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 | 
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