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Automatic business process pattern matching for enterprise services design.

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Show simple item record Gacitua-Decar, Veronica Pahl, Claus 2012-03-15T10:06:36Z 2012-03-15T10:06:36Z 2009
dc.description peer-reviewed en_US
dc.description.abstract Designing the adequate scope and granularity of services is critical for their effective reuse. Patterns at business process level are abstractions of common and reusable designs to operate businesses. Business Process (BP) patterns can capture expert process design knowledge and greatly benefit the design of new enterprise services by guiding the definition of their scope and granularity. Identifying pattern instances in real and large documented business processes is a challenging task, requiring the analysis of the structure, semantics and behaviour associated to process descriptions. In this paper1 we present a solution to identify BP patterns based on a graph matching mechanism. Structural and semantics aspects, including natural language processing, are addressed. The approach moves one step further to increase automation during the design of process-centric enterprise services. We demonstrate the approach, discuss its limitations, novelty and practical benefits by using a case study based on the National Revenue Agency case at SOPOSE08. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation.ispartofseries World Conference on Services;2009 pp. 111-118
dc.rights “© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works en_US
dc.subject computer science en_US
dc.subject software engineering en_US
dc.title Automatic business process pattern matching for enterprise services design. en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI

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