Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions
Overview & Synopsis
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.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions |
|---|---|
| Author / Organization | Fabien C. Y. Benureau, Nicolas P. Rougier |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2018 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-118103 |
| Original Source Link | Visit Source Page on hal.science » |