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International Conference on Agile Software Development

XP 2013: Agile Processes in Software Engineering and Extreme Programming pp 223–237Cite as

Feature Usage Diagram for Feature Reduction

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 149))

Abstract

Feature creep, if not managed well, cause software bloat. This in turn makes software applications become slower. Currently, software industry urgently requires mechanisms and approaches to reduce unnecessary or low value features. In this paper, we introduce a modelling notation, so called Feature Usage Diagram, and an approach to identify and visualize the required information for decision makers when reducing features. We conducted a case study using a real web application to validate and evaluate the Feature Usage Diagram elements and notation. The results showed that the Feature Usage Diagram is easy to learn and understand. Moreover, by visualising useful information, it has potential to support developers when making decisions for feature reduction.

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Author information

Authors and Affiliations

  1. Free University of Bolzano-Bozen, Italy

    Sarunas Marciuska, Cigdem Gencel, Xiaofeng Wang & Pekka Abrahamsson

Authors
  1. Sarunas Marciuska
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  2. Cigdem Gencel
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  3. Xiaofeng Wang
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  4. Pekka Abrahamsson
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Editor information

Editors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

    Hubert Baumeister

  2. Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Barbara Weber

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Marciuska, S., Gencel, C., Wang, X., Abrahamsson, P. (2013). Feature Usage Diagram for Feature Reduction. In: Baumeister, H., Weber, B. (eds) Agile Processes in Software Engineering and Extreme Programming. XP 2013. Lecture Notes in Business Information Processing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38314-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-38314-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38313-7

  • Online ISBN: 978-3-642-38314-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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