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Software Engineering Knowledge Repositories

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Empirical Methods and Studies in Software Engineering

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2765))

Abstract

In order to improve the maturity and competitiveness of software intensive organizations, there is a need to efficiently share experiences about best software engineering practices, their benefits as well as their context requirements and boundaries. Such knowledge enables companies to improve faster and at lower cost. Many such experiences exist locally either in individual companies or departments – derived via case studies in projects, or in research organizations – derived via controlled technology experiments. Supporting the extraction of experiences, their packaging for cross-organization reuse, and making them available from a central storage are (some) of the challenges a cross-organization knowledge repository faces. Therefore it has to provide at least a technical infrastructure and organizational support for acquiring, using, maintaining, and evolving relevant knowledge. This chapter describes an empirically validated approach to the design, construction, and evaluation of software engineering repositories, alongside an example of the construction and the evaluation of the ESERNET knowledge repository.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Experimental Software Engineering (IESE), Sauerwiesen 6, D-67661, Kaiserslautern, Germany

    Andreas Jedlitschka & Markus Nick

Authors
  1. Andreas Jedlitschka
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  2. Markus Nick
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway

    Reidar Conradi

  2. Department of Computer and Information Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Alf Inge Wang

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© 2003 Springer-Verlag Berlin Heidelberg

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Jedlitschka, A., Nick, M. (2003). Software Engineering Knowledge Repositories. In: Conradi, R., Wang, A.I. (eds) Empirical Methods and Studies in Software Engineering. Lecture Notes in Computer Science, vol 2765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45143-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-45143-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40672-3

  • Online ISBN: 978-3-540-45143-3

  • eBook Packages: Springer Book Archive

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