Computer Science

Development Efforts for Reproducible Research: Platform, Library and Editorial Investment

Publié le - RRPR 2022: Reproducible Research in Pattern Recognition

Auteurs : Miguel Colom, José Armando Hernández, Bertrand Kerautret, Benjamin Perret

Reproducible research in pattern recognition can be viewed from a number of angles, including code execution, platforms that promote reproducibility, code sharing, or the release of libraries providing access to relevant algorithms in the corresponding disciplines. In this work, after recalling the motivation and classic definitions of reproducible research, we propose an updated overview of the main platforms that might be used for reproducible research. We then review the different libraries that are commonly used by the pattern recognition, computer vision, imaging and geometry processing communities, and we share our experience of developing a research library. In the third part, new advanced editorial investments will be presented, such as the IPOL journal or other IPOL-inspired new initiatives like OVD-SaaS.