Master's thesis, University of Innsbruck, Institute of Computer Science, 2013.
Abstract. Business process modeling widely is used as a tool to represent business processes in a formal and generic way in today's industries and organizations. Various different tools and solutions are readily available, which enable the creation and management of business process models. However, much fewer research has been done in the area of how these business process models are created, and how the process of creating process models can be improved even further. To analyze the process of process modeling in more detail, Cheetah Experimental Platform has been developed. It records each and every step of a modeling session, and can replay the whole creation process later on. A detailed analysis of all the changes performed by the user can give more insight into how process models evolve over time. Meanwhile, more and more tools enable the collaborative creation of business process models. This gives a whole group of users the possibility to work together on a process model and thereby presumably improving the overall quality of the model, since it is easier to have all the needed domain experts involved in the creation of a process model. In analogy to the single user setting, there is still a lack of research on how process models can effectively be created collaboratively. This motivated extending Cheetah Experimental Platform to allow a group of users to create a model collaboratively, while recording every change to the model for later analysis. This will give more insight into the process of collaborative process modeling and thus help developing new and better tools for collaborative modeling. We therefore extended Cheetah Experimental Platform to add support for collaborative modeling. Our extensions should make it easy for a group of modelers to work together and create a process model collaboratively. We focused on providing the users with a convenient built-in solution for communication and presenting them with additional information supporting the efficient collaborative creation of process models. Finally, the resulting implementation was evaluated using the Technology Acceptance Model, in order to assess it's perceived ease of use and perceived usefulness.
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