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Systems and Software Variability Management pp 119–137Cite as

Variability in the Software Product Line Life cycle

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Abstract

Product line (PL) engineering is a software engineering paradigm, which guides organizations toward the development of products from core assets rather than the development of products one by one from scratch [1–3]. Two major activities of PL software engineering are core asset development (i.e., PL engineering) and product development (i.e., application engineering) using the core assets.

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Notes

  1. 1.

    The conceptual architecture describes a system in terms of abstract, high-level components and relationships between them.

  2. 2.

    The process architecture represents a concurrency structure in terms of concurrent processes (or tasks) to which functional elements are allocated; the deployment architecture shows an allocation of processes to hardware resources.

  3. 3.

    When products are developed with integration of components implementing various features, these features may interact with each other. The problem of unexpected side effects when a feature is added to a set of features is generally known as the feature interaction problem.

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Author information

Authors and Affiliations

  1. Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea

    Kyo C. Kang & Hyesun Lee

  2. School of Computing and Communications, Lancaster University, Lancaster, UK

    Jaejoon Lee

Authors
  1. Kyo C. Kang
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  2. Hyesun Lee
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  3. Jaejoon Lee
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Corresponding author

Correspondence to Kyo C. Kang .

Editor information

Editors and Affiliations

  1. Rey Juan Carlos University, c/ Tulipán s/n, Madrid, 28933, Spain

    Rafael Capilla

  2. Chalmers University of Technology, Matildehemsvägen 6, Gothenburg, 412 96, Sweden

    Jan Bosch

  3. and Technology, Pohang University of Science, San 31, Hyoja-Dong, Nam-Gu, Pohang, 790-784, Korea, Republic of (South Korea)

    Kyo-Chul Kang

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Kang, K.C., Lee, H., Lee, J. (2013). Variability in the Software Product Line Life cycle. In: Capilla, R., Bosch, J., Kang, KC. (eds) Systems and Software Variability Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36583-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-36583-6_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36582-9

  • Online ISBN: 978-3-642-36583-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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