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understandBPMN  

Calculator of Understandability Metrics for BPMN
View on CRAN: Click here


Download and install understandBPMN package within the R console
Install from CRAN:
install.packages("understandBPMN")

Install from Github:
library("remotes")
install_github("cran/understandBPMN")

Install by package version:
library("remotes")
install_version("understandBPMN", "1.1.1")



Attach the package and use:
library("understandBPMN")
Maintained by
Gert Janssenswillen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-14
Latest Update: 2019-09-27
Description:
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.
How to cite:
Gert Janssenswillen (2018). understandBPMN: Calculator of Understandability Metrics for BPMN. R package version 1.1.1, https://cran.r-project.org/web/packages/understandBPMN. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:57), 1.0.0 (2018-03-14 14:24), 1.1.0 (2018-06-08 17:15), 1.1.1 (2019-09-27 13:30)
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Complete documentation for understandBPMN
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