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.


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Reference manual

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install.packages("oRus")

1.0.0 by Melina Vidoni, 4 months ago


https://github.com/melvidoni/oRus


Report a bug at https://github.com/melvidoni/oRus/issues


Browse source code at https://github.com/cran/oRus


Authors: Melina Vidoni [aut, cre] , Laura Cunico [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, stringr, tm, tibble, tidytext, topicmodels, rmarkdown, xlsx, knitr

Suggests reshape2, qpdf


See at CRAN