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European Conference on Software Architecture

ECSA 2010: Software Architecture pp 182–197Cite as

Impact Evaluation for Quality-Oriented Architectural Decisions regarding Evolvability

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6285))

Abstract

Quality goals have to be under a special consideration during software architectural design. Evolvability constitutes a quality goal with a special relevance for business critical systems. Architectural patterns can significantly contribute to the satisfaction of quality goals. But architectural design decisions regarding these goals have to be made in a systematic, methodical way and concerning the patterns’ influence on quality properties. Unfortunately, pattern catalogs do not well support quality goal-oriented design decisions. This paper presents a systematic refinement and mapping of the quality goal evolvability to properties for good architectural design. A set of architectural patterns is evaluated regarding these properties. Furthermore, a calculation scheme is provided that enables the evaluation of the patterns to support design decisions. The results have been developed, revised, and evaluated in a series of applications based on industrial expertise.

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Authors and Affiliations

  1. Ilmenau University of Technology, P.O. Box 10 05 65, 98684, Ilmenau, Germany

    Stephan Bode & Matthias Riebisch

Authors
  1. Stephan Bode
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  2. Matthias Riebisch
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Editors and Affiliations

  1. Software Development Group, IT University of Copenhagen, Rued Langgaards, Vej 7, 2300, Copenhagen, S, Denmark

    Muhammad Ali Babar

  2. Computational and Information Sciences, Pacific Northwest National Laboratory, MS: K7-90, Richland, PO Box 999, 99352, WA, USA

    Ian Gorton

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Bode, S., Riebisch, M. (2010). Impact Evaluation for Quality-Oriented Architectural Decisions regarding Evolvability. In: Babar, M.A., Gorton, I. (eds) Software Architecture. ECSA 2010. Lecture Notes in Computer Science, vol 6285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15114-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-15114-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15113-2

  • Online ISBN: 978-3-642-15114-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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