Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions - Archive ouverte HAL Access content directly
Journal Articles Frontiers in Neuroinformatics Year : 2018

Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

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Fabien C. Y. Benureau
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Nicolas P. Rougier

Abstract

Scientific code is not production software. Scientific code participates in the evaluation of a scientific hypothesis. This imposes specific constraints on the code that are often overlooked in practice. We articulate, with a small example, five characteristics that a scientific code in computational science should possess: re-runnable, repeatable, reproducible, reusable and replicable.
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Dates and versions

hal-01577578 , version 1 (26-08-2017)
hal-01577578 , version 2 (15-06-2018)

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Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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Fabien C. Y. Benureau, Nicolas P. Rougier. Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions. Frontiers in Neuroinformatics, 2018, 11, ⟨10.3389/fninf.2017.00069⟩. ⟨hal-01577578v2⟩
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