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Journal ArticleDOI

Measuring the health of open source software ecosystems: Beyond the scope of project health

Slinger Jansen
- 01 Nov 2014 - 
- Vol. 56, Iss: 11, pp 1508-1519
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TLDR
With the operationalization in hand, researchers no longer need to start from scratch when researching open source ecosystems’ health, and stakeholders can make better decisions on whether to invest in an ecosystem.
Abstract
Background The livelihood of an open source ecosystem is important to different ecosystem participants: software developers, end-users, investors, and participants want to know whether their ecosystem is healthy and performing well. Currently, there exists no working operationalization available that can be used to determine the health of open source ecosystems. Health is typically looked at from a project scope, not from an ecosystem scope. Objectives With such an operationalization, stakeholders can make better decisions on whether to invest in an ecosystem: developers can select the healthiest ecosystem to join, keystone organizers can establish which governance techniques are effective, and end-users can select ecosystems that are robust, will live long, and prosper. Method Design research is used to create the health operationalization. The evaluation step is done using four ecosystem health projects from literature. Results The Open Source Ecosystem Health Operationalization is provided, which establishes the health of a complete software ecosystem, using the data from collections of open source projects that belong to the ecosystem. Conclusion The groundwork is done, by providing a summary of research challenges, for more research in ecosystem health. With the operationalization in hand, researchers no longer need to start from scratch when researching open source ecosystems’ health.

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Citations
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Journal ArticleDOI

Revisiting software ecosystems Research

TL;DR: A systematic literature study based on the most extensive literature review in the field up to date, which reveals a field that is rapidly growing, both in volume and empirical focus, while becoming more mature, and shapes the view of the field having evolved outside the existing definitions of software ecosystems.
Book ChapterDOI

Evolving an Open Ecosystem: The Rise and Fall of the Symbian Platform

Joel West, +1 more
TL;DR: In this article, the authors examine Symbian Ltd., a startup firm that developed a strong technical architecture and broad range of third-party complements with its Symbian OS for smartphones.
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Open source software ecosystems: A Systematic mapping

TL;DR: Evaluating the current state of the art in OSS ecosystems (OSSECOs) research concludes that existing research on several topics related to OSSECOs is still scarce and calls for further investigation efforts on how organizations and OSS communities actually understand O SSECOs.
Journal ArticleDOI

Discovering community patterns in open-source: a systematic approach and its evaluation

TL;DR: Yoshi is proposed, a tool able to map open-source communities onto community patterns, sets of known organisational and social structure types and characteristics with measurable core attributes, finding that the tool offers a valuable basis to monitor key community traits behind open- source development and may form an effective combination with web-portals such as OpenHub or Bitergia.
Journal ArticleDOI

Selecting an open innovation community as an alliance partner: Looking for healthy communities and ecosystems

TL;DR: In this article, the authors build upon Shah and Swaminathan's (2008) contingency model of alliance partner selection and consider how it applies to the case of partnering with open innovation communities.
References
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Journal ArticleDOI

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TL;DR: It is found that enjoyment-based intrinsic motivation, namely how creative a person feels when working on the project, is the strongest and most pervasive driver.
Book

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Marco Iansiti, +1 more
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Journal Article

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Proceedings ArticleDOI

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TL;DR: The GHTorent project has been collecting data for all public projects available on Github for more than a year, and the dataset details and construction process are presented.
Proceedings ArticleDOI

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