Lisa Arnold

Orcid: 0000-0002-2358-2571

Affiliations:
  • Ulm University, Institute of Databases and Information Systems, Germany


According to our database1, Lisa Arnold authored at least 12 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Discovering Process Models of Different Granularity from Legacy Software Systems (short paper).
Proceedings of the 15th ZEUS Workshop, Hannover, Germany, February 16-17, 2023., 2023

Towards Progress Determination in Dynamically Evolving Large Process Structures (short paper).
Proceedings of the 15th ZEUS Workshop, Hannover, Germany, February 16-17, 2023., 2023

Data-Driven Customization of Object Lifecycle Processes.
Proceedings of the 25th IEEE Conference on Business Informatics, 2023

Monitoring Object-Centric Business Processes: An Empirical Study.
Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023

2022
Towards Retrograde Process Analysis in Running Legacy Applications (short paper).
Proceedings of the 14th Central European Workshop on Services and their Composition (ZEUS 2022), 2022

Enabling Conformance Checking for Object Lifecycle Processes.
Proceedings of the Research Challenges in Information Science, 2022

Progress Determination of a BPM Tool with Ad-Hoc Changes: An Empirical Study.
Proceedings of the Research Challenges in Information Science, 2022

Deriving Event Logs from Legacy Software Systems.
Proceedings of the Process Mining Workshops, 2022

Data-Driven Evolution of Activity Forms in Object- and Process-Aware Information Systems.
Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

2021
A Dashboard-based Approach for Monitoring Object-Aware Processes.
Proceedings of the 13th European Workshop on Services and their Composition (ZEUS 2021), 2021

Towards Real-Time Progress Determination of Object-Aware Business Processes.
Proceedings of the 13th European Workshop on Services and their Composition (ZEUS 2021), 2021

A One-Dimensional Kalman Filter for Real-Time Progress Prediction in Object Lifecycle Processes.
Proceedings of the 25th International Enterprise Distributed Object Computing Workshop, 2021


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