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Integrating Quality-Attribute Reasoning Frameworks in the ArchE Design Assistant

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Quality of Software Architectures. Models and Architectures (QoSA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5281))

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Abstract

Techniques and tools for specific quality-attribute issues are becoming a mainstream in architecture design. This approach is practical for evaluating the architecture in early stages but also for planning improvements for it. Thus, we believe that one challenge is the integration of the individual capabilities of quality-attribute techniques. This paper presents our research work on a design assistant called ArchE that, based on reasoning framework technology, provides an infrastructure for third-party researchers to integrate their own quality-attribute models. This infrastructure aims at facilitating the experimentation and sharing of quality-attribute knowledge in both research and educational contexts.

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Author information

Authors and Affiliations

  1. Software Engineering Institute, Carnegie Mellon University, 4500 Fifth Avenue, Pittsburgh, PA-15213-2612, USA

    Andres Diaz-Pace, Hyunwoo Kim, Len Bass, Phil Bianco & Felix Bachmann

Authors
  1. Andres Diaz-Pace
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  2. Hyunwoo Kim
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  3. Len Bass
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  4. Phil Bianco
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  5. Felix Bachmann
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Editor information

Editors and Affiliations

  1. FZI Forschungszentrum Informatik,, Haid-und-Neu-Straße 10-14, 76131, Karlsruhe, Germany

    Steffen Becker

  2. Department of Software Engineering, Charles University, Malostranske nam. 25, 11800, Prague 1, Czech Republic

    Frantisek Plasil

  3. Chair for Software Design and Quality, University of Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany

    Ralf Reussner

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© 2008 Springer-Verlag Berlin Heidelberg

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Diaz-Pace, A., Kim, H., Bass, L., Bianco, P., Bachmann, F. (2008). Integrating Quality-Attribute Reasoning Frameworks in the ArchE Design Assistant. In: Becker, S., Plasil, F., Reussner, R. (eds) Quality of Software Architectures. Models and Architectures. QoSA 2008. Lecture Notes in Computer Science, vol 5281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87879-7_11

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  • DOI: https://doi.org/10.1007/978-3-540-87879-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87878-0

  • Online ISBN: 978-3-540-87879-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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