Pragmatic quality addresses the extent to which a model supports its usage for purposes such as understanding behavior and system development.
Syntactic and semantic quality relate to model construction and address the correct use of the modeling language and the extent to which the model truthfully represents the real-world behavior, respectively. However, actual process models display a wide range of problems falling into the quality dimensions of syntactic, semantic, and pragmatic quality of a model .
It lays the foundations for future research that may unveil how high-quality process models can be established through better modeling support and modeling instruction.Ĭonsidering the intense usage of business process modeling in all types of business contexts, the relevance of process models has become obvious. Based thereupon, we propose a model that captures our insights. Further, we investigated how both task- and modeler-specific factors influence particular aspects of those modeling styles. We conducted a cluster analysis on this data and identified three distinct styles of modeling. In these sessions, the act of model creation, i.e., the PPM, was automatically recorded. We report on two large-scale modeling sessions involving 115 students. Our work contributes to this stream of research and presents an explorative analysis of the process of process modeling (PPM). Only recently, the process of model creation is considered as a factor that influences the resulting model’s quality.
For many years, such quality aspects were investigated by centering on the properties of the model artifact itself. As with every type of conceptual model, a business process model has to meet certain syntactic, semantic, and pragmatic quality requirements to be of value. Business process models are an important means to design, analyze, implement, and control business processes.
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