On the Need for Intellectual Property Protection in Model-Driven Co-Engineering Processes
We live in an increasingly complex world where all systems tend to include heterogeneous and interconnected components. To cope...
DevOps Competences and Maturity for Software Producing Organizations
Software producing organizations aim to release high quality software faster, which triggers the adoption of DevOps. However, not many...
Dynamic Adaptation of Capabilities: Exploring Meta-model Diversity
Environmental dynamism is constantly gaining ground as a driving force for enterprise transformation. The enterprise capabilities need to adapt...
Mining Expressive and Executable Resource-Aware Imperative Process Models
Process mining extracts relevant information on executed business processes from historical data stored in event logs. The data typically...
An Integrated Architecture for IoT-Aware Business Process Execution
Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the...
Flexibility in Business Process Modeling to Deal with Context-Awareness in Business Process Reengineering Projects
Current research on Business Process Management (BPM) outlines the importance of Business Process Reengineering (BPR) operations for business improvements’...
Business Process Canvas as a Process Model in a Nutshell
The paper suggests using a business process canvas as a model of a process in a nutshell that presents...
Identifying Candidate Tasks for Robotic Process Automation in Textual Process Descriptions
The continuous digitization requires organizations to improve the automation of their business processes. Among others, this has lead to...
Toward an Automated Labeling of Event Log Attributes
Process mining aims at exploring the data produced by executable business processes to mine the underlying control-flow and data-flow....
Specification-Driven Multi-perspective Predictive Business Process Monitoring
Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction...
