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 |
| 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: understandBPMN_1.1.1.tgz, r-oldrel: understandBPMN_1.1.1.tgz |
| Old sources: | understandBPMN archive |
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