Package: oRus 1.0.0

Melina Vidoni

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.

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

oRus_1.0.0.tar.gz
oRus_1.0.0.tar.gz(r-4.5-noble)oRus_1.0.0.tar.gz(r-4.4-noble)
oRus_1.0.0.tgz(r-4.4-emscripten)oRus_1.0.0.tgz(r-4.3-emscripten)
oRus.pdf |oRus.html✨
oRus/json (API)
NEWS

# Install 'oRus' in R:
install.packages('oRus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/melvidoni/orus/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

openjdk

3.18 score 475 downloads 5 exports 57 dependencies

Last updated 4 years agofrom:81e6458c9c. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linuxNOTEDec 07 2024

Exports:analyseStoriescreateIgnoreWordsexample_storiesreadStoriesreportStories

Dependencies:base64encBHbslibcachemclidigestdplyrevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolsjaneaustenrjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimemodeltoolsNLPpillarpkgconfigpurrrR6rappdirsRcpprJavarlangrmarkdownsassslamSnowballCstringistringrtibbletidyselecttidytexttinytextmtokenizerstopicmodelsutf8vctrswithrxfunxlsxxlsxjarsxml2yaml

How does oRus Works?

Rendered fromworking.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2020-07-07
Started: 2020-07-07

How to use oRus?

Rendered fromexample.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2020-07-07
Started: 2020-07-07

References

Rendered fromreferences.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2020-07-07
Started: 2020-07-07