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On the Future of Solution Composition in Software Ecosystems

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Book cover Economics of Grids, Clouds, Systems, and Services (GECON 2016)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10382))

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Abstract

The trend of application stores is currently at a peak. However, the lack of dynamic composition for complex solutions is the largest downside of the app store model, since solutions are increasingly created as compositions of multiple solutions, APIs, and applications. Therefore, in this vision paper, a superior model, solution composers, is proposed to the app store model. A conceptual framework is established to illustrate the inner workings of solution composers in software ecosystems. In order to outline that solution composers are significant for the future of software development, several industry cases are presented and compared to support this concept, further indicating that a standard for solution composition should be considered. In addition, the vision is evaluated through expert reviews at several leading platform providers and challenges for practice and implementation are identified.

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Author information

Authors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Zherui Yang & Slinger Jansen

  2. Huawei Technologies Co., Ltd., Beijing, China

    Xuesong Gao & Dong Zhang

Authors
  1. Zherui Yang
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  2. Slinger Jansen
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  3. Xuesong Gao
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  4. Dong Zhang
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Corresponding authors

Correspondence to Zherui Yang or Slinger Jansen .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Zaragoza, Zaragoza, Spain

    José Ángel Bañares

  2. Harokopio University, Tavros, Greece

    Konstantinos Tserpes

  3. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

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Yang, Z., Jansen, S., Gao, X., Zhang, D. (2017). On the Future of Solution Composition in Software Ecosystems. In: Bañares, J., Tserpes, K., Altmann, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2016. Lecture Notes in Computer Science(), vol 10382. Springer, Cham. https://doi.org/10.1007/978-3-319-61920-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-61920-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61919-4

  • Online ISBN: 978-3-319-61920-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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