On the theoretical foundation for data flow analysis in workflow management

Sherry X. Sun, J. Leon Zhao, Jay F Nunamaker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAssociation for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale
Pages1457-1465
Number of pages9
Volume3
Publication statusPublished - 2005
Event11th Americas Conference on Information Systems, AMCIS 2005 - Omaha, NE, United States
Duration: Aug 11 2005Aug 15 2005

Other

Other11th Americas Conference on Information Systems, AMCIS 2005
CountryUnited States
CityOmaha, NE
Period8/11/058/15/05

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Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

Cite this

Sun, S. X., Zhao, J. L., & Nunamaker, J. F. (2005). On the theoretical foundation for data flow analysis in workflow management. In Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale (Vol. 3, pp. 1457-1465)