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