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A Fresh Look at Codification Approaches for SAKM: A Systematic Literature Review

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Software Architecture (ECSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8627))

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Abstract

The last 10 years have seen a rise of approaches for Software Architecture Knowledge Management (SAKM), with a focus on codification of architecture knowledge. Still there is no common meta-model for describing architectural knowledge nor is there a common terminology for the main concepts of such a model. While this might lead to the question whether such a common meta-model is even possible, it is certainly desirable. We decided to tackle this question based on the results of 10 years of research in this area. As part of a systematic literature survey we analyzed and compared model-based approaches for SAKM. Specifically we analyzed the models of SAKM approaches with the highest-rated evidence for different knowledge management activities like capturing, maintaining, reuse, sharing, and using. As a result we identified important aims and elements of proven SAKM approaches, which could be used as a driver for the next generation of AK codification approaches.

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Author information

Authors and Affiliations

  1. Johannes Kepler University Linz, Austria

    Rainer Weinreich & Iris Groher

Authors
  1. Rainer Weinreich
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  2. Iris Groher
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Editor information

Editors and Affiliations

  1. University of Groningen, The Netherlands

    Paris Avgeriou

  2. Research Group Software Architecture, University of Vienna, Austria

    Uwe Zdun

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Weinreich, R., Groher, I. (2014). A Fresh Look at Codification Approaches for SAKM: A Systematic Literature Review. In: Avgeriou, P., Zdun, U. (eds) Software Architecture. ECSA 2014. Lecture Notes in Computer Science, vol 8627. Springer, Cham. https://doi.org/10.1007/978-3-319-09970-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-09970-5_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09969-9

  • Online ISBN: 978-3-319-09970-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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