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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | dplyr,stringr,tm,tibble,tidytext,topicmodels,rmarkdown,xlsx,knitr |
| Suggests: | reshape2,qpdf |
| Published: | 2020-07-07 |
| DOI: | 10.32614/CRAN.package.oRus |
| Author: | Melina Vidoni [aut, cre], Laura Cunico [aut] |
| Maintainer: | Melina Vidoni <melina.vidoni at rmit.edu.au> |
| BugReports: | https://github.com/melvidoni/oRus/issues |
| License: | GPL-3 |
| URL: | https://github.com/melvidoni/oRus |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | oRus results |
Documentation:
| Reference manual: | oRus.html ,oRus.pdf |
| Vignettes: | How to use oRus? (source,R code) References (source,R code) How does oRus Works? (source,R code) |
Downloads:
| Package source: | oRus_1.0.0.tar.gz |
| Windows binaries: | r-devel:oRus_1.0.0.zip, r-release:oRus_1.0.0.zip, r-oldrel:oRus_1.0.0.zip |
| macOS binaries: | r-release (arm64):oRus_1.0.0.tgz, r-oldrel (arm64):oRus_1.0.0.tgz, r-release (x86_64):oRus_1.0.0.tgz, r-oldrel (x86_64):oRus_1.0.0.tgz |
Linking:
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