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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.
Package details |
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Author | Melina Vidoni [aut, cre] (<https://orcid.org/0000-0002-4099-1430>), Laura Cunico [aut] |
Maintainer | Melina Vidoni <melina.vidoni@rmit.edu.au> |
License | GPL-3 |
Version | 1.0.0 |
URL | https://github.com/melvidoni/oRus |
Package repository | View on CRAN |
Installation |
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