CRAN/E | oRus

oRus

Operational Research User Stories

Installation

About

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.

github.com/melvidoni/oRus
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.6.0
Published 2020-07-07 1555 days ago
Needs compilation? no
License GPL-3
CRAN checks oRus results

Downloads

Yesterday 36 +1100%
Last 7 days 128 -6%
Last 30 days 495 -42%
Last 90 days 1.693 +15%
Last 365 days 5.848 +46%

Maintainer

Maintainer

Melina Vidoni

Authors

Melina Vidoni

aut / cre

Laura Cunico

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

How to use oRus?
References
How does oRus Works?

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.6.0

Imports

dplyr
stringr
tm
tibble
tidytext
topicmodels
rmarkdown
xlsx
knitr

Suggests

reshape2
qpdf