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: 1.1.0
Depends: R (≥ 2.10.0)
Imports: XML, dplyr, purrr, tidyr, tibble, Rcpp (≥ 0.12.15), devtools, R.utils
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2018-06-08
Author: Jonas Lieben
Maintainer: Jonas Lieben <jonas.lieben at uhasselt.be>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: understandBPMN results


Reference manual: understandBPMN.pdf
Package source: understandBPMN_1.1.0.tar.gz
Windows binaries: r-devel: understandBPMN_1.1.0.zip, r-release: understandBPMN_1.1.0.zip, r-oldrel: understandBPMN_1.1.0.zip
OS X binaries: r-release: understandBPMN_1.1.0.tgz, r-oldrel: understandBPMN_1.1.0.tgz
Old sources: understandBPMN archive


Please use the canonical form https://CRAN.R-project.org/package=understandBPMN to link to this page.