Paper Title:
Dataflow Errors Detection in Business Process Model
  Abstract

Despite the abundance of analysis techniques to discover control-flow errors in workflow designs, there is hardly any support for data-flow verification. Most techniques simply abstract from data while data dependencies can be the source of all kinds of errors. This paper focuses on the discovery of data-flow errors in workflows. There are many issues in the dataflow, like Redundant Data, Lost Data, Missing Data, Mismatched data, Inconsistent data, and Misdirected data. We present an analysis approach that uses so called “The RWD Boolean Table Technique” expressed in steps, I Split dataflow from control flow; II Create Boolean table for each data element/s; III Make comparative between RWD Boolean table for current task and next task until get the end of workflow; Typical errors include dataflow issue, like redundant Data, lost Data and missing Data.

  Info
Periodical
Edited by
Han Zhao
Pages
1765-1769
DOI
10.4028/www.scientific.net/AMM.130-134.1765
Citation
A. E. Rgibi, S. Z. Yao, J. J. Xu, "Dataflow Errors Detection in Business Process Model", Applied Mechanics and Materials, Vols. 130-134, pp. 1765-1769, 2012
Online since
October 2011
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Price
$32.00
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