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Software and Systems Modeling

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01.07.2014 | Theme Section Paper

Multi-perspective enterprise modeling: foundational concepts, prospects and future research challenges

verfasst von: Ulrich Frank

Erschienen in: Software and Systems Modeling | Ausgabe 3/2014

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Abstract

The paper presents a method for multi- perspective enterprise modeling (MEMO) and a corresponding (meta-) modeling environment. An extensive analysis of requirements for enterprise modeling serves to motivate and assess the method. The method is based on an elaborate conception of multi-perspective enterprise models and on an extensible language architecture. The language architecture is comprised of a meta modeling language and an extensible set of integrated domain-specific modeling languages (DSML). The DSML are supplemented with process models and with guidelines for their reflective use. The corresponding modeling environment integrates editors for various DSML into multi-language model editors. It includes a meta model editor which enables the convenient use, development and extension of the set of supported DSML and supports the generation of respective graphical model editors. Thus, it also serves as a foundation for method engineering. MEMO covers both software engineering as well as social, managerial and economic aspects of the firm. The presentation of MEMO is supplemented with a comparative overview of other approaches to enterprise modeling. The paper concludes bys summarizing fundamental technical, epistemological and political challenges for enterprise modeling research and discusses potential paths for future research.

Vorheriger Artikel A case study on consistency management of business and IT process models in banking

Nächster Artikel Extending enterprise architecture modeling languages for domain specificity and collaboration: application to telecommunication service design

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Titel: Multi-perspective enterprise modeling: foundational concepts, prospects and future research challenges
verfasst von: Ulrich Frank
Publikationsdatum: 01.07.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Software and Systems Modeling / Ausgabe 3/2014
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI: https://doi.org/10.1007/s10270-012-0273-9

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