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    Business process model customisation using domain-driven controlled variability management and rule generation


    Mani, Neel, Helfert, Markus and Pahl, Claus (2016) Business process model customisation using domain-driven controlled variability management and rule generation. International Journal on Advances in Software, 9 (3&4). pp. 179-190. ISSN 1942-2628

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    Abstract

    Business process models are abstract descriptions and as such should be applicable in different situations. In order for a single process model to be reused, we need support for configuration and customisation. Often, process objects and activities are domain-specific. We use this observation and allow domain models to drive the customisation. Process variability models, known from product line modelling and manufacturing, can control this customisation by taking into account the domain models. While activities and objects have already been studied, we investigate here the constraints that govern a process execution. In order to integrate these constraints into a process model, we use a rule-based constraints language for a workflow and process model. A modelling framework will be presented as a development approach for customised rules through a feature model. Our use case is content processing, represented by an abstract ontology-based domain model in the framework and implemented by a customisation engine. The key contribution is a conceptual definition of a domain-specific rule variability language.
    Item Type: Article
    Keywords: Business Process Modelling; Process Customisation; Process Constraints; Domain Model; Variability Model; Constraints Rule Language; Rule Generation;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 12102
    Depositing User: Markus Helfert
    Date Deposited: 07 Jan 2020 17:39
    Journal or Publication Title: International Journal on Advances in Software
    Publisher: IARIA
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/12102
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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