Skip to Main content Skip to Navigation
Journal articles

Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria

Pierre Alliez 1 Roberto Di Cosmo 2 Benjamin Guedj 3, 4 Alain Girault 5 Mohand-Said Hacid 6 Arnaud Legrand 7, 8 Nicolas P. Rougier 9
1 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
4 MODAL - MOdel for Data Analysis and Learning
Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille, Université de Lille, Sciences et Technologies
5 SPADES [2016-2019] - Sound Programming of Adaptive Dependable Embedded Systems [2016-2019]
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
6 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
8 POLARIS [2016-2019] - Performance analysis and optimization of LARge Infrastructures and Systems [2016-2019]
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
9 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : Software is a fundamental pillar of modern scientific research, not only in computer science, but actually across all fields and disciplines. However, there is a lack of adequate means to cite and reference software, for many reasons. An obvious first reason is software authorship, which can range from a single developer to a whole team, and can even vary in time. The panorama is even more complex than that, because many roles can be involved in software development: software architect, coder, debugger, tester, team manager, and so on. Arguably, the researchers who have invented the key algorithms underlying the software can also claim a part of the authorship. And there are many other reasons that make this issue complex. We provide in this paper a contribution to the ongoing efforts to develop proper guidelines and recommendations for software citation, building upon the internal experience of Inria, the French research institute for digital sciences. As a central contribution, we make three key recommendations. (1) We propose a richer taxonomy for software contributions with a qualitative scale. (2) We claim that it is essential to put the human at the heart of the evaluation. And (3) we propose to distinguish citation from reference.
Document type :
Journal articles
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02135891
Contributor : Roberto Di Cosmo <>
Submitted on : Monday, November 11, 2019 - 6:19:13 PM
Last modification on : Monday, October 12, 2020 - 12:46:05 PM

Files

fullpaper.pdf
Files produced by the author(s)

Identifiers

Citation

Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, et al.. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. Computing in Science & Engineering, IEEE, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩

Share

Metrics

Record views

1578

Files downloads

534