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Supporting the Evolution of Research in Software Ecosystems: Reviewing the Empirical Literature

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Software Business (ICSOB 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 240))

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Abstract

The field of software ecosystems is gradually transiting towards an established means of software development and distribution, counting numerous areas of applicability. However, research in software ecosystems, although the activity of over 10 years, is still characterized as premature with significant lack of software ecosystem specific theories that are solid, mature, generic, and detailed enough to be measurable and transferable. In this study, we intent to come closer to an evolution of the field by supporting the “localization” of research, i.e. the focus on specific types of software ecosystems. To do so, we investigate the literature of empirical, non open source ecosystem studies and intent to identify the various aspects and perspectives studied.

In total, we review 56 empirical studies that investigate 55 software ecosystems. Our analysis confirms the assumption that proprietary software ecosystem studies lack deeper investigation of technical and collaborative aspects. Moreover, we identify an increased focus on organizational aspects and a rather limited focus on business. Furthermore, we identify common technology as the component investigated most in the ecosystems, both from the technical aspects, but also as means of applying orchestration. Finally, comparing the main areas with the overall ecosystem literature, we identify that empirical studies lack representation of health, motivation, actor activity, reusability, integration, and quality of ecosystems.

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Notes

  1. 1.

    E.g. [2–6].

  2. 2.

    An arguably more accurate term is orchestration [13, 14] that better describes more “loose” organizational structures or ecosystems with voluntary contributions.

  3. 3.

    The digital libraries are: IEEE Explore, SpringerLink, ACM Digital Library, ScienceDirect, and Web of Science.

  4. 4.

    In their work, they are mentioned as “ecosystem building blocks”.

  5. 5.

    The count of papers per year is 2008:2, 2009:2, 2010:6, 2011:7, 2012:6, 2013:11, 2014:22.

  6. 6.

    One paper can be categorized in more than one structure.

  7. 7.

    The percentage distribution of components is common technology: \(34\,\%\), actor: \(30\,\%\), environment: \(14\,\%\), incentive: \(13\,\%\), and contribution: \(9\,\%\).

  8. 8.

    Less than \(4\,\%\) of the total.

  9. 9.

    An example of this is the partnerships modeling/management/networks.

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Acknowledgments

This work has been supported by the SCAUT (http://www.scaut.dk/) project, partially funded by Innovation Fund Denmark, grant #72-2014-1.

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  1. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

    Konstantinos Manikas

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  1. Konstantinos Manikas
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Editors and Affiliations

  1. Lappeenranta University of Technology, Lappeenranta, Finland

    Andrey Maglyas

  2. University of Limerick, Lero-The Irish Software Research Centre, Limerick, Ireland

    Anna-Lena Lamprecht

Appendix: Literature body

Appendix: Literature body

[9, 17, 30–83]

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Manikas, K. (2016). Supporting the Evolution of Research in Software Ecosystems: Reviewing the Empirical Literature. In: Maglyas, A., Lamprecht, AL. (eds) Software Business. ICSOB 2016. Lecture Notes in Business Information Processing, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-40515-5_5

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