Data-Flow Anti-Patterns: Discovering Dataflow Errors in Workflows

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Provided by: Eindhoven University of Technology
Topic: Big Data
Format: PDF
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. The authors present an analysis approach that uses so-called \"Anti-patterns\" expressed in terms of a temporal logic. Typical errors include accessing a data element that is not yet available or updating a data element while it may be read in a parallel branch.
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