Measuring Quantitative Dependability Attributes in Digital Publishing Using Petri Net Workflow Modeling
Gustavo A. Chaparro-Baquero, Nayda G. Santiago, Wilson Rivera, Fernando Vega-Riveros · 2006
This work describes workflow modeling using Workflownets and Generalized Stochastic Petri Nets (GSPN) for the Digital Publishing business process and how the dependability attributes are measured in a quantitative form. In our novel approach, these are measured from the workflow model itself, improving its analysis. Applying these measure concepts to the Digital Publishing pre-press process provides a workflow management based on its trustworthiness. The methodology for workflow modeling is introduced and the results for a case study on the preflight stage of the Digital Publishing workflow are presented.