A thorough analysis of open source projects in GitHub shows a massive lack of transparency. Some thoughts on why and how to fix this and evolve towards a more transparent governance in open source
Is the number of non-coding contributors indeed significant, or OSS projects are still very much “code-driven”? And, what about the contributor diversity? This post tries to shed some light on these topics.
Open source is not primarily driven by money. If not money, what strategies can help you bring in more consumers and producers to your project?. The solution may lie in the concept of matching markets.
Lessons learned from my almost twenty years of developing open-source (modeling) tools and trying to build a sustainable long-term strategy for them together with industrial partners.
List of tools to mine, analyze and visualize all the data around your software projects, including users, commits, issues… from Git, GitHub and other popular platforms
We review and adapt current testing concepts to NLP-intensive bots in order to advance towards a unified reference framework to promote, classify, compare and evaluate future NLP-intensive bot testing research initiatives.
Thanks to pretrained language models, bots can be used to detect and flag toxic comments. Bots could play a major role in our goal towards healthier and more inclusive open source communities.
Best tools to visualize, understand and manage complex Git repositories with multiple parallel branches to deal with
Participation inequality is a major challenge in any shared-resource system. This is also known as the “volunteer’s dilemma” or the tragedy of the commons. We set out to explore whether this problem also arises in open source communities.
Our proposal can help the community to identify the main challenges they may face when governing Open Source Systems.
Summary of my keynote talk at BotSE 2020 where I discuss the organizational, technical, NLP and Business challenges of building a commercial bot platform