This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling:
* the 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021, and
* the 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021.
The conferences were planned to take place in Melbourne, Australia, during June 28–29, 2021, but changed to an online format due to the COVID-19 pandemic.
For BPMDS 10 full papers and 1 short paper were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 13 full papers and 1 short paper were accepted from 34 submissions.
The papers were organized in topical sections as follows:
BPMDS: Improving event data quality in coherence with business requirements; enhancing the value of data in processesimprovement; event stream and predictive monitoring; modeling languages and reference models;
EMMSAD: Enterprise modeling; handling models and modeling methods; threat and evidence modeling; and model-driven engineering and applications.
This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling:
* the 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021, and
* the 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021.
The conferences were planned to take place in Melbourne, Australia, during June 28–29, 2021, but changed to an online format due to the COVID-19 pandemic.
For BPMDS 10 full papers and 1 short paper were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 13 full papers and 1 short paper were accepted from 34 submissions.
The papers were organized in topical sections as follows:
BPMDS: Improving event data quality in coherence with business requirements; enhancing the value of data in processes improvement; event stream and predictive monitoring; modeling languages and reference models;
EMMSAD: Enterprise modeling; handling models and modeling methods; threat and evidence modeling; and model-driven engineering and applications.
