Reproducible Research in Computer Science

Lucas Nussbaum 1, *
* Auteur correspondant
1 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : The ability to reproduce experiments and results is condition to a solid scientific method. Scientific communities in physics or bio-informatique that use computing resources intensively for simulations or data-mining have initiated a movement towards higher-quality experimental methodology, sharing of experimental processes and software used. This movement now reaches computer science. In this talk, I will provide an overview of initiatives around reproducible research, and tools that already allow to improve one's daily practices. I will finish by talking about some long-term challenges.
Type de document :
Communication dans un congrès
Séminaire du laboratoire ICube, Jan 2015, Strasbourg, France. 2015
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Contributeur : Lucas Nussbaum <>
Soumis le : mardi 27 janvier 2015 - 16:55:45
Dernière modification le : jeudi 11 janvier 2018 - 06:25:23


Distributed under a Creative Commons Paternité - Partage selon les Conditions Initiales 4.0 International License


  • HAL Id : hal-01110206, version 1



Lucas Nussbaum. Reproducible Research in Computer Science. Séminaire du laboratoire ICube, Jan 2015, Strasbourg, France. 2015. 〈hal-01110206〉



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