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

Peer review:

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

5 exports 0.00 score 57 dependencies 357 downloads

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

Exports:analyseStoriescreateIgnoreWordsexample_storiesreadStoriesreportStories

Dependencies:base64encBHbslibcachemclidigestdplyrevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolsjaneaustenrjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimemodeltoolsNLPpillarpkgconfigpurrrR6rappdirsRcpprJavarlangrmarkdownsassslamSnowballCstringistringrtibbletidyselecttidytexttinytextmtokenizerstopicmodelsutf8vctrswithrxfunxlsxxlsxjarsxml2yaml