Beyond computational reproducibility, let us aim for reusability

Abstract : Scientific progress calls for reproducing results. Due to limited resources, this is difficult even in computational sciences. Yet, reproducibility is only a means to an end. It is not enough by itself to enable new scientific results. Rather, new discoveries must build on reuse and modification of the state of the art. As time goes, this state of the art must be consolidated in software libraries, just as scientific knowledge as been consolidated on bookshelves of brick-and-mortar libraries.
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Article dans une revue
Newsletter of the IEEE Technical Committee on Cognitive and Developmental Systems, 2016, What is Computational Reproducibility?, 13 (2), 〈https://openlab-flowers.inria.fr/t/ieee-cis-newsletter-on-cognitive-and-developmental-systems/129〉
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https://hal.inria.fr/hal-01592368
Contributeur : Gaël Varoquaux <>
Soumis le : vendredi 13 octobre 2017 - 17:59:10
Dernière modification le : jeudi 29 mars 2018 - 10:32:02
Document(s) archivé(s) le : dimanche 14 janvier 2018 - 12:12:22

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Gaël Varoquaux. Beyond computational reproducibility, let us aim for reusability. Newsletter of the IEEE Technical Committee on Cognitive and Developmental Systems, 2016, What is Computational Reproducibility?, 13 (2), 〈https://openlab-flowers.inria.fr/t/ieee-cis-newsletter-on-cognitive-and-developmental-systems/129〉. 〈hal-01592368〉

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