Faulty EPCs in the SAP Reference Model

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Presentation transcript:

Faulty EPCs in the SAP Reference Model Jan Mendling Vienna University of Economics Michael Moser Vienna University of Economics Gustaf Neumann Vienna University of Economics Boudewijn van Dongen TU Eindhoven Eric Verbeek TU Eindhoven Wil van der Aalst TU Eindhoven

What is happening here?

Agenda EPCs and Errors The SAP Reference Model Finding Errors Results Conclusion

Agenda EPCs and Errors

EPCs as a Process Modeling Language AND Split Join XOR EPC Function Event Activity Pre - & Post condition OR

Problems with Connector Mismatch

The BPM Life cycle

The SAP Reference Model Agenda The SAP Reference Model

The SAP Reference Model About 10,000 information models 5 Hierarchy Levels 29 Branches Various model types: data, organization, processes, etc. 604 EPC business process models

An EPC Business Process Model

Using the SAP Reference Model Change EPC Models Change SAP System

Why Correct EPC Models? Misunderstandings in Teaching Processes Comparing System with existing processes Customization of System

Agenda Finding Errors

How to find errors? Soundness (v.d.Aalst 1997): For every state that is reachable from the start, the end can be reached. If the end is reached, there is no activity still active. All activities can be reached. Relaxed Soundness (Dehnert, Rittgens 2001): Every activity participates in a run from start to end.

Verification Approach

An EPC from the SAP Reference Model

Mapping to YAWL

The resulting YAWL net

Petri Net analysis within WofYAWL

Potential Correction

Agenda Results

Results

Modeling Error 1: Deadlock

Modeling Error 2: Livelock

Why Errors Hypotheses: Model Size Model Complexity Error Patterns Independent variables: Number of each element type Cycles Complexity metrics based on state space Logistic Regression: Explain error (yes/no) Nagelkerke R2: 0.30 and 0.26 in significant models Correct Classification: about 95%

Agenda Conclusion

Conclusion Correctness is an issue in practice Relaxed Soundness as a lower bound At 5.6% of the models with errors Model Complexity matters Closer coupling of process models and enterprise system needed