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    A Domain-specific Rule Generation Using Model-Driven Architecture in Controlled Variability Model


    Mani, Neel and Helfert, Markus and Pahl, Claus (2017) A Domain-specific Rule Generation Using Model-Driven Architecture in Controlled Variability Model. Procedia Computer Science, 112. pp. 2354-2362. ISSN 1877-0509

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    Abstract

    The business environment changes rapidly and needs to adapt to the enterprise business systems must be considered for new types of requirements to accept changes in the business strategies and processes. This raises new challenges that the traditional development approaches cannot always provide a complete solution in an efficient way. However, most of the current proposals for automatic generation are not devised to cope with rapid integration of the changes in the business requirement of end user (stakeholder’s and customer’s) resource. Domain-specific Rules constitute a key element for domain specific enterprise application, allowing configuration of changes, and management of the domain constraint within a domain. In this paper, we propose an approach to the development of an automatic generation of the domain-specific rules by using variability feature model and ontology definition of domain model concepts coming from Software product line engineering and Model Driven Architecture. We provide a process approach to generate a domain-specific rule based on the end user requirement.

    Item Type: Article
    Additional Information: This paper was presented at the International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES2017, 6-8 September 2017, Marseille, France.
    Keywords: Rule Generation; Domain-specific rules; Business Process Model; Variability Model; Model Driven Architecture;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 12091
    Identification Number: https://doi.org/10.1016/j.procs.2017.08.206
    Depositing User: Markus Helfert
    Date Deposited: 07 Jan 2020 17:28
    Journal or Publication Title: Procedia Computer Science
    Publisher: Elsevier
    Refereed: Yes
    URI:

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