melvidoni/oRus: Operational Research User Stories

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.

Getting started

Package details

MaintainerMelina Vidoni <melina.vidoni@rmit.edu.au>
LicenseGPL-3
Version1.0.0
URL https://github.com/melvidoni/oRus
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("melvidoni/oRus")
melvidoni/oRus documentation built on July 9, 2020, 1:43 p.m.