Fouille de workflow Découverte de patrons de workflows par l'analyse des traces d'exécution

Abstract : Continuous and unforseeable evolution of business rules, processing logics, and organisational structures within enterprises, requires from business process management systems to integrate continuous design. Supporting business process rediscovery based on workflow logs analysis, Workflow mining gathers retroactive (re)design techniques necessary to understand business process execution reality. Our workflow mining approach describes a statistical technique to discover workflow patterns from event-based log. It is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. The local discovered workflow patterns are then composed iteratively until discovering the global workflow model. The analysis of the disparities between the discovered model and the initially designed model enables us to be detect initial design gaps that can used in reengineering process. Our approach has been implemented within our prototypeWork°owMiner and a ProM framework plug-in.
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Journal articles
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https://hal.inria.fr/inria-00540884
Contributor : Claude Godart <>
Submitted on : Monday, November 29, 2010 - 2:10:36 PM
Last modification on : Thursday, February 7, 2019 - 3:23:59 PM

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  • HAL Id : inria-00540884, version 1

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Claude Godart, Karim Baïna, Walid Gaaloul. Fouille de workflow Découverte de patrons de workflows par l'analyse des traces d'exécution. Revue des Sciences et Technologies de l'Information - Série TSI : Technique et Science Informatiques, Lavoisier, 2010, 29 (10). ⟨inria-00540884⟩

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