ReadMe.md

In bupaverse/understandBPMN: Calculator of Understandability Metrics for BPMN

This package is written to calculate several understandability metrics of a BPMN model using R and to test whether a relationship is possible in a BPMN model

See R documentation and paper on metric implementation for more information concerning this package.

Metrics which can be calculated:

• Size (function size_bpmn())
• Number of empty sequence flows (function empty_sequence_flows(doc))
• Number of duplicate tasks (function duplicate_tasks())
• Number of pools (function pools())
• Number of data objects (function data_objects())
• Number of swimlanes (function swimlanes())
• Number of message flows (function message_flows())
• Density (function density_bpmn())
• Coefficient of network connectivity (function coefficient_network_connectivity())
• Average connector degree (function avg_connector_degree())
• Maximum connector degree (function max_connector_degree())
• Sequentiality (function sequentiality())
• Cyclicity (function cyclicity())
• Diameter (function diameter())
• Depth (function depth())
• Token split (function token_split())
• Control flow complexity (function control_flow_complexity())
• Connector mismatch (function connector_mismatch())
• Connector heterogeneity (function connector_heterogeneity())
• Separability (function separability())
• Structuredness (function structuredness())
• Cross Connectivity (function cross_connectivity())
• Extended cyclomatic metric of McCabe(function cyclomatic_metric())

bupaverse/understandBPMN documentation built on Nov. 4, 2019, 8:20 a.m.