When comparing different communities, open source or otherwise, it's critical to realize the assumptions underlying the comparisons and to compare apples and oranges. One way to do so is to use rates of change, or percentages, but getting them out of noisy data can be tricky.
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Can we compare communities or are they all unique snowflakes?
1. Can we compare communities
or are they all unique snowflakes?
Donnie Berkholz, Ph.D.
Research Director — Development, DevOps, & IT Ops
FLOSS Community Metrics meeting, Jan 2016
13. Some content from this presentation
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13
Editor's Notes
Projects not equivalent in size or purpose
Community age effects (e.g. Google Trends over time)
Started with VM automation, moved to container automation
VotE shows most orgs are largely moved to virtualization, a minority to automation, few to orchestration/private cloud
Vagrant, Packer, Docker