Application and Testing of Business Processes in the Energy Domain
Abstract
The energy domain currently struggles with radical legal and technological changes, such as, smart meters. This results in new use cases which can be implemented based on business process technology. Understanding and automating business processes requires to model and test them. However, existing process testing approaches frequently struggle with the testing of process resources, such as ERP systems, and negative testing. Hence, this work presents a toolchain which tackles that limitations. The approach uses an open source process engine to generate event logs and applies process mining techniques in a novel way.
Top- Böhmer, Kristof
- Stertz, Florian
- Hildebrandt, Tobias
- Rinderle-Ma, Stefanie
- Eibl, Günther
- Ferner, Cornelia
- Burkhart, Sebastian
- Engel, Dominik
Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings |
Event Title |
Big Data Management Systems in Business and Industrial Applications 2017 |
Divisions |
Workflow Systems and Technology |
Subjects |
Angewandte Informatik |
Event Location |
Stuttgart, Germany |
Event Type |
Workshop |
Event Dates |
6-10 Mar 2017 |
Date |
March 2017 |
Export |