Description
Operational Research User Stories.
Description
A first implementation of automated parsing of user stories, when used to defined functional requirements for operational research mathematical models. It allows reading user stories, splitting them on the who-what-why template, and classifying them according to the parts of the mathematical model that they represent. Also provides semantic grouping of stories, for project management purposes.
README.md
oRus 
The oRus package implements a semi-automated process to pre-analyse and organise user stories created to represent and document the functional requirements of mathematical models in Operational Research.
Employing user stories for this purpose was proposed as part of the concept of "Agile Operational Research" [1], and later evaluated on its own [2].
You can find more information in the articles:
Installation
You can install the development version of oRus from GitHub with:
# install.packages("remotes")
remotes::install_github("melvidoni/oRus")
References
Available at References.