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Modeling Complex Information Systems

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Perspectives on the Future of Software Engineering

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Abstract

We are living in an information society. For us it is normal to access relevant information almost immediately. In our world, information systems play an important role in our private as well as in our professional lives. When selecting or developing such systems, especially complex ones, we need to understand and model the requirements on these systems. This paper deals with the modeling of complex information systems. We show which requirements concepts could be modeled, but also argue that it is not necessary to model all concepts. We show empirical studies that make us believe that further empirical research is needed in order to know which requirements concepts are most relevant. Current challenges as well as future challenges with regard to information system modeling are outlined.

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Acknowledgments

We would like to sincerely thank Dieter Rombach for inspiring our RE work. Especially in the area of non-functional requirements, Dieter Rombach has been the author’s advisor for this topic. The software engineering fundamentals and the foundations for empirical work he established also had a fundamental influence on the research described in this paper. We would furthermore like to thank all members of the Fraunhofer IESE Requirements Engineering team who performed research on the topics described in this paper together with the author during the last decade.

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Authors and Affiliations

  1. Fraunhofer IESE, Fraunhofer-Platz 1, Kaiserslautern, 67663, Germany

    Joerg Doerr

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  1. Joerg Doerr
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Correspondence to Joerg Doerr .

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Editors and Affiliations

  1. , Dept. of Computer Science, University of Helsinki, Gustav Hällströmin katu 2b, Helsinki, 00014, Finland

    Jürgen Münch

  2. Institut für Informatik, Universität Hildesheim, Samelsonplatz 1, Hildesheim, 31141, Germany

    Klaus Schmid

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Doerr, J. (2013). Modeling Complex Information Systems. In: Münch, J., Schmid, K. (eds) Perspectives on the Future of Software Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37395-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-37395-4_7

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  • Online ISBN: 978-3-642-37395-4

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