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 + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: understandBPMN results


Reference manual: understandBPMN.pdf


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


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