172 citations · 370 across the 39 of their papers we have counts for
14 papers · 1 filter
XABPs: Towards eXplainable Autonomous Business Processes
Peter Fettke, Fabiana Fournier, Lior Limonad +3
Autonomous business processes (ABPs), i.e., self-executing workflows leveraging AI/ML, have the potential to improve operational efficiency, reduce errors, lower costs, improve res…
From Internet of Things Data to Business Processes: Challenges and a Framework
Juergen Mangler, Ronny Seiger, Janik-Vasily Benzin +12
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing and healthcare. The IoT community has a strong focus on…
Code Generation for Machine Learning using Model-Driven Engineering and SysML
Simon Raedler, Matthias Rupp, Eugen Rigger +1
Data-driven engineering refers to systematic data collection and processing using machine learning to improve engineering systems. Currently, the implementation of data-driven engi…
Model-Driven Engineering Method to Support the Formalization of Machine Learning using SysML
Simon Raedler, Juergen Mangler, Stefanie Rinderle-Ma
Methods: This work introduces a method supporting the collaborative definition of machine learning tasks by leveraging model-based engineering in the formalization of the systems m…
Responsible Composition and Optimization of Integration Processes under Correctness Preserving Guarantees
Daniel Ritter, Fredrik Nordvall Forsberg, Stefanie Rinderle-Ma
Enterprise Application Integration deals with the problem of connecting heterogeneous applications, and is the centerpiece of current on-premise, cloud and device integration scena…
SensorStream: An XES Extension for Enriching Event Logs with IoT-Sensor Data
Joscha Grüger, Lukas Malburg, Juergen Mangler +4
Process management and process orchestration/execution are currently hot topics; prevalent trends such as automation and Industry 4.0 require solutions which allow domain-experts t…