The five stages of open source volunteering [Book Chapter]

Abstract: Today’s software systems build on open source software. Thus, we need to understand how to successfully create, nurture, and mature the software development communities of these open source projects. In this article, we review and discuss best practices of the open source volunteering and recruitment process that successful project leaders are using to lead their projects to success. We combine the perspective of the volunteer, looking at a project, with the perspective of a project leader, looking to find additional volunteers for the project. We identify a five-stage process consisting of a connecting, understanding, engaging, performing, and leading stage. The underlying best practices, when applied, significantly increase the chance of an open source project being successful.

Keywords: Crowdsourcing, open source software, open source communities, volunteering process

Reference: Riehle, D. (2015). The Five Stages of Open Source Volunteering. In Crowdsourcing. Li, Wei; Huhns, Michael N.; Tsai, Wei-Tek; Wu, Wenjun (Editors). Springer-Verlag, 2015, 25-38.

The paper is available as a PDF file and as HTML on this site.

Republished from The Five Stages of Open Source Volunteering. Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science, Technical Report, CS-2014-01, March 2014. Erlangen, Germany, 2014.

Posted on

Comments

  1. […] Riehle, D. (2015). The Five Stages of Open Source Volunteering. In Cloud-based Software Crowdsourcing, pp. 25-38. Springer-Verlag. Republished […]

  2. […] technical report was superseded by a republication by Springer Verlag. Please cite and use the later […]

  3. […] Dirk (2015). The Five Stages of Open Source Volunteering. In Cloud-based Software Crowdsourcing. Li, Wei; Huhns, Michael N.; Tsai, Wei-Tek; Wu, Wenjun […]

  4. […] technical report was superseded by a republication by Springer Verlag. Please cite and use the later […]

  5. Mike Linksvayer Avatar

    Community open source software is software that is owned by a community, typically by way of distributed copyright ownership or by ownership through a non-profit foundation. Commercial open source software development is curated by a single company, which maintains the ownership of all relevant intellectual property.
    This seems like a really narrow definition of ‘commercial’, considering vast contribution by paid employees to open source projects that employer does not own all relevant IP for.

    According to Mickos, commercial open source rarely receives and incorporates code contributions from their user communities [9], however, community open source does.

    What does rarely mean? Has the difference in user contributions to commercial vs community (as defined) been quantified? ‘Commercial’ open source projects bother being open source and taking flak for costs of being ‘commercial’ and open source (eg CLAs), so presumably they find some value in external contributions and should still follow your advice to get more?
    Excellent distillation overall, I really enjoyed reading and will find it useful to share!

    1. Mike Linksvayer Avatar

      First paragraph of my comment is a quote. I must have failed to enter blockquote element correctly.

    2. Dirk Riehle Avatar

      Hi Mike, thanks for the comments!
      I stand by my definition though I can see how it may be confusing.
      In my definition, delberately, Apache projects, the Eclipse platform, even OpenStack components are community open source software, because they are being developed jointly by a group of companies. Those companies have commercial motives, but the software they are developing jointly is not competitively differentiating to any of the participants.
      Products built on top of these community software components are commercial, of course, but they may or may not be open source.
      So, I consider a group of companies with commercial motives still a commuity and the community work not commercial open source software.
      Does this make sense?
      Dirk

  6. Martin Stein Avatar

    That sounds like it could make a good talk. Contact me if you want a slot in Palo Alto!

    1. Dirk Riehle Avatar

      Hi Martin, thanks for the invitation. Let me follow-up by private email. –Dirk

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Share the Joy

Share on LinkedIn

Share by email

Share on Twitter / X

Share on WhatsApp

Featured Startups

QDAcity makes qualitative research and qualitative data analysis fun and easy.
EDITIVE makes inter- and intra-company document collaboration more effective.

Featured Projects

Making free and open data easy, safe, and reliable to use
Bringing business intelligence to engineering management
Making open source in products easy, safe, and fun to use