Dataflow Errors Detection in Business Process Model

Abstract:

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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 et al., "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:

$35.00

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