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A Hybrid Approach to Feature-Oriented Programming in XVCL

  • Conference paper
Software Product Lines: Going Beyond (SPLC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6287))

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Abstract

Feature-Oriented Programming (FOP) is a programming paradigm for developing programs by composing features. It is especially useful for software product line development, as each product line member implements some combinations of features. FOP attempts to modularize features and to enable their flexible composition into programs. Recent studies have shown that it is not practical to modularize and then compose features that have fine-grained impact on base programs. In this paper, we present a hybrid approach to feature modularization/composition problem. We modularize only separable features that can be well contained in dedicated files. We handle inseparable features by annotating base programs using preprocessing-like directives. We show how the hybrid approach can be achieved in XVCL, a generative technique to manage variabilities in software product lines.

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Author information

Authors and Affiliations

  1. School of Software, Tsinghua University, Beijing, 100084, China

    Hongyu Zhang

  2. School of Computing, National University of Singapore, Singapore, 117543

    Stan Jarzabek

Authors
  1. Hongyu Zhang
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  2. Stan Jarzabek
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Editor information

Editors and Affiliations

  1. Intuit, Mountain View, CA, USA

    Jan Bosch

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

    Jaejoon Lee

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Zhang, H., Jarzabek, S. (2010). A Hybrid Approach to Feature-Oriented Programming in XVCL. In: Bosch, J., Lee, J. (eds) Software Product Lines: Going Beyond. SPLC 2010. Lecture Notes in Computer Science, vol 6287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15579-6_33

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  • DOI: https://doi.org/10.1007/978-3-642-15579-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15578-9

  • Online ISBN: 978-3-642-15579-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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