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From YouTube: On the Need for Metrics to Engage with Open Source Communities - Willem Jiang & Daniel Izquierdo
Description
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关于与开源社区接洽的指标需求 | On the Need for Metrics to Engage with Open Source Communities - Willem Jiang, Huawei & Daniel Izquierdo, Bitergia
作为所有企业战略的一部分，开源是这一生态系统中的关键。这些是各组织可以在有或没有商业利益的情况下展开合作或直接与竞争对手合作的中立场所。技术的采用、消费或生产应该考虑到这些开源项目所处的阶段。例如，包括对项目的可持续性、其他项目利益相关者、项目领导者和其他人的影响的分析。开源在中国现在是一个热门话题。由于缺乏经验，许多大公司总是想知道如何衡量开源社区的成就以及他们的参与所带来的投资回报率。CHAOSS——开源软件社区健康分析，是指标定义和所有这些的软件实现方面的领先社区，可允许所有人使用开源工具分析开源软件。在本演讲中，听众可了解 CHAOSS 社区，其为一个 Linux 基金会项目，也可了解某些关键指标，用于分析公司（如华为）内部使用的开源项目，以减轻与使用外部软件相关的风险。
As part of any corporation strategy, open source is key in this ecosystem. These are neutral places where organizations can play together either with or without commercial interest or directly participating with competitors. Technology adoption, consumption, or production should take into account the stage of these open source projects. And this includes, as example, analysis such as sustainability of the project, influence of other project stakeholders, project leaders, and others. Open source is a hot topic in China now. Due to the lack of experience, a lot of large corporations always wonder how to measure the success of the open source community and their participation’s ROI. CHAOSS - Community Health Analytics for Open Source Software -, is the leading community in the metrics definition and software implementation of all of this and allows anyone to analyze open source software with open source tools. In this talk, the audience will learn about the community of CHAOSS, a Linux Foundation project, and some of the key metrics to analyze open source projects used within a corporation as Huawei to mitigate the risks associated with using external software.
A
Hello,
everyone
it's
my
pleasure
to
be
here
to
share
the
presentations
on
top
of
it's
my
players
to
share
this
presentation
on
the
needs
of
the
magic
to
engage
with
open
source
communities
with
daniel.
Today
my
name
is
waden
zhao,
I'm
an
open
source,
technical
expert
at
huawei
and
I'm
also
a
member
of
afgh
software
foundation.
B
So
today,
we'd
like
to
share
with
you
this
presentation
that
willian
and
I
we've
been
discussing
about
for
for
a
while.
So
if
you
think
about
open
source,
we
can
say
that
safely
that
open
source
is
everywhere
right,
that
you
can
either
consume
software
or
produce
software.
You
can
be
part
of
the
community
or
not,
but
most
of
the
solver
that
we
are
using
nowadays
is
open
source,
and
this
is
built
on
top
of
well
used
in
as
an
umbrella,
open
source
foundations
right.
B
So
we
can
think
of
the
linux
foundation,
eclipse
foundation,
the
apache
software
foundation,
etc,
and
these
are
neutral
places
where,
where
companies
corporations
can
safely
circuit
with
the
specific
rules
in
in
the
playground
right.
So
there
are
certain
rules
about
how
to
produce
software,
how
to
be
part
of
the
community
how
to
consume
that
software?
How
to
redistribute
that
software
if
you
are
using
open
source,
however,
it's
not
clear
how
to
measure
the
return
of
of
investment
of
all
of
these.
B
So
the
question
I
have
here
for
the
audience
today
is:
what
is
the
value
of
working
in
the
open
right?
So
what?
What?
What
is
it
worth
working
in
this
open
way
and
even
participating
with
with
potential
competitors?
So
this
talk
is
all
about
this.
It's
about
introducing
some
of
these
aspects.
It's
about
introducing
the
ks
community,
which
is
the
acronym
of
community
health
analytics
for
open
source
software,
and
it's
about
introducing
to
you
open
source
tools,
to
understand
open
source
communities
and
specifically
to
be
able
to
make
proper
decisions
on
top
of
them.
B
A
B
Projects
may
mean
about
donating
internal
software,
property
software
as
open
source,
so
you
can
gain
influence
in
in
very
different
ways
and
because
of
this
basically
success
will
mean
different
different
things
for
you
than
maybe
for
willem,
maybe
for
me
so
there
are.
There
are
different
ways
of
thinking
of
this
and
there
are
different
ways
of
measuring
this.
A
A
50
years
later,
I
know
a
bunch
of
people
are
hired
to
work
on
these
apache
projects
and
more
and
more
startup
companies
make
money
from
this
hawaii
project
which
original
originally
from
china.
Back
then
we
don't
have
many
meet
up
in
open
source
or
open
source
conference.
Back
then
means
the
user
group
in
beijing
was
the
only
one
I
I
joined
about
50
years
ago,
but
now
there's
a
bunch
of
meet
up
every
week
for
different
open
source
projects
in
beijing.
A
Those
are
three
reasons
for
the
popularity
of
the
open
source
in
china.
From
my
observation,
the
rise
of
cloud,
especially
public
cloud.
More
and
more
big
companies
are
embarrassed
in
embracing
open
source
such
as
alibaba,
huawei,
baidu
tencent,
donated
a
lot
of
projects
into
named
foundations
or
censored
or
absolutely
software
foundation,
and
the
world
venture
capital
is
shifting
their
focus
to
b2b
open
source
enterprise
stops
king
cab
calendars
gt,
which
is
during
the
business
open
source,
got
a
lot
of
received.
A
B
B
This
is
this:
is
a
linux
foundation
group
focused
on
open
source
and
large
corporations,
and
the
idea
is
how
you
can
make
the
most
of
open
source
within
your
within
your
company
and
for
this
all
of
the
different
requirement
departments
that
are
involved
in
should
have
like
operations
and
expectations
align
with
how
open
source
works.
So
we
can
think
of
human
resources.
B
We
can
think
about
even
business
development,
so
all
of
these
departments,
they
have
different
strategies
to
move
forward
into
the
the
several
objectives
that
they
have
at
some
point
and
and
if
we
want
to
make
open
source,
let's
say
a
success
within
their
daily
operations.
We
need
this
office,
so
then
open
source
is
supported
and
cert
and
explained
within
the
walls
of
the
company
in
the
right
way.
So
ospo
is
it's
like
this.
B
This
discussion,
of
course,
there
are
different
flavors
of
hospital
if
we
think
about
having
an
ospo
in
universities
is
probably
probably
different
than
having
an
hospital
in
a
large
corporation
and
probably
that's
different
from
from
having
an
osbo
in
the
government
right
either
in
china
or
here
in
europe
or
in
any
other
place.
So
for
this
there
are.
My
recommendation
would
be
that
you
have
a
look
at
the
different
these
three
different
places,
ospo
plus
plus,
which
is
pretty
focused
on
universities,
governments
and
civic
institutions
osposon.
B
That
recently
appeared
in
the
let's
say
in
the
context
of
hospital
and
raised
by
the
eclipse
foundation
together
with
others
about
you,
know,
sharing
and
promoting
the
materials
and
good
governance
for
open
source
plan
offices
and
then
the
to
the
group,
which
is
the
oldest
in
the
in
the
group
that
started
years
ago.
And
the
idea
is
about
creating
good
practices
and
how
to
collaborate
and
answer
tools
and
ideas
and
concepts
about
how
to
successfully
and
effectively
run
open
source
program
offices
and
specifically
open
source
projects
and
an
engagement
with
with
them.
A
A
A
It
could
be
a
hard
work
to
manage
the
information
about
these
open
source
projects.
Besides
of
the
open
source
license
compliance,
we
also
need
to
take
care
of
the
lifecycle
management
of
the
open
source
software.
It's
a
tremendous
work
to
collect
the
developer
status
and
the
community
health
information
of
these
open
source
projects.
A
We
are
quite
interesting
to
know
what
kind
of
work
we
wrote
down
in
the
open
source
community
open
source
software
is
an
important
part
of
the
huawei
computing
system
strategy.
We
launched
four
open
source-based
software
projects,
open
your
open,
gauss's,
open,
login
and
mansport.
Recently,
when
we
built
this
open
source
community
from
strap
scratch,
we
need
to
know
the
community
status,
such
as
contributing
grace
growth
contributor
works,
to
help
the
community
manager
to
polish
the
open
source
project
promotion
plan.
A
B
Yeah,
just
a
bit
more
of
it
a
bit
about
chaos,
so
we
are.
We
are
working
in
two
main
areas.
One
of
them
is
about
defining
from
a
more
theoretical
perspective,
what
a
metric
is
and
and
how
they
belong
to
different
contexts.
For
instance
on
the
left,
you
can
see
that
we
have
the
common
metrics
diversity,
inclusion,
evolution,
risk
value
and
so
on.
So
these
are
metrics.
B
B
So
what
I
like
to
highlight
here
in
this
in
this
this
slide
today
is
that
communities
such
as
chaos
are
great
examples
of
open
source
engagement,
and
then
I
I've
had
the
pleasure
to
to
work
with
willem
to
advance
into
the
understanding
of
open
source
health
and
open
source
communities
and
then
later
in
at
the
inner
source
commons
for
instance.
So
this
is
a
good
example
of
building
building
relationships
between
china
and
spain,
and
hopefully
we
had
the
opportunity
to
meet
each
other
in
person
right.
So,
let's
see
yeah
yeah.
A
Yeah,
at
least
I
just
showed
a
chaos
meet
up
in
china,
and
we
hold
two
chaos
train
meet
up
with
great
support
from
the
chaos
community.
First
one
was
hold
the
shanghai
last
year.
The
second
one
is
whole
team
beijing
this
year
and
we
had
more
than
15
people
joined
the
meet
up
to
talk
about
two
metrics,
which
is
related
to
open
source
project
development
and
community
health.
B
So,
let's
say
formerly
known
as
metrics
grimoire,
where
material
came
from
academia
doing
empirical
software
engineering.
I
I'm
indeed
one
of
the
regional
authors
of
of
matrix,
gemara
and
grimoire
lab
are
part
of
the
tool
chain
and
I'd
like
to
highlight
here
the
this
is
the
the
model
of
the
community,
which
is
open
source
tools
to
provide
software
development
insights,
and
there
are
two
main
areas
here
on
the
on
the
left.
We
have
open
source
tools.
Why?
Why
is
it
why
it's
important
to
use
open
source
tools?
B
So
basically
you
are
making
business
decisions
based
on
data
based
on
metrics
based
on
kpis
and
those
metrics
are
coming
in
this
case
from
open
source.
So
you
can
check
how
those
metrics
are
gathered,
how
those
metrics
have
been
developed.
Let's
say
how
the
algorithms
behind
all
of
these
metrics
so
being
open
source
is
key
to
be
sure
that
you
are
making
the
right
decisions,
that
you
can
trace
back
those
decisions
and
how
those
metrics
are
being
retrieved,
and
you
can
understood
and
everything,
so
you
can
do
certain
due
diligence.
B
Analysis,
if
I
can
say
this
and
then
on
the
right,
but
but
I
wanted
to
highlight,
is
to
say
that.
Well,
it
doesn't
matter
if
you
are
doing
open
source
development
or
you
are
doing
internal
development
or
if,
if
there
is
no
even
any
different
about
about
both
ways
of
developing
software,
the
thing
is
that
you
should
have
metrics
around
because
then
you
will.
You
will
improve
how
you
are
developing
software
because
having
metrics,
which
is
not
the
final
goal,
it's
just
another
tool,
useful
tool
to
make
those
decisions
and
just
an
example.
B
While
while
we
were
preparing
the
slides,
I
thought
well,
there
is
this
service
called
io,
which
is
free
by
the
way
for
for
anyone,
there
is
a
cloud
person
self-hosted
with
private
access.
If
you
are
interested
paid
version,
but
there
is,
there
is
this
free
version
and
what
we
were
doing
was
to
analyze
the
huawei
pro.
Yes,
the
for
that
that
we
mentioned
before
so.
This
is
the
url
called
ios
last
project,
slash
5269.
B
So
what
we
can
see
on
the
on
the
very
center
is
basically
the
the
different
data
sources
on
the
left
of
the
of
the
schema
architecture,
and
then
this
is
split
into
three
main
steps,
so
the
first
one
is
about
gathering
data,
so
grimar
lab
supports
30,
plus
different
data
sources,
including
et
so
we'll
see
now
a
use
case,
an
example
that
it's
part
of
this
conversation
today
and
then
this
all
of
this
data
is
gathered
by
percival.
So
percival
is
exporting
this
into
json
documents
and
then.
A
B
Everything
is
stored
in
into
a
database.
We
are
using
elasticsearch
in
this
case.
There
are
certain
capabilities
to
deal
with
identity,
so
you
can
check
developer
activity
across
the
different
data
sources
across
the
different
projects.
You
can
have
the
same
information
at
the
level
of
companies
etc,
and
then
there
is
a
second
step
where
all
of
this
information
is
enriched.
B
So
by
enriched
it
means
that
there
is
certain
data
processing
where
data
is
now
much
more
tuned
into
the
visualization
needs,
and
this
is
the
the
very
first,
the
very
third
part
and
last
part
of
the
of
the
process
of
the
tool
chain
for
grimmar
labs,
where
you
are
visualizing
a
lot
of
this
information
in
in
a
dashboard
way,
as
we
saw
previously,
we
can
see
we
can
we.
We
can
go
through
a
couple
of
examples
that
I
think
are
well.
B
If
there
has
been
at
least
one
contribution,
if,
if
you're
interested
in
learning
a
bit
more,
you
can
see-
and
you
can
learn
about
this
in
the
ieee
software
paper
that
you
can
see
on
on
the
right.
There
are,
of
course,
other
analysis
that
you
can
do.
This
is
another
use
case.
There
are
by
the
way,
70
plus
different
use
case
covered
in
remark
lab.
So
this
used
case
is
about
open
source
development
and
predictability
and
efficiency.
B
This
is
this
was
an
analysis
done
for
the
same
community
that
again,
this
has
been
published
in
ieee
software.
In
case
you
are
interested,
but
then
in
the
in
the
middle
of
the
of
our
chart
here
you
can
see
some
squares
in
in
orange,
so
the
left
one
is
about
the
the
increase.
So
what
we
learned
here
is
that
for
the
first
let's
say,
code
reviews
of
certain
size
had
a
linear
increase,
so
basically
the
more
the
bigger
that
code
review
was
the
the
more
time
it
needed,
but
the
growth
was
linear
increase.
B
But
then,
if
you
reach
certain
levels,
as
you
can
see,
the
the
the
orange
square
on
the
right
that
increase
was
exponential.
So
we
had
a
specific
advice
here
about
you
know:
dividing
making
the
code
review
processes
the
the
the
size
of
the
commit
much
more
smaller.
So
then
you
can
keep
in
the
linear
growth
instead
of
having
this
exponential
growth
in
the
time
to
to
close
to
to
review,
to
merge
all
of
these
processes.
B
A
A
So
so
when
I
start
to
use
the
gram
lab
to
collect
the
data-
and
it's
unfortunately
graham
represents
support
to
collect
the
data
from
the
gt
and
after
spending
some
times
on
the
couch
I
just
found
we
can
leverage
the
posterior
plugin
feature
to
fill
the
gap
by
adding
gt
back
backend
to
collect
the
data.
So
we
start
the
discussion
in
the
github
issues
of
the
gram
map
and
for
supporting
loading
the
tracking
in
more
easily.
A
Now
we
are
using
a
gram
map
to
collect
the
data
of
the
open,
url
and
nice
force
to
from
the
gt
and
to
provide
useful
information
for
the
community
manager
to
use
some
of
the
conclusions
when
consuming
the
product
or
producing
open
source.
Software
metrics
is
the
key
to
first
to
make
a
date
driving
decisions,
as
you
are
not
alone.
A
B
Yeah
and-
and
I
would
say
that
the
these
this
this
relationship
with
with
bill
together
and
and
using
chaos
as
a
starting
point,
so
basically
we
we
were
able
to
to
build
something
together.
That
was
useful
in
this
case
for
huawei,
where
we,
you
know,
we
added
the
previous
experience
of
the
of
viteria,
in
this
case
remote
lab
community
with
to
huawei
in
the
sense
of
having
gt
in
in
greenwald
lab
and
the
other
way
around.
B
So
thanks
to
huawei,
the
marla
community
and
other
companies,
arbiteria
are
are
having
now
gt
as
another
data
source
to
to
be
able
to
to
analyze
project
health,
to
analyze,
project
efficiency
and
community
shape,
as
the
use
case
we
saw
before
so,
I
would
say
that
this
is
a
really
great
use
case,
really
really
success
as
this
way
of
working
together
upstream
between
between
different
companies.
And
then
this
is
the
sentence
that
we
have
there
right.
B
That
says,
if
you
want,
if
you
want
to
go
fast,
there
is
a
typo
there
by
the
way
go
along,
but
if
you
want
to
go
far
go
together,
so
we've
been
able
to
go
far
by
being
together
because
now,
in
this
case,
the
community
collaborated
to
have
the
more
lab
angity-
and
this
is
this-
is
these-
are
the
basics
of
open
source?
This
is
open
source,
and
this
is
what
I,
what
I
love
from
them.
B
A
So
the
chaos
community
is
decided
to
foresting,
open
and
welcoming
environment
for
contributors.
Anyone
can
join
the
mailing
list,
participating
in
zoom
meeting
and
all
contributing
to
any
of
the
projects
at
any
time
now
we
also
have
a
chinese
version
of
the
recharge
public
count
to
publish
events
of
the
chaos.
China
and
recently
we
just
launched
a
chinese
chaos
podcast,
and
you
can
scan
the
that
code
to
to
find
out
more
information.