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Variability Modeling

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Systems and Software Variability Management

Abstract

The aim of this chapter is to provide a comprehensive description of the notion of variability modeling in the context of software product line engineering and to give an overview of the techniques proposed for variability modeling.

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Notes

  1. 1.

    The terms “problem” and “solution” are relative. A solution for one may be a problem for others to solve. Requirements, which are considered “problems” to solve by designers, are “solutions” to real-world problems. One may view features in the “solution” space as problems for asset development in the artifact space.

  2. 2.

    For the same object, we can observe it from different angle, i.e., viewpoint, and extract different information. For example, an orthopedic doctor’s view of human will be different from that of an internist.

  3. 3.

    In this chapter, we did not cover modeling real-world problems but focused on “external factors” derived from real-world problems that influence configuration of features in the solution space.

  4. 4.

    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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Authors and Affiliations

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

    Kyo C. Kang & Hyesun Lee

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  1. Kyo C. Kang
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  2. Hyesun Lee
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Correspondence to Kyo C. Kang .

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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. (2013). Variability Modeling. 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_2

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  • DOI: https://doi.org/10.1007/978-3-642-36583-6_2

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