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ZENODO
Audiovisual . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Audiovisual . 2025
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2025
License: CC BY
Data sources: Datacite
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Stateful Task Reallocation in Action (YAWL)

Authors: Hense, Andreas;

Stateful Task Reallocation in Action (YAWL)

Abstract

This video explores the concept of stateful reallocation as implemented in the Yet Another Workflow Language (YAWL). It addresses scenarios in which a user is unable to complete a task after having already begun execution. In such cases, YAWL allows the task to be reassigned to another user while preserving all intermediate state and data. The video demonstrates how a partially completed work item can be transferred seamlessly between users without loss of progress. A visual example shows one user starting a task and a second user completing it, with the task state fully retained across the reallocation. This capability supports continuity of work in situations such as handovers, interruptions, or changes in personnel. The video is part of the basic YAWL tutorial series, which provides an introduction to the installation, configuration, and use of the YAWL Workflow Management System:https://www.youtube.com/playlist?list=PL4BZgFsmRzfSEP_8nCqHt3N2X_XzRNen2 This video corresponds to Video #80 of the YAWL Series. Supplementary material for this tutorial and related videos is available on GitHub:https://github.com/ahense/YAWL The complete set of materials can be downloaded via “Code → Download ZIP”. The resources relevant to this tutorial are located in the folder corresponding to the tutorial number. From a conceptual perspective, the video relates to the Stateful Reallocation pattern, as documented on the Workflow Patterns website:http://www.workflowpatterns.com/patterns/resource Additional theoretical background is provided in the book Workflow Patterns, published by MIT Press:https://mitpress.mit.edu/9780262029827/workflow-patterns

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average