A quality-oriented business process meta-model

F. Heidari, P. Loucopoulos, Z. Kedad

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    12 Citations (Scopus)
    2 Downloads (Pure)

    Abstract

    Business process modeling is an important part of information systems design. Business process modeling techniques provide a standard way of presentation and communication of business processes. One important problem in this context is to assess the quality of business processes as well as their ontological constructs, which raises several issues, such as the identification of business process constructs as well as the quality dimensions and factors relevant to these constructs. In this paper, our goal is twofold. First, we present a business process meta-model containing all possible constructs of a business process. Second, after discussing a set of quality factors suitable for business processes constructs, we present a quality oriented meta-model resulting from the enrichment of the business process meta-model with quality related information
    Original languageEnglish
    Title of host publicationEnterprise and Organizational Modeling and Simulation
    EditorsJ. Barjis, T. Eldabi, A. Gupta
    Place of PublicationBerlin Heidelberg
    PublisherSpringer
    Pages85-99
    Number of pages215
    ISBN (Print)978-3-642-24174-1
    DOIs
    Publication statusPublished - 2011
    Event7th International Workshop on Enterprise and Organizational Modeling and Simulation (EOMAS 2011) - London, United Kingdom
    Duration: 20 Jun 201121 Jun 2011
    Conference number: 7

    Publication series

    NameLecture Notes in Business Information Processing
    Volume88

    Workshop

    Workshop7th International Workshop on Enterprise and Organizational Modeling and Simulation (EOMAS 2011)
    Abbreviated titleEOMAS 2011
    CountryUnited Kingdom
    CityLondon
    Period20/06/1121/06/11
    OtherWorkshop held in conjunction with 23rd International Conference on Advanced Information Systems Engineering (CAiSE '11)

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