Diagnosing and repairing data anomalies in process models

A. Awad; G. Decker; N. Lohmann

doi:10.1007/978-3-642-12186-9_2

Diagnosing and repairing data anomalies in process models

A. Awad
, G. Decker
, N. Lohmann

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

64 Citations (Scopus)

Abstract

When using process models for automation, correctness of the models is a key requirement. While many approaches concentrate on control flow verification only, correct data flow modeling is of similar importance. This paper introduces an approach for detecting and repairing modeling errors that only occur in the interplay between control flow and data flow. The approach is based on place/transition nets and detects anomalies in BPMN models. In addition to the diagnosis of the modeling errors, a subset of errors can also be repaired automatically.

Original language	English
Title of host publication	Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers)
Editors	S. Rinderle-Ma, S. Sadiq, F. Leymann
Place of Publication	Berlin
Publisher	Springer
Pages	5-16
ISBN (Print)	978-3-642-12185-2
DOIs	https://doi.org/10.1007/978-3-642-12186-9_2
Publication status	Published - 2010

Publication series

Name	Lecture Notes in Business Information Processing
Volume	43
ISSN (Print)	1865-1348

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10.1007/978-3-642-12186-9_2

Cite this

Awad, A., Decker, G., & Lohmann, N. (2010). Diagnosing and repairing data anomalies in process models. In S. Rinderle-Ma, S. Sadiq, & F. Leymann (Eds.), Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers) (pp. 5-16). (Lecture Notes in Business Information Processing; Vol. 43). Springer. https://doi.org/10.1007/978-3-642-12186-9_2

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Awad, A, Decker, G & Lohmann, N 2010, Diagnosing and repairing data anomalies in process models. in S Rinderle-Ma, S Sadiq & F Leymann (eds), Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers). Lecture Notes in Business Information Processing, vol. 43, Springer, Berlin, pp. 5-16. https://doi.org/10.1007/978-3-642-12186-9_2

Diagnosing and repairing data anomalies in process models. / Awad, A.; Decker, G.; Lohmann, N.
Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers). ed. / S. Rinderle-Ma; S. Sadiq; F. Leymann. Berlin: Springer, 2010. p. 5-16 (Lecture Notes in Business Information Processing; Vol. 43).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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N2 - When using process models for automation, correctness of the models is a key requirement. While many approaches concentrate on control flow verification only, correct data flow modeling is of similar importance. This paper introduces an approach for detecting and repairing modeling errors that only occur in the interplay between control flow and data flow. The approach is based on place/transition nets and detects anomalies in BPMN models. In addition to the diagnosis of the modeling errors, a subset of errors can also be repaired automatically.

AB - When using process models for automation, correctness of the models is a key requirement. While many approaches concentrate on control flow verification only, correct data flow modeling is of similar importance. This paper introduces an approach for detecting and repairing modeling errors that only occur in the interplay between control flow and data flow. The approach is based on place/transition nets and detects anomalies in BPMN models. In addition to the diagnosis of the modeling errors, a subset of errors can also be repaired automatically.

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Awad A, Decker G, Lohmann N. Diagnosing and repairing data anomalies in process models. In Rinderle-Ma S, Sadiq S, Leymann F, editors, Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers). Berlin: Springer. 2010. p. 5-16. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-642-12186-9_2

Diagnosing and repairing data anomalies in process models

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