Statistics, Department of
The R Journal
Date of this Version
12-2021
Document Type
Article
Citation
The R Journal (December 2021) 13(2); Editor: Dianne Cook
Abstract
Although R programming has been a part of research since its origins in the 1990s, few studies address scientific software development from a Software Engineering (SE) perspective. The past few years have seen unparalleled growth in the R community, and it is time to push the boundaries of SE research and R programming forwards. This paper discusses relevant studies that close this gap Additionally, it proposes a set of good practices derived from those findings aiming to act as a call-to-arms for both the R and RSE (Research SE) community to explore specific, interdisciplinary paths of research
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2021, The R Foundation. Open access material. License: CC BY 4.0 International