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Towards Principles of Large-Scale Agile Development

A Summary of the Workshop at XP2014 and a Revised Research Agenda

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Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation (XP 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 199))

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Abstract

Large projects are increasingly adopting agile development practices, and this raises new challenges for research. The workshop on principles of large-scale agile development focused on central topics in large-scale: the role of architecture, inter-team coordination, portfolio management and scaling agile practices. We propose eight principles for large-scale agile development, and present a revised research agenda.

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References

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Author information

Authors and Affiliations

  1. SINTEF, NO-7465, Trondheim, Norway

    Torgeir Dingsøyr & Nils Brede Moe

  2. Department of Computer and Information Science, Norwegian University of Science and Technology, Norway

    Torgeir Dingsøyr

  3. Blekinge Institute of Technology, SE-371 79, Karlskrona, Sweden

    Nils Brede Moe

Authors
  1. Torgeir Dingsøyr
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  2. Nils Brede Moe
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Editor information

Editors and Affiliations

  1. SINTEF, Trondheim, Norway

    Torgeir Dingsøyr  & Nils Brede Moe  & 

  2. University of Cagliari, Cagliari, Italy

    Roberto Tonelli

  3. Brunel University London, Uxbridge, UK

    Steve Counsell

  4. Free University of Bozen-Bolzano, Bolzano, Italy

    Cigdem Gencel

  5. Blekinge Institute of Technology, Karlskrona, Sweden

    Kai Petersen

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Dingsøyr, T., Moe, N.B. (2014). Towards Principles of Large-Scale Agile Development. In: Dingsøyr, T., Moe, N.B., Tonelli, R., Counsell, S., Gencel, C., Petersen, K. (eds) Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation. XP 2014. Lecture Notes in Business Information Processing, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-14358-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-14358-3_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14357-6

  • Online ISBN: 978-3-319-14358-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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