The design of a “good” business process model is a time-consuming and error-prone task and requests high training effort from the process modeler. These barriers might be a reason why business processes are often designed with software tools, which were not intentionally developed for this purpose, but are highly familiar for the process modeler (e.g., add-ins for MS Office family) and thus a p...

E-Learning tools facilitate asynchronous (e.g., wiki) and synchronous (e.g., video-conferencing) learning. They may provide a cost effective way to train large numbers of people in global settings to leverage complex technologies such as Unified Modeling Language (UML) tools. Few industrial experiences from the use of e-Learning tools to train complex technologies have been reported. It is uncl...

Despite the development of many modeling formalisms and model solution methods, most tool implementations support only a single formalism. Furthermore, models expressed in the chosen formalism cannot be combined with models expressed in other formalisms. This monolithic approach both limits the usefulness of such tools to practitioners, and hampers modeling research, since it is difficult to co...

Coordination in SOA addresses dynamic topologies of interactions among services. Most efforts up to now have been focused on statically defined composition of services, e.g., using BPEL. To the best of our knowledge, there are no serious means to address the issues of dynamic coordination to accommodate continuously changing requirements. While BPEL is a powerful standard for service compositio...

This paper is a small tutorial on tool building with Fujaba. With the help of a small case study, we exemplify how the different requirements of an environment for a visual language may be addressed using Fujaba graph transformations. This covers abstract and concrete syntax, static and operational semantics, and model transformations. This case study shows, how the more sophisticated language ...

We developed a novel approach in the field of spatiotemporal modeling, based on spatialisation time, Timescape algorithm. It is especially aimed at sparsely distributed datasets ecological research, whose spatial and temporal variability strongly entangled. The algorithm definition distance that incorporates causality constraint capable accommodating seasonal behavior modeled variable as well. ...