principle, it should be possible to specify a computation to sufficient detail that anyone should be able to reproduce it exactly. But in practice, there are fundamental, technical, and social barriers to doing so. The many objectives and meanings of reproducibility are discussed within the context of scientific computing. Technical barriers to reproducibility are described, extant approaches surveyed, and open areas of research are identified.
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页数:36
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