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understandBPMN: Calculator of Understandability Metrics for BPMN

Calculate several understandability metrics of BPMN models. BPMN stands for business process modelling notation and is a language for expressing business processes into business process diagrams. Examples of these understandability metrics are: average connector degree, maximum connector degree, sequentiality, cyclicity, diameter, depth, token split, control flow complexity, connector mismatch, connector heterogeneity, separability, structuredness and cross connectivity. See R documentation and paper on metric implementation included in this package for more information concerning the metrics.

Version:1.1.1
Depends:R (≥ 2.10.0)
Imports:XML,dplyr,purrr,tidyr,tibble,Rcpp (≥ 0.12.15),devtools,usethis,R.utils
LinkingTo:Rcpp
Suggests:knitr,rmarkdown,testthat
Published:2019-09-27
DOI:10.32614/CRAN.package.understandBPMN
Author:Jonas Lieben [aut], Gert Janssenswillen [cre]
Maintainer:Gert Janssenswillen <gert.janssenswillen at uhasselt.be>
License:MIT + fileLICENSE
NeedsCompilation:yes
Materials:NEWS
CRAN checks:understandBPMN results

Documentation:

Reference manual:understandBPMN.html ,understandBPMN.pdf

Downloads:

Package source: understandBPMN_1.1.1.tar.gz
Windows binaries: r-devel:understandBPMN_1.1.1.zip, r-release:understandBPMN_1.1.1.zip, r-oldrel:understandBPMN_1.1.1.zip
macOS binaries: r-release (arm64):understandBPMN_1.1.1.tgz, r-oldrel (arm64):understandBPMN_1.1.1.tgz, r-release (x86_64):understandBPMN_1.1.1.tgz, r-oldrel (x86_64):understandBPMN_1.1.1.tgz
Old sources: understandBPMN archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=understandBPMNto link to this page.


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