The Process of Process Modeling

Process modeling has gained increasing importance for documenting business operations and automating workflow execution. However, process models display a wide range of quality problems impeding their comprehensibility and consequently hampering their maintainability. Literature reports, for example, error rates between 10% and 20% in industrial process model collections. Moreover, non-intention-revealing or inconsistent naming, redundant process fragments, and overly large and unnecessarily complex process models are typical quality problems which can be observed in existing process model collections. These problems have resulted in vivid research with the goal of obtaining a better understanding of factors influencing the quality of process models.

Existing research mostly focuses on the product or outcome of process modeling. In constrast, our research aims at taking a closer look on how process models are created which we call the process of process modeling. Obviously , factors influencing this process of process modeling eventually have an impact on the quality of its outcome (i.e., the resulting process model) and the incurred cost of its creation.

In this context we are closely collaborating with different partners from other universities word-wide. One of our longest lasting cooperation partners, with whom we are taking a closer look at the process of process modeling, is Prof. Hajo A. Reijers (Eindhoven University of Technology, the Netherlands). Since 2010 we jointly conducted modeling sessions with 400 students and organized modeling sessions with experts from industry and academia to better understand how business process models are created. We are proud to announce that Hajo will report on some of the findings obtained so far in his keynote on the process of process modeling at CONFENIS 2012. We are looking forward to further exciting years of interesting findings and puzzling problems to solve.

 

Links

Hajo A. Reijers
Process of Process Modeling
Nautilus