►
From YouTube: Metrics Models Working Group June 20, 2023
Description
Meeting summary can be found here: https://chaoss.discourse.group/t/metrics-models-working-group-summary-june-20/189
A
So
for
those
of
you
that
don't
know,
Don
Foster
is
joining
the
chaos
project
in
August,
as
the
Director
of
data
science,
which
will
undoubtedly
have
probably
pretty
big
implications
for
this
group
in
particular,
I
would
suspect,
as
we
think,
about
metrics
and
metrics
models
in
practice,
I'm
still
recovering
so
don.
If
you
want
to
say
anything,
I
think
everybody
on
this
list
probably
knows,
but
nonetheless.
B
Yeah
I
I
will
say
that
I'm
I'm
super
excited
I
I.
Think
like
like
Matt,
said
I'm
gonna
start
sometime
in
in
August,
so
so
what
I'll
do
is
my
kind
of
first
first
task
as
the
Director
of
data
science
to
start
putting
together
kind
of
a
plan
for
what
I'm,
what
I'm
going
to
do
and
let
everyone
provide
feedback
on
that
so
that
you
all
can
tell
me
whether
or
not
there
are
some
additional
things.
I
should
do.
B
Help
me
prioritize,
so
I
will
I
will
look
forward
to
that,
but
that
that's
probably
the
first
thing.
That's
probably
how
I'll
spend
a
chunk
of
Chuck
at
the
time
when
I
start
in
August
I
will
be
going
to
Fosse
in
Portland
and
I'll,
probably
in
July,
so
that's
July,
16th
17th
ish
somewhere
in
there.
B
So
I'll
probably
do
that
under
the
chaos
Banner,
because
I'll
I'll
have
left
VMware
so
so
Matt.
That's.
Why
I'm
trying
to
convert
my
presentation
over
to
the
template
so.
B
B
I
have
the
slide
template
the
the
issue
is
the
way
the
slide
template
was
built.
I
can't
get
high
resolution
images
of
the
backgrounds
that
they
used
and
I
need
to
convert
it
to
Keynote,
because
that's
what
I
use?
Okay.
C
B
B
Or
someone
who
knows
more
about
Google
Slides,
who
can
somehow
extract
those
the
high-res
images
that
were
used
to
build
it,
because
I
couldn't
figure
out
how
to
do
that?
But
don't.
C
I
was
gonna,
say:
I
can't
mess
with
it.
I
don't
know
that
I've
ever
tried
to
do
that,
but
I
can't
around
with
it
for
sure.
D
A
All
right
cool,
so
we
had
a
couple
metrics
models
from
last
time:
one
was
sustaining
contributors,
one
was
business
Readiness
and
then
one
was
this
influence
metric
model
yahui.
You
were
gonna.
Take
a
look
at
this
first,
sustaining
contributors.
Did
you
wanna?
Did
you
have
any
comments
on
that?
Did
you
make
any
progress?
It's?
Okay,
if
you
didn't
too.
E
A
E
Yeah
yeah
I
I,
actually
I
I,
just
prepared
this
very,
very
short,
slides
quickly
this
afternoon
and
and
but
actually
the
whole
things
was,
would
would
discussed
for
for
our
romance
together
with
the
professor
young,
who
also
attended
today's
meeting,
and
it's
about
contributors
profile
and
the
contributors
matrix
model,
we're
thinking.
We
are
thinking
about
a
lot,
how
to
create
the
full
view
of
a
contributors
profile
and
how
to
use
that
in
the
different
matrix
model
related
to
the
contributors.
So,
first
we
create
this
contributor
profile.
E
We
divided
the
whole
profile
into
three
dimensions.
First,
is
about
a
milestone
or
contribution
frequency
and
from
this
Dimension
they
category
provides
the
contributors
into
different
role
like
status,
who's,
never
touched
a
project
or
Community
before
Cairo.
You
know,
contributor
alleged
a
little
bit
more
or
less,
not
so
frequently
regular.
Who
is
a
long,
sustaining
a
contribution,
make
contribution
to
to
the
project
and
core
contribution
who
is
taking
the
main
workload
in
this
project
and
dormant,
which
means
who
is
not
active
anymore
as
one
state.
E
The
different
contributions
as
a
Starfall
coach,
which
is
the
most
simplest,
simple
contributions
for
community
and
issue
track
platform
like
we're,
using
GitHub
or
bugzilla,
to
track
the
issues
and
and
and
the
code
contributions
and
its
pull
requests,
and
also
about
Forum,
the
different
Forum
like
a
q,
a
forum
and
also
like
a
q,
a
forum
like
or
this
course
we
use
in
chaos
and
also
we
use
in
some
chat
platform
like
like
us,
like
at
the
media
channels,
Twitter's
Facebook
and
online
offline
events.
E
We
also
do
some
contributions
under
these
events,
so
we
creates
a
whole
contributor
profile
into
the
into
three
dimensions
and
around
these
three
dimensions.
We
create
the
matrix
model,
A,
contributor,
matrix
model,
and
especially
I
emphasize
here,
with
the
events
impacts,
so
the
whole
contributor
Matrix
models,
I
I,
divided
into
the
a
couple
of
the
different
sub
models
like
track
models,
activity,
model
mutation,
model,
promote
model
for
fit
out
model
and
re-engage
model,
and
under
this
each
of
single
contributor
matrix
model
combined
with
Pro
contributor
profile.
E
We
continue
to
to
divide
one
sub
model
into
another
second
level:
sub
model
like
Milestone
retention,
model,
Ico
rotation
model
and
types
retention
model,
or
what
does
that
mean?
So
a
track
model
means
the
people
who
never
touch
the
project
before
who
got
chance
to
come
into
the
project
and
and
make
the
first
contribution.
We
focus
at
this
part
and
the
activity
model.
E
Something
like
that
and
promote
and
fill
out
and
re-engage
means
the
different
thing,
and
so
the
contributor
could
be
get
promoted
from
a
Cairo
Cairo
contributor
to
to
a
regular
or
to
a
core
contribute
contributors
or
Fade
Out.
They
could
you
know,
from
core
contributor
fit
out
into
a
regular
or
or
or
career
contributors
really
engage,
because
some
contributors
would
you
know,
step
into
the
silence
for
for
over
years
or
months,
but
because
of
some
event
Trigger,
he
will
re-engage
into
this
specific
community.
E
E
You
know
some
online
offline
activities
and
priority
periodic
version
release
and
some
emergent
events.
You
know
some
big
news
in
open
source
world
or
in
the
industries,
something
like
chat
GDP
just
to
come
up
yeah.
E
E
They
step
into
the
different
state
like
first
people.
First,
these
people
who
never
touched
or
contribute
to
this
community
before
and
we
treat
it
like
the
state
race
and
after
because
he
makes
some
first
contribution
like
focus
on
or
make
pull
requests
or
even
ask
a
question
on
on
some
Forum.
Maybe
he
will
be
attract,
become
a
Cairo
and
Cairo
would
be
promoted
to
the
regular
and
even
so,
to
the
call
and
all
the
states
could,
you
know,
become
a
dormant
because
of
the
turn
and
also
call
regular,
Cairo
and
Donald.
E
These
four
states
could
be
changed
from
one
to
another
because
of
the
contribution
change
and
their
their
states
change,
and
they
use
this
concept
and
doing
some
verifications
on
some
big
projects
or
communities,
so
we're
using
three
communities,
as
our
first
try
out
examples.
So
here
first,
is
the
rust
project.
This
is
the
programming
language
and
focus
on
the
focus
on
the
memory
security
things
which
is
very
popular,
not
only
some
big
company.
How?
How
interested
on
that
many
many
individual
person
make
a
great
contribution
into
this
community.
E
The
interesting
thing
is
that
I
can
I
can
give
you
a
general
interaction
for
each
a
bar
means
it's
a
different
year
and
the
current
one
means
the
country
has
regular
contributors,
and
this
purple
bar
means
the
the
new
regular
country
new,
regular
contributors
attracted
this
year.
So-
and
this
is
the
current
core
contributors
and
the
the
blue
one
means
and
the
new
call
contributors
attracted
in
this
year.
E
This
is
the
new
core
contributors
so
which
you
can
say
that
the
core
contributors
from
this
color,
yellow
color
become
more
and
more
no
matter
the
count
and
also-
and
they
keep
the
very
stable
increase
into
change
and
the
regular
amount
also
Inc
keep
increasing,
and
this
increase
change
has
been
kept
up
over
more
than
10
years
from
the
earliest
history,
from
2010
into
the
current
year
in
the
in
the
last
year.
E
2022-
and
this
is
the
first
community-
and
we
can
see
another
community-
it's
a
this-
is
best
code,
another
very
famous
open
source
project,
including
myself,
also
using
it
quite
a
lot
of
times,
and
you
can
say
that
in
the
in
the
2070
and
the
contributors
I
mean
the
core
contributors
together
with
regular
computer
builders
has
become,
the
Harris
has
achieved
the
highest
number
and
after
that
it's
decreased.
But
so
far
you
can
say
it's
it's
come
up
again,
which
means
some
some
big
news
or
some
good
news
happened
into
this
area.
E
Like
vs
code
integrates
some
useful
plugins,
something
like
a
copilot,
so
many
people
start
using
under
three
contribution
back
to
this
community
and
another.
Another
example
is
kubernetes.
E
As
you
can
see
that
and
actually
a
we
started,
the
history
data
from
the
2014
and
the
and
you
can
see
in
the
2019
and
the
code,
core
contributors
and
the
underlying
contributors
achieved
high
risk
numbers
in
this
year
and
after
that,
it's
decreased.
But
the
interesting
thing
is
that
the
amount
of
contributors
I
mean
the
call
contributors.
E
They
are
very
stable,
not
decreased.
They
are
the
rest,
almost
keep
the
same.
So
if
weaker,
if
you
treat
this
curve,
something
like
a
gardener
curve,
I
mean
in
the
2019.
Maybe
they
have
changed.
The
highest
amount
attracts
a
lot
of
different
people
into
this
project,
but
our
flight.
E
It
will
decrease
its
normal
things,
but
we
believe
that,
because
of
the
core
contributors
keep
the
same
size,
they
will
come
up
again
into
a
stable
curve,
something
like
vs
code
here
and
but
still
the
the
First
Community
I
mean
the
rust
gave
me
a
shock
after
I
saw
this
thing.
E
Thank
you
graph.
In
the
past.
Over
10
years,
this
project
incredibly
increased,
no
matter
the
regular
contributors
and
core
contributors.
So
this
is
just
for
a
three
three
examples:
I
use
the
Milestone
or
frequency
profiles
and,
together
with
with
some
attraction,
some
traction
and
and
the
reservation,
our
orientation
model
to
describe
the
different
change
or
change.
I
think,
and
we
can
see
some
interesting
information
from
here
and
in
the
future.
I
would
like
to
extend
and
Implement
more
Matrix
models
around
around
contributors.
Maybe
there's
more.
E
A
So,
thank
you.
You
make
beautiful
things.
I
can
say
that
they're
very
easy
to
look
at
and
very
easy
to
understand.
I
love
it
yeah.
B
This
is
really.
This
is
really
fascinating.
I
really
I
really
love
the
way.
You've
done
this,
because
what
I?
What
I,
really
like
about
it
is,
is
that
you
can
see
what
happened
to
the
regular
contributors
that
left.
You
know
you
can
see
that
you've
attracted
some
regulars
and
then
they've
stayed
regulars.
B
You
know,
and
some
of
your
cores
have
have
left
and
gone
other
places.
It's
it's
really.
It's
really
interesting
to
see
to
see
the
evolution
and
and
this
type
of
visualization
I
I
yeah
I,
find
it
really
interesting.
A
E
I'm
thinking,
if
this
question
asks
me
how
to
use
that
the
for
for
the
first
scenario
or
case
is
that
for
the
different
they
have
the
different
promote
of
result
pass,
and
so,
if
we
could
abstract
the
general
pattern
from
the
different
communities,
they
could
clearly
know
what
happened
in
one
Community,
especially
for
to
to
promote
more
contributors
into
this
community,
and
also,
if
we're
thinking
about,
is
what
I
mentioned
earlier
about
event
impact.
E
What
kind
of
thing
would
have
a
big
impact
to
this
community
if
we
add
some
time
time
tag
into
these
communities,
change
I
mean
the
whole
Trend
change.
We
could
find
some
interesting
thing
and
also,
if
we
add
ecosystem
contributor
profile,
that
dimension,
we
clearly
know
who
have
a
big
interest
on
some
specific
community,
no
matter
as
organizations
or
individuals.
B
I
think
that
this
would
be
particularly
also
interesting
to
look
at
because
I
think
it's
important
to
you
know,
especially
for
the
projects
that
you're
maintaining.
So
you
know,
kind
of
the
company
originated
open
source
projects.
What's
what's
happening,
you
know
with
that.
Are
you
are
you
attracting
contributors,
or
is
it
kind
of
the
same?
The
same
group
of
people
continuing
to
do
all
of
the
all
of
the
work
and
I
think
also
from
an
Hospital
perspective.
B
It
might
be
sort
of
interesting
to
look
at
kind
of
an
aggregated
view
across
you
know
certain
types
of
projects
or
sets
of
projects
and
I
think
this
is
a
this.
Would
be
a
good
way
of
understanding
whether
or
not
you
have
enough
contributors
to
sustain
the
work
that
you're
trying
to
do
over
time?
I
think
it
would
be
an
interesting
way
to
look
at
it
from
from
ospo's
I'm
curious,
I'm,
really
curious.
What
Gary
thinks.
G
Yeah
I
mean
I,
think
this
model
of
how
we
think
about
contributors
is
a
very
in-depth
and
comprehensive
way
to
think
about
how
people
get
involved
in
projects
how
they
may
manage
their
relationship
with
the
project
over
time
and
I'm
interested
like
what
metrics
we
can
attribute
specifically
to
the
transition
states
there,
because
I
saw
that
really
that
awesome
like
graph
that
flowchart
of
they
start
here
they
go
here.
They.
F
G
Up
here
and
I
feel
like
there's
a
lot
to
dig
into
on
how
each
one
of
those
States
happens
if
we
have
metrics
for
each.
That
would
contribute
to
the
likelihood
of
that
happening,
because
this,
like
idea,
feels
kind
of
like
a
super
model.
The
same
way
that
don
you
had
mentioned
viability
feels
big
enough
that
maybe
we
should
break
it
into
like
three
or
four
different
things.
G
It
feels
like
large
enough
that
I
would
want
to
know
when
am
I
at
risk
to
see
a
maintain
or
churn
or
when
am
I
at
risk
to
see
a
maintainer
come
back
or
when
am
I
at
risk
to
see
folks
turn
into
from
casual
to
regular
maintainers.
You
know,
and
is
there
anything
that
projects
can
do
to
you
know
lean
on
different
metrics
or
different
strategies
to
try
to
create
that
change
depending
on
their
state
and
where
they
are
in
their
maturity.
G
As
far
as
like
how
it
fits
into
viability
in
general,
I
think
that
contributors
is
a
very.
This
would
be
great
to
roll
into
viability,
because
the
proxy
that
I
have
for
what
this
does
is
not
as
clear.
It's
not
as
concise
as
this
model
with
I.
Think
you're
really
just
amazed
me
with
this
graphic
because
it
looks
so
cool
but
yeah.
It's
I
hope
I
said
enough
to
to
not
lead
with
that
foreign.
F
I
have
a
technical
question.
This
is
like
so
amazing
that
just
looking
at
it
and
the
flow
it's
so
clear,
like
you
know,
the
message
is
Crystal
Clear
from
from
a
technical
perspective
perspective.
How
did
like?
What
is
the
criteria
that
you
used
to
classify
like
okay?
If
they
have
made
10
commits,
then
they
are
turning
into
core
and
then
or
regularly?
What
is
the
criteria
that
help
you
to
move
the
particular
contributor
from
a
court
or
regular
or
different
state
like?
F
Are
there
any
particular
data
points
that
you
choose
to
decide
those
things
I
I.
E
Think
I
think
this
question
is
a
very
good
question.
That's
that's.
Why,
like
us,
four
four
or
five
weeks
ago,
I
I
got
questions
on
slack
to
Dawn,
so
how
to
like
how
to
distinguish
the
call
contributors
and
code
or
on
so
I
mentioned
a
pirate
concept
and
and
the
bus
Factor.
Something
like
that,
and
but
after
that,
I
I
do
understand
how
to
distinguish
the
core
contributor
or
regular,
contributed.
E
Regular
contributors
really
have
some
context
upon
different
communities,
so
I
would
like
to
so
in
my
case
I
still
using
the
you
know
the
whole
contributions
divided
into
the
fifty
percent.
Fifty
percent
sorry
80
contributions
in
a
whole
year
which
was
taking
or
making
and
by
the
smallest
group
of
people.
We
treated
things
as
a
contributor
for
the
regular
contributor,
Matrix
Matrix
thing,
who
should
give
a
sustaining
contribution
like
at
least
one
month
in
the
in
the
12
months
of
each
year.
E
They
have
to
make
at
least
one
contribution
in
each
of
single
months,
which
means
the
regular
regular
so
but
I
I
do
believe
that
this
distinguish
is
not
a
common
solution
to
distinguish
or
to
give
them
the
con
definition
of
regular
or
call
so
I
I'm,
very
open
to
to
make
any
new
definitions
for
the
regular
and
and
the
core
and
I
would
treat
it
as
a
flexible
way
to
define
the
different
definition
based
on
the
different
contacts.
That's
my
answer.
May
not.
Okay,.
F
Yeah
no
thank
you.
Thank
you.
This
is
still
helpful,
like
I
was
more
thinking
of
how
we
can
contextualize
it
to
different
communities.
Some
has
a
different.
You
know
pattern
of
contribution,
but
still
the
way
you
have
adopted
it
like
keeping
50
and
the
other
at
least
one
which
makes
a
sense
in
different
context.
So
I
I
still
feel
like
this
is
still
a
valid
way
of
classifying
them.
F
F
F
E
I
only
make
exceptional
case
for
the
star
folk
watch,
which
would
not
content
into
the
contribution
either
as
a
core
or
or
regular
contributions,
okay,
but
for
the
rest
of
the
other
contributions,
this
should
be,
in
my
case,
I
recognize
things
either
as
a
one
type
of
contribution.
Okay,
in
the
background
call
so.
E
Honestly
speaking,
I
only
because
of
the
data
sources
limitations
so
far,
currently
we
only
considered
issue,
part
proquest
part
and
the
slack
part
select,
Channel,
part
and
and
Twitter.
A
E
No
I
think
all
the
contributions
I
so
far
as
I
know,
should
share
the
same
weight.
Okay,
until
we
got
some
more,
you
know
more
suitable
way
to
to
give
them
the
different
weight.
F
D
Thank
you
for
the
introduction
and
I
think
the
model
is
really
impressive.
My
suggestion
is,
maybe
we
can
develop
a
family
of
metrics
based
on
the
based
on
the
model.
For
example,
the
number
of
new
members
joining
the
project,
the
percentage
of
poor
members
staying
in
the
project
all
based
on
the
the
gravity
graph
model
is
just
shown
as
yeah
yeah
I
I
just
have
a
suggestion.
Okay,.
E
A
Okay,
so
this
is
I
think
we
could
probably
talk
about
this
the
entire
time,
but
we
do
have
a
few
other
things
on
the
agenda.
I
guess
one
one
question
for
you,
Yahoo
and
Liang
is
where,
where
do
you
want
to
go
with
this?
So
I
mean
it
seems
like
it's
extremely
positively
well
received
from
this
group,
and
so
how?
What
do
you
think
the
next
steps
for
this
are
yeah.
E
A
A
E
Because
you
can't
say
that,
for
the
h0
single
model,
we
divided
it
into
again
into
the
Sub
sub
models
like
Milestone
retention,
High
code
retention
and
types
of
retention
model.
So
in
total
count
so
far
we
can
say
it's
how
many
like
18.
E
E
Would
you
already
care
about
how
many
people
has
been
reserved
in
one
Community
because
of
some
reasons
like
like?
We
have
released
some
very
good
fantastic
features
in
the
in
one
project,
and
we
will
see
okay,
they
speak
things
or
events
has
has
helped
me
to
return
some
people
and
a
lot
of
people
in
that
period
has
been
retained
and
because
of
I
gave
some
some
very
quiet
features
make
me
lose
a
lot
of
core
contributors.
A
E
A
Yeah
that'd
be
super
helpful,
at
least
for
me,
to
just
kind
of
get
my
sense
on
how
we
can
build
this
out.
Yep
yep
sure,
okay,
great
thanks,
all
right.
That
was
pretty
cool,
any
any
last
comments
for
you,
Hui
or
or
Liang.
A
Well,
we're
I
promise.
We
won't
get
through
our
entire
agenda,
but
that's
okay!
A
F
H
A
Actually
I
mean
vinod
two,
if
you
can
I
mean,
maybe
if
you
can
just
do
it,
asynchronously
yes,
I
mean
because
it
like
I
said
it
seems
like
this.
One
was
pretty
much
ready
to
go
right
perspective,
so
maybe
you
could
just
post
in
the
metrics
model,
Channel.
Okay,
when
you
think
it's
good
to
go
and
we
could
just
carry
on
the
conversation
there
right
thanks
finad
and
then
there
was
this
influence,
metrics
model
and
it's
currently
a
metric.
A
A
C
D
C
I
would
say,
most
of
the
work
will
will
come
in
just
the
rewording,
the
doc
that
we
have
into
and
fitting
it
into
more
of
a
metrics
model.
Template
okay,.
A
A
Okay
and
then
maybe
before
we
do
it,
we
could
kind
of
like
what
Bernard
would
do
just
take
a
look
at
this
like
share
it
asynchronously
with
folks.
A
This
is
for
yahui
as
well,
so
I
was
I
kind
of
went
through
through
this
I
cleaned
it
up
a
little
bit
just
to
get
everything
towards
the
top,
but
one
of
the
requests
was
to
take
a
look
at
the
different
metrics
models
that
we
have
with
respect
to
the
different
metrics
that
are
in
those
metrics
models
and
take
a
look
at
which
of
those
metrics
are
probably
higher
priority
and
which
are
lower
priority.
Is
that
rightlying
or
I'm?
Sorry?
A
Is
that
right,
that's
kind
of
what
you're
asking
for
yep,
and
so
it
took
a
little
bit
of
time
to
go
through
I
had
a
few
questions
that
came
from
this
and
it
kind
of
raises
a
a
another
question.
So
one
was
I
think
from
the
starter
project.
Health
metric
model
perspective,
I,
put
all
of
these
as
high.
We
have
these
all
pretty
well
defined.
A
There
are,
you
know
like
this
is
technically
time
to
First
Response,
that's
technically
one
metric
that
we
have
released
in
chaos
and
you
have
it
broken
out
as
two
that's
I
have
that's
fine,
you
know,
and
that
happened
just
a
few
times.
A
There
were
a
few
metrics
in
here.
So,
for
example,
like
code
contributor
count,
I
just
put.
Is
this
the
same
as
contributors
based
on
our
list
that
we
have
over
here
and.
E
E
A
Okay,
yeah
so
I,
guess
that
should
I
should
I
care
too
much
I,
don't
know
what
your
thoughts
are
on
like
these
are
the
metrics
that
are
inside
of
that
are
being
used
by
Compass,
like
if
I
click
on
any
one
of
these
These
are.
The
metrics
that
are
in
chaos
should
I
care
too
much.
What
do
people
think
should
I
care
too
much
about
the
fact
that
these
don't
align
perfectly.
A
E
Know
what
I
mean
yeah
I
understand,
because
in
our
chaos
metrics
we
really
have
there
are
metrics
have
a
different
level.
Some
some
Metric
is
very
atomic.
E
So
in
that
case
we
I
have
to
add
some
more
correct
words
to
to
to
to
to
describe
this
special
case.
That's
why
I
use
the
different
name,
yeah,
yeah,
yeah,
yeah,
so
I
don't
know
how
to
handle,
but
but,
as
I
mentioned,
actually
they're
all
coming
from
our
chaos.
Metrics.
A
D
A
F
Like
it's
a
time
if
these
things
are
like
as
a
context,
they
feel
the
different
name
is
more
suitable,
then
we
can
really
think
our
metrics
that
we
have
because
it's
a
we
defined
on
the
contextual
based
on
more
on
the
thinking
process,
but
the
implementation
might
need
a
revised
name.
So
maybe
we
can
look
at
the
Matrix,
for
the
revision
in
the
name
can
be
one
option
too.
Okay,.
A
My
my
reaction
is
I'm,
a
like
At.
First
I
was
like
oh,
we
should
keep
these
things
aligned
perfectly,
but
then
the
better
part
of
me
is
like
that
is,
is
different
people
to
play
different
metrics
in
different
ways
like
that
would
be
kind
of
an
errand
or
a
task
in
the
chaos
project.
That
would
probably
drive
us
crazy
to
be
honest
with
you
as
different
pieces
of
software
kind
of,
are
inspired
and
deployed
different
metrics
in
different
ways.
A
A
Tell
people
yeah
this
was
inspired
by
this
metric
or
these
that
would
maybe
that
would
be
probably
perfect
and
that
I
do
think
as
part
of
this.
So
that's
a
great
suggestion
there.
There
are
a
couple
metrics
in
here
so,
for
example,
commit
PR
link
Ratio
or
there
was
another
one
like
opr
issue,
linked
ratio
that
we
don't
have
in
chaos
and
I
think
this
is
interesting
because
I
we've
talked
about
this
before
and
I
think
some
of
these
are
quite
quite
interesting.
I.
E
A
You
correctly
I,
don't
think
we
have
linked
ratio-
okay,
okay,
but
so
like
this
is
also
inspirational
for,
for
me,
like
I,
look
at
some
of
these
I'm
like
well.
This
is
silly.
Why
don't
we
like
this
was
such
a
straightforward
metric?
It's
probably
something
we
should
think
about
anyway,
so
so
with
that
in
mind,
I'll
kind
of
continue
to
go
through
here
and
think
about
anyway,
with
with
this
conversation
in
mind,
I'll
continue
to
kind
of
work
through
this
list
and
just
consider
what
I
own
my
own
personal
opinion
is.
A
A
C
H
You
were
talking
about
how
the
software
project
might
relate
for
for
the
chaos
project,
whether
we
might
consider
for
some
of
the
models
that
the
especially
like
I
was
looking
at
the
starter
model,
whether
linking
that
to
actual
implementation
could
be
a
priority
for
places
that
we're
looking
at
as
starting
places
for
people
so
that
when
they
open
something
like
the
starter
model,
it's
like
really
clear
how
to
get
to
the
pieces
of
software
that
have
implemented
it.
H
So
it
would
be
only
you
know
what
is
it
four
or
five
metrics
that
we're
really
trying
to
keep
some
kind
of
some
kind
of
documented
link
to
implementation
in
place.
A
F
F
A
A
A
A
Thank
you,
everybody
for
joining
us.
It
was
great
there's
more
to
talk
about
and
I
think
we
have
some
things
that
we
can
start
off
with
next
week.
I
will
say
this
next
twos.
The
Tuesday
two
weeks
from
now
is
that
the
Fourth
of
July.
A
If,
if
you
all
want
to
meet
that's
great
I'm
going
to
be
out
of
town
anyway,
like
I'm,
taking
my
daughter
to
Atlanta
and
so
I
will
not
be
available,
but
the
meeting
will
be
open
and
available
if
you'd
like,
and
maybe
we
can
talk
about
it
asynchronously
as
well.
But
my
guess
is
it's
going
to
be
pretty
lightly
attended
in,
particularly
in
the
United
States.
So,
okay,
great
thanks,
everybody,
it's
good
to
see,
see
y'all
I,
really.