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A Knowledge Management Framework to Support Software Inspection Planning

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Managing Software Engineering Knowledge

Abstract

Software inspection requires customization to each development context and guidelines for planning for optimal results. In this work we present a role-oriented knowledge management framework for key decisions in software inspection planning and focus on how to use available knowledge from literature, which may vary considerably in different contexts, with local empirical data. We identify three decision levels, which differ by knowledge requirements and the level of uncertainty for decision inputs: the quality management level, the project planning level,and the inspection level. On each inspection planning level we provide scenarios with key decisions that outline the decision-making process and show how available inspection knowledge based on measurement in a particular context can be used for decision support. The conceptual framework is a first step to make inspection planning more explicit and procedural in order to be able to further improve this process.

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Authors
  1. Stefan Biffl
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  2. Michael Halling
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Editor information

Editors and Affiliations

  1. School of Information Systems, Technology and Management, University of New South Wales, NSW, 2052, Sydney, Australia

    Aybüke Aurum  & Meliha Handzic  & 

  2. School of Computer Science and Engineering, University of New South Wales, NSW, 2052, Sydney, Australia

    Ross Jeffery

  3. Dept. of Software Engineering and Computer Science, Blekinge Institute of Technology, Box 520, SE-372 25, Ronneby, Sweden

    Claes Wohlin

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© 2003 Springer-Verlag Berlin Heidelberg

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Biffl, S., Halling, M. (2003). A Knowledge Management Framework to Support Software Inspection Planning. In: Aurum, A., Jeffery, R., Wohlin, C., Handzic, M. (eds) Managing Software Engineering Knowledge. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05129-0_11

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  • DOI: https://doi.org/10.1007/978-3-662-05129-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05573-7

  • Online ISBN: 978-3-662-05129-0

  • eBook Packages: Springer Book Archive

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