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 |
Documentation:
Downloads:
Linking:
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