Reproducible Science and Deep Software Variability-Reference-Cited by-同舟云学术

Reproducible Science and Deep Software Variability

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems
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Author:

Acher Mathieu¹

Affiliation:

1. Universite de Rennes 1, INRIA/IRISA, Institut Universitaire de France (IUF), France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3510466.3510481

Reference12 articles.

1. [n.d.]. World climat research program (WCRP). https://www.wcrp-climate.org/ [n.d.]. World climat research program (WCRP). https://www.wcrp-climate.org/

2. 2021. Hail , software!Nature Computational Science 1, 2 (01 Feb 2021 ), 89–89. https://doi.org/10.1038/s43588-021-00037-8 2021. Hail, software!Nature Computational Science 1, 2 (01 Feb 2021), 89–89. https://doi.org/10.1038/s43588-021-00037-8

3. Tristan Glatard , Lindsay B Lewis , Rafael Ferreira da Silva , Reza Adalat, Natacha Beck, Claude Lepage, Pierre Rioux, Marc-Etienne Rousseau , Tarek Sherif, Ewa Deelman , 2015 . Reproducibility of neuroimaging analyses across operating systems. Frontiers in neuroinformatics 9 (2015), 12. Tristan Glatard, Lindsay B Lewis, Rafael Ferreira da Silva, Reza Adalat, Natacha Beck, Claude Lepage, Pierre Rioux, Marc-Etienne Rousseau, Tarek Sherif, Ewa Deelman, 2015. Reproducibility of neuroimaging analyses across operating systems. Frontiers in neuroinformatics 9 (2015), 12.

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