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2007
Springer

Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems

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Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM to run-time paths to highlight repeating sequences of interest by using alternative support counting techniques. We show how the patterns identified, can be used to highlight design flaws in enterprise applications. We also discuss some algorithm scalability problems related to applying FSM to run-time paths and give solutions to these issues.
Trevor Parsons, John Murphy, Patrick O'Sullivan
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MLDM
Authors Trevor Parsons, John Murphy, Patrick O'Sullivan
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