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FlexibleWorking Architectures: Agile Architecting Using PPCs

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

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Abstract

Software systems need software architectures to improve their scalability and maintenance. However, many agile practitioners claim that the upfront design of software architectures is an investment that does not pay off, since customers can rarely appreciate the value delivered by architectures. Furthermore, conventional architectural practices may be considered unacceptable from the Agile values and principles perspective. In this paper, the development ofworking architectures in agile iterations is presented as an attempt to solve the problem of designing software architectures in Agile. This contribution is based on the new concept of Plastic Partial Component (PPC). PPCs are highly malleable components that can be partially described, what increases the flexibility of architecture design. PPCs based architectures let reinforce some of the agile values and principles. Our experience of putting this contribution into practice is illustrated through the agile development of a Testing Framework for Biogas Plants.

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Author information

Authors and Affiliations

  1. E.U. Informática, Technical University of Madrid (UPM), Madrid, Spain

    Jennifer Pérez, Jessica Díaz, Juan Garbajosa & Pedro P. Alarcón

Authors
  1. Jennifer Pérez

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  2. Jessica Díaz

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  3. Juan Garbajosa

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  4. Pedro P. Alarcón

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Editor information

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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© 2010 Springer-Verlag Berlin Heidelberg

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Pérez, J., Díaz, J., Garbajosa, J., Alarcón, P.P. (2010). FlexibleWorking Architectures: Agile Architecting Using PPCs. 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_10

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