Towards Auto-Suggested Process Modeling – Prototypical Development of an Auto-Suggest Component for Process Modeling Tools
Clever Nico, Holler Justus, Shitkova Maria, Becker Jörg
Abstract
Companies have accepted process modeling as a powerful instrument for business reorganization, requirements specification in software development, knowledge management and other activities. Huge amounts of processes are being modeled in organizations nowadays. However, the re-use of existing process knowledge in order to simplify the modeling process has not yet been thoroughly studied and applied. We propose an auto-suggest component for process modeling tools, which, based on existing process knowledge, “auto-suggests” the process model elements step-by-step, thus saving the modeler time and effort.
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2013
Conference
5th International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA 2013)
Venue
St. Gallen, Schweiz
Start page
133
End page
145
Language
English