@inproceedings{8d35795b789c4171b5e1ebc7d88a9136,
title = "On the theoretical foundation for data flow analysis in workflow management",
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.",
keywords = "Business process management, Data flow anomalies, Data flow modeling, Data flow verification, Workflow modeling",
author = "Sun, {Sherry X.} and Zhao, {J. Leon} and Nunamaker, {Jay F.}",
year = "2005",
language = "English (US)",
isbn = "9781604235531",
series = "Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale",
pages = "1457--1465",
booktitle = "Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005",
note = "11th Americas Conference on Information Systems, AMCIS 2005 ; Conference date: 11-08-2005 Through 15-08-2005",
}