The document discusses diagnosing and repairing data anomalies in process models. It presents a formalization of BPMN's data aspects using Petri nets to model both control flow and data flow. This allows for detection of data anomalies like deadlocks. Diagnoses involve determining which data tokens are missing based on the deadlock, and repairs include changing data dependencies or synchronizing implicit routing and execution order based on data states. The overall approach presents techniques for detecting, diagnosing, and automatically fixing some data anomalies in process models.

1. Diagnosing and RepairingData Anomalies in Process ModelsAhmed AwadHassoPlattner Institute, Potsdam, GermanyGero Decker HassoPlattner Institute, Potsdam, GermanyNielsLohmann University of Rostock, Germany

2. Correctness of Process Models widely accepted: soundness no deadlocks no livelocks proper termination no dead activities These are control flow aspects! Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

3. Example Process: Insurance Claim Handling sound: every claim will eventually be closed Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

4. Data in BPMN Data objects Data states (no explosion) Object life cycles /control flow refinement Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

5. Process Model with Data This model contains five deadlocks! Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

6. Classes of Errors too restrictive preconditions (close and fraudulent claims) implicit routing (XOR vs. fraud evaluation) implicit execution order (pay vs. file) Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

7. Outline control flow + data flow = interesting problems ✔ formalization BPMN’s data aspects detection, diagnosing, and repairing of data anomalies Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

8. 2 FormalizationBPMN’s dataaspects

9. BPMN and Petri nets BPMN: a graphical notion support of concurrency Petri nets: a graphical notion support of concurrency formal foundation broad tool support Diagnosing and Repairing Data Anomalies in Process Models 07.09.09 Dijkman et al. definePetri net semanticsfor BPMN’s control flow

10. Petri net formalization (control flow) pattern-based translation complete example (control flow): analysis tools can check soundness Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

11. BPMN and Petri nets (2) BPMN: a graphical notion support of concurrency several aspects in one model Petri nets: a graphical notion support of concurrency formal foundation broad tool support simple composition notions Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

12. Formalization of BPMN’s data objects changing a state reading a state changing to several possible states Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

13. Data flow models data flow models for settlement and claim data object control flow model Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

14. Bringing it all together synchronization of data flow and control flow by transition fusion Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

15. 3 Detection,diagnosing,and repair ofdata anomalies

16. Detection of data anomalies standard soundness checker (Woflan, LoLA) will find deadlocks provides counterexample (= trace) does not differentiate data flow and control flow gives no diagnosis/repair information Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

17. Diagnosis data anomalies exploit information on model: control flow is sound place models either control flow or data flow each data object can only be in one state Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

18. Diagnosing and fixing too restrictive preconditions Problem: if data is set to [a], activity B is disabled Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

19. Diagnosing and fixing too restrictive preconditions control flow is sound deadlock in composite model: missing data tokens for each deadlock: determine missing data tokens change model data tokens are present, or drop data dependency Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

20. Diagnosing and fixing implicit routing decision [b] vs. [c] has to be synchronized with XOR-split Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

21. Diagnosing and fixing implicit routing partition state space with respect to data states if a decision inside a partition leads to a deadlock, this decision is “unsynchronized” synchronize decisions according to data Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

22. Diagnosing and fixing implicit execution order transitions A and B are in concurrent the control flow model,but share data place Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

23. Take home points data objects can introduce errors to a model Petri nets allow for compositional models of data and control flow data anomalies can be detected, diagnosed,and (sometimes) automatically fixed Future work: automated mapping back to the BPMN model Diagnosing and Repairing Data Anomalies in Process Models 07.09.09

24. Final slide Thank you for your attention! Your todos: discuss with me talk to Ahmed and Gero attend the soundness talk(Thursday, after the keynote) get the slides athttp://slideshare.net/correctsystems Diagnosing and Repairing Data Anomalies in Process Models 07.09.09