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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Machine-Assisted Design of Business Process Models Using Descriptor Space Analysis
verfasst von : Maya Lincoln, Mati Golani, Avigdor Gal
Erschienen in: Business Process Management
Verlag: Springer Berlin Heidelberg
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In recent years, researchers have become increasingly interested in developing methods and tools for automating the design of business process models. This work suggests a method for machine-assisted design of new process models, based on business logic that is extracted from real-life process repositories using a linguistic analysis of the relationships between constructs of process descriptors. The analysis enables the construction of a descriptor space in which it is possible to define new process sequences. The suggested method can assist process analysts in designing new business processes while making use of knowledge that is encoded in the design of existing process repositories. To demonstrate the method we developed a software tool (“New Process Design Assistant” - NPDA) that automates the suggested design method. We tested our tool on the Oracle Applications ERP process repository, showing our approach to be effective in enabling the design of new activities within new business process models.