2015 FLOSS Community Metrics

Jul 20, 20150 likes6,844 views

My talk at 2015 FOSS Community Metrics. Overview of the dangers of certain metrics about open source communities, Liferay's methodology used to select, track, and act on, and what we're doing in the future,

liferay community metrics
james falkner
liferay community
@schtool
2015 FLOSS Community Metrics

liferay community
13 years
4.3M LOC
140k registered site members
102 external contributors in 2014
150 SI partners
5M downloads
1200 marketplace developers
43 user groups
114 translators for 43 languages
300k forum posts (~100/day)
25k forum participants
2 Top 50 github devs ( , )
#5 #45

downloads
Exploded Eclipse Plugins
added to SourceForge

Ø identified metrics goals
Ø searched our feelings
Ø decided what to
measure
Ø defined success/fail
actions
how we developed metrics

liferay community
metric goal #1:
increase the value of
participation &
contribution

liferay community
metric goal #2:
Measure the effect
of business decisions

liferay community
metric goal #3:
understand the
relationship between
community metrics and
business performance

basic 1st-order metrics
for the liferay community
# of apps/reviews
# of pull requests
# of commits/lines
# of authors
# of bug reports
# of forum posts
# of downloads
# open tickets / code reviews

more interesting 2nd-order metrics
non-liferay vs.liferay
time between contribution->codebase
location of community members
evolution of contributor age over time
evolution of active/inactive users
time of bug report -> fixed
time from forum q to a
# ignored/unanswered messages
# of abandoned code reviews
distribution & evolution of commits across
functional areas

for each metric…
Ø How accurate is it?
Ø Does it help achieve goals?
Ø What to do when it turns
good/bad?
Ø What is its relationship to
others?

newbie: 0-5 posts,0 answers,1 download,1 fork,…
junior: 20 posts,10% engaged,>1 patch,5 tweets,1 app
senior: 50 posts,30% engaged,10 tweets,5 apps,moderator,
…
champion: 100 posts, 50% engaged, bugsquad,…

summary
identify values and goals
decide actions ahead of time
assume inaccuracies
experiment & evolve
avoid focusing on vanity metrics

thank you!
james falkner
liferay community
@schtool
2015 FLOSS Community Metrics

Co-presented with Dave Neary at OSCON 2011. Every community manager knows that community metrics are important, but how do you come up with a plan and figure out what you want to measure? Most community managers have their own set of hacky scripts for extracting data from various sources after they decide what metrics to track. There is no standardised Community Software Dashboard you can use to generate near-real-time stats on your community growth. Like most open source projects, we have diverse community infrastructure for MeeGo, including Mailman, Drupal, Mediawiki, IRC, git, OpenSuse Build Service, Transifex and vBulletin. We wanted to unify these sources together, extract meaningful statistics from the data we had available to us, and present it to the user in a way that made it easy to see if the community was developing nicely or not. Building on the work of Pentaho, Talend, MLStats, gitdm and a host of others, we built a generic and open source community dashboard for the MeeGo project, and integrated it into the website. The project was run in the open at http://wiki.meego.com/Metrics/Dashboard and all products of the project are available for reuse. This presentation will cover the various metrics we wanted to measure, how we extracted the data from a diverse set of services to do it, and more importantly, how you can do it too.

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2015 FLOSS Community Metrics

1. liferay community metrics james falkner liferay community @schtool 2015 FLOSS Community Metrics

2. Value of Community

3. liferay community 13 years 4.3M LOC 140k registered site members 102 external contributors in 2014 150 SI partners 5M downloads 1200 marketplace developers 43 user groups 114 translators for 43 languages 300k forum posts (~100/day) 25k forum participants 2 Top 50 github devs ( , ) #5 #45

4. body count

5. downloads Exploded Eclipse Plugins added to SourceForge

7. Ø identified metrics goals Ø searched our feelings Ø decided what to measure Ø defined success/fail actions how we developed metrics

8. liferay community metric goal #1: increase the value of participation & contribution

10. liferay community metric goal #2: Measure the effect of business decisions

13. liferay community metric goal #3: understand the relationship between community metrics and business performance

15. decide what to measure

16. basic 1st-order metrics for the liferay community # of apps/reviews # of pull requests # of commits/lines # of authors # of bug reports # of forum posts # of downloads # open tickets / code reviews

17. 1st Order Metrics WE DON’T REPORT THEM

18. more interesting 2nd-order metrics non-liferay vs.liferay time between contribution->codebase location of community members evolution of contributor age over time evolution of active/inactive users time of bug report -> fixed time from forum q to a # ignored/unanswered messages # of abandoned code reviews distribution & evolution of commits across functional areas

19. for each metric… Ø How accurate is it? Ø Does it help achieve goals? Ø What to do when it turns good/bad? Ø What is its relationship to others?

20. Example: Community Contributions

21. future: career evolution

22. newbie: 0-5 posts,0 answers,1 download,1 fork,… junior: 20 posts,10% engaged,>1 patch,5 tweets,1 app senior: 50 posts,30% engaged,10 tweets,5 apps,moderator, … champion: 100 posts, 50% engaged, bugsquad,…

23. summary identify values and goals decide actions ahead of time assume inaccuracies experiment & evolve avoid focusing on vanity metrics

24. thank you! james falkner liferay community @schtool 2015 FLOSS Community Metrics

2015 FLOSS Community Metrics

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