Automatic detection of process labeling styles and modeling support through modeling recommendations

The semantic quality of process models is influenced, among others, by the quality of process labels (i.e., the label or name of a graphical construct) as these process labels convey the meaning of the graphical constructs and thus the meaning of the process model. The quality of process labels is determined, for instance, by the label style, label length, and the degree of detail provided by the label.

In the masterthesis “Automatic detection of process labeling styles and modeling support through modeling recommendations” a system that focuses on the quality of process labels was designed. Following the design science research paradigm, a system was created that is, first, able to automatically detect the label styles of process labels (detection engine). Second, based on process labels, the system identifies modeling weaknesses and provides recommendations on how to best address the identified weaknesses (recommendation engine). Overall, the system provides recommendations for seven modeling errors.

Material

Process labels used for the evaluation of the detection engine and recommendation engine: Download.