ProMoEE - A Lightweight Web Editor Supporting Study Research on Process Models

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Abstract

Process models are not only used for the sole documentation of the numerous processes in an organization. Among others, they are essential artifacts in the context of service-oriented computing. Hence, high quality process models are the enabler for streamlining, prediction, and automation in many fields (e.g., industrial production). Therefore, a proper and effective comprehension of process models and knowledge about factors influencing the creation of such models constitutes a key criterion for this endeavor. The collection and analysis of data in scientific studies help to understand the objective and subjective factors influencing process model creation and comprehension. This work presents an editor for the definition, execution, and analysis of studies in the context of process model creation and comprehension. The editor features a clean design and allows for a fast implementation for conducting and reporting study research, while ensuring the collection of high-quality data.

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Winter, M., Pryss, R., & Reichert, M. (2020). ProMoEE - A Lightweight Web Editor Supporting Study Research on Process Models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12019 LNCS, pp. 289–293). Springer. https://doi.org/10.1007/978-3-030-45989-5_25

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