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Design and Ex ante Evaluation of an Architecture for Self-adaptive Model-Based DSS

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 746))

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Abstract

The quality of the decision support of a model-based Decision Support System (DSS) is fundamentally dependent on valid and actual models. A changing business environment can affect the validity of model components which could cause an incorrect model output. This problem is addressed in this paper by focusing on the self-adaptive property as a potential approach. To provide a model for decision support as close as possible to a dynamic business environment, the principles of self-adaptive systems are considered in an interconnected Model-/System-Controller (MoSyCo) architecture which is designed around DSS models. The design of the artifact is driven by a deduction of the problem characteristics to specify components of the intended architecture. The ex ante design evaluation is conducted in accordance to the stepwise evaluation by Sonnenberg and vom Brocke and considers a survey of 50 practitioners from the DSS domain.

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Author information

Authors and Affiliations

  1. University of Osnabrück, 49074, Osnabrück, Germany

    Marcel-Philippe Breuer

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  1. Marcel-Philippe Breuer
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Correspondence to Marcel-Philippe Breuer .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Universita della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Breuer, MP. (2018). Design and Ex ante Evaluation of an Architecture for Self-adaptive Model-Based DSS. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_64

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  • DOI: https://doi.org/10.1007/978-3-319-77712-2_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77711-5

  • Online ISBN: 978-3-319-77712-2

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