On the theoretical foundation for data flow analysis in workflow management

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationAssociation for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale
Pages1457-1465
Volume3
StatePublished - 2005
Externally publishedYes

Publication series

Name
Volume3

Conference

Title11th Americas Conference on Information Systems, AMCIS 2005
PlaceUnited States
CityOmaha, NE
Period11 - 15 August 2005

Abstract

In workflow management, the data flow perspective specifies how data are produced and consumed by activities in a workflow. Data flow analysis can detect data flow anomalies occurring in a workflow while its control flow can be syntactically error-free. Currently, most commercial workflow management systems do not provide the tools for data flow analysis at design time. We have previously proposed a data flow analysis approach and developed the basic concepts and the essential algorithms. As another step forward, this paper examines the issues of data flow anomalies and their verification from a theoretical point of view and validates the correctness of the proposed approach.

Research Area(s)

  • Business process management, Data flow anomalies, Data flow modeling, Data flow verification, Workflow modeling

Citation Format(s)

On the theoretical foundation for data flow analysis in workflow management. / Sun, Sherry X.; Zhao, J. Leon; Nunamaker, Jay F.

Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. Vol. 3 2005. p. 1457-1465.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)