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Architecture-Centric Software Quality Management

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Web Information Systems and Technologies (WEBIST 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 18))

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Abstract

Software quality is a multi-faceted concept defined using different attributes and models. From all various quality requirements, the quality of adaptiveness is by far most critical. Based on this assumption, this paper offers an architecture-centric approach to production of measurably-adaptive systems. The paper uses the PCBMER (Presentation, Controller, Bean, Mediator, Entity, and Resource) meta-architecture to demonstrate how complexity of a software solution can be measured and kept under control in standalone applications. Meta-architectural extensions aimed at managing quality in integration development projects are also introduced. The DSM (Design Structure Matrix) method is used to explain our approach to measure the quality. The discussion is conducted against the background of the holonic approach to science (as the middle-ground between holism and reductionism).

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Author information

Authors and Affiliations

  1. Department of Computing, Macquarie University, NSW 2109, Sydney, Australia

    Leszek A. Maciaszek

Authors
  1. Leszek A. Maciaszek
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Editors and Affiliations

  1. Department of Systems and informatics, Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and Instituto Politécnico de Setúbal (IPS), Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    José Cordeiro  & Joaquim Filipe  & 

  2. ESEO, 4 rue Merlet de la Boulaye, BP 30926, 49009, Angers cedex 01, France

    Slimane Hammoudi

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© 2009 Springer-Verlag Berlin Heidelberg

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Maciaszek, L.A. (2009). Architecture-Centric Software Quality Management. In: Cordeiro, J., Hammoudi, S., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST 2008. Lecture Notes in Business Information Processing, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01344-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-01344-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01343-0

  • Online ISBN: 978-3-642-01344-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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