
handle: 11581/466792
BPMN models are often used by researchers to illustrate and validate new approaches that operate over such models. However, not always models are distributed in their source format but they are distributed as images within a document (e.g., a scientific contribution). To actually reuse those models, one has to manually redraw them. Manually redrawing a BPMN model is a time-consuming and error-prone activity. In this work, we present BPMN-Redrawer a tool that makes use of machine learning techniques for supporting the redrawing of BPMN models from images to actual models in .bpmn format. The tool is made available open source and it is open to contribution from the community.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
