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cr
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5
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2
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1
7
:
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8
4
7
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5
4
2848
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d
el
an
d
f
o
r
th
e
ta
ilo
r
ed
m
o
d
el
it h
as so
m
e
l
i
m
itatio
n
s
f
o
r
b
ein
g
s
h
ap
ed
b
y
ce
r
tain
p
er
s
p
ec
tiv
e
an
d
u
s
ed
f
o
r
ce
r
tain
p
r
o
d
u
cts
[
1
4
]
.
E
ac
h
s
o
f
t
w
ar
e
q
u
alit
y
m
o
d
el
h
a
s
s
o
m
e
ch
ar
ac
ter
is
t
ics
an
d
s
u
b
-
ch
ar
ac
ter
i
s
tics
;
th
u
s
f
o
r
m
in
g
th
e
h
ier
ar
ch
y
m
o
d
el.
T
h
e
m
o
d
el
o
f
s
o
f
t
w
ar
e
q
u
alit
y
b
ased
u
p
o
n
I
SO
Sq
u
a
R
E
is
d
iv
id
ed
i
n
to
2
:
p
r
o
d
u
ct
q
u
alit
y
a
n
d
q
u
al
it
y
i
n
u
s
e.
T
h
e
p
r
o
d
u
ct
q
u
al
it
y
in
cl
u
d
es
f
u
n
ctio
n
al
s
u
itab
ili
t
y
,
p
er
f
o
r
m
a
n
ce
e
f
f
icie
n
c
y
,
co
m
p
atib
ilit
y
,
u
s
ab
ilit
y
,
r
eliab
ilit
y
,
s
ec
u
r
i
t
y
,
m
ai
n
tai
n
ab
ilit
y
an
d
p
o
r
tab
ilit
y
[
8
]
.
B
o
eh
m
m
o
d
el
r
ese
m
b
les
Mc
C
all
m
o
d
el
in
t
h
e
d
escr
ip
ti
o
n
o
f
t
h
e
h
ier
ar
c
h
y
st
r
u
ct
u
r
e
f
r
o
m
th
e
c
h
ar
ac
ter
is
tics
in
w
h
ic
h
ea
c
h
o
f
t
h
e
m
c
o
n
tr
ib
u
tes
to
t
h
e
en
tire
q
u
alit
y
.
Me
an
w
h
ile,
I
S
O
9
1
2
6
h
as
s
ix
ch
ar
ac
ter
is
tics
o
f
th
e
ev
al
u
atio
n
o
f
s
o
f
t
w
ar
e;
th
o
s
e
ar
e
f
u
n
c
tio
n
ali
t
y
,
r
e
liab
ilit
y
,
u
s
ab
il
it
y
,
ef
f
icien
c
y
,
m
ai
n
tai
n
ab
ilit
y
a
n
d
p
o
r
tab
ilit
y
[
1
5
]
.
B
ased
o
n
th
e
d
ev
elo
p
m
en
t
o
f
th
e
m
o
d
el
o
f
s
o
f
t
w
ar
e
q
u
a
lit
y
,
th
en
it
is
d
ee
m
ed
n
ec
ess
ar
y
to
co
n
d
u
ct
r
e
s
ea
r
ch
o
n
t
h
e
tr
e
n
d
d
ev
elo
p
ed
in
th
e
last
d
ec
ad
e
f
o
r
a
n
i
m
p
r
o
v
e
m
en
t.
2
.
2
.
E
m
pir
ica
l M
et
ho
d VS
A
na
ly
t
ica
l
M
et
ho
d
A
d
o
p
tin
g
t
h
e
ter
m
o
f
U
s
ab
ilit
y
E
v
al
u
at
io
n
Me
th
o
d
,
th
e
s
o
f
t
w
ar
e
q
u
alit
y
m
ea
s
u
r
e
m
e
n
t
is
d
iv
id
ed
in
to
2
: E
x
p
er
t E
v
alu
a
tio
n
(
ca
lled
a
s
th
e
a
n
al
y
tical
m
et
h
o
d
)
an
d
U
s
er
T
esti
n
g
(
ca
lled
as
th
e
e
m
p
i
r
ical
m
et
h
o
d
)
[
1
0
]
,
[
1
1
]
,
[
1
6
]
.
T
h
e
an
al
y
tical
UE
Ms
in
cl
u
d
es
He
u
r
is
tic
E
v
al
u
at
io
n
,
C
o
g
n
iti
v
e
W
alk
t
h
r
o
u
g
h
,
Gu
id
eli
n
es,
GOM
S,
an
d
s
o
o
n
[
1
7
]
.
On
th
e
o
th
er
h
an
d
,
e
m
p
ir
ical
UE
Ms
co
v
er
s
an
y
m
et
h
o
d
s
an
d
p
r
o
ce
d
u
r
es
f
r
eq
u
en
tl
y
ca
lled
a
s
User
T
esti
n
g
s
u
c
h
a
s
User
P
er
f
o
r
m
a
n
ce
T
est,
Usab
ilit
y
T
est
a.
k
.
a
T
h
in
k
in
g
A
lo
u
d
,
o
r
R
e
m
o
te
Usab
ilit
y
T
est,
B
eta
T
est,
Fo
r
u
m
T
est
,
C
o
o
p
er
ativ
e
E
v
al
u
atio
n
a
n
d
C
o
a
ch
in
g
Me
t
h
o
d
.
I
n
ad
d
itio
n
to
th
e
an
al
y
tica
l
an
d
e
m
p
ir
ical
m
et
h
o
d
s
,
th
er
e
i
s
a
n
o
th
er
m
et
h
o
d
f
o
cu
s
ed
o
n
t
h
e
test
o
f
t
h
e
u
s
er
li
k
es,
u
s
er
d
is
lik
e,
n
ee
d
s
a
n
d
s
y
s
te
m
co
m
p
r
e
h
e
n
s
io
n
b
y
a
s
k
in
g
t
h
e
u
s
er
s
,
o
b
s
er
v
atio
n
o
r
q
u
esti
o
n
-
a
n
s
w
er
i
n
s
p
o
k
e
n
an
d
in
w
r
it
ten
.
T
h
o
s
e
m
et
h
o
d
s
in
cl
u
d
e
User
Sati
s
f
ac
tio
n
Qu
e
s
tio
n
n
air
e,
Field
Ob
s
e
r
v
atio
n
,
Fo
cu
s
Gr
o
u
p
,
an
d
I
n
te
r
v
ie
w
[
1
8
]
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
is
r
esear
ch
u
s
ed
S
y
s
te
m
at
ic
Ma
p
p
in
g
S
tu
d
y
to
b
u
ild
th
e
s
ch
e
m
e
clas
s
i
f
icatio
n
to
s
h
o
w
t
h
e
f
r
eq
u
en
c
y
o
f
p
u
b
licatio
n
,
to
d
eter
m
i
n
e
th
e
s
co
p
e
in
t
h
e
ce
r
t
ain
f
ield
,
an
d
to
co
m
b
i
n
e
th
e
r
esu
lt
s
i
n
an
s
w
er
i
n
g
th
e
r
esear
c
h
q
u
e
s
tio
n
s
m
o
r
e
s
p
ec
if
icall
y
to
s
tr
u
ct
u
r
e
t
h
e
r
es
ea
r
ch
t
y
p
e
a
n
d
t
h
e
r
es
u
lt
s
b
y
class
i
f
y
in
g
t
h
e
ar
ea
.
S
y
s
te
m
a
tic
Ma
p
p
in
g
St
u
d
y
is
a
m
et
h
o
d
th
at
in
itiall
y
h
as
b
ee
n
u
s
ed
in
m
ed
icin
e
clas
s
i
f
icati
o
n
b
u
t
r
ec
en
tl
y
it
is
also
ap
p
lied
in
s
o
f
t
w
ar
e
en
g
i
n
ee
r
in
g
f
ield
[
1
9
]
.
T
h
er
e
ar
e
f
iv
e
s
tep
s
in
S
y
s
te
m
atic
Ma
p
p
i
n
g
St
u
d
y
i
n
cl
u
d
in
g
d
ef
in
i
n
g
t
h
e
r
esear
c
h
q
u
esti
o
n
,
s
ea
r
ch
i
n
g
t
h
e
r
ele
v
an
t
p
ap
er
s
,
f
ilter
in
g
th
e
p
ap
er
s
b
ased
o
n
t
h
e
ab
s
tr
ac
t,
an
d
m
ap
p
in
g
t
h
e
d
ata
ex
tr
ac
tio
n
.
E
ac
h
p
r
o
ce
s
s
h
as
a
r
es
u
lt,
an
d
ea
ch
r
e
s
u
l
t
o
f
d
ata
m
i
n
i
n
g
is
u
s
ed
to
m
a
k
e
a
m
ap
[
1
3
]
.
Fig
u
r
e
1
s
h
o
w
s
th
e
s
tep
s
in
t
h
e
m
eth
o
d
o
f
S
y
s
te
m
atic
Ma
p
p
in
g
St
u
d
y
.
As
t
h
e
f
ir
s
t
p
h
ase,
t
h
e
r
esear
ch
er
d
ef
in
e
s
R
esear
ch
Q
u
est
io
n
(
R
Q)
to
e
m
p
h
asize
t
h
e
p
ar
ticu
lar
ar
ea
.
T
h
e
r
esu
l
t
o
f
t
h
e
d
eter
m
in
atio
n
o
f
R
is
t
h
e
r
esear
ch
s
co
p
e.
I
n
t
h
e
s
ec
o
n
d
s
tep
,
th
e
r
esear
ch
er
s
id
en
tify
,
cr
ea
te
an
d
te
s
t
t
h
e
s
tr
i
n
g
o
f
th
e
s
ea
r
ch
i
n
g
i
n
th
e
s
cien
t
if
ic
d
atab
ase
to
f
i
n
d
th
e
r
elev
an
t
p
ap
er
s
.
T
h
e
s
tr
in
g
o
f
s
ea
r
ch
in
g
i
s
f
o
u
n
d
f
r
o
m
th
e
R
esear
ch
Q
u
es
tio
n
.
Su
b
s
eq
u
e
n
tl
y
,
t
h
e
r
esear
ch
er
s
r
ea
d
all
titl
es,
ab
s
tr
ac
ts
an
d
p
ap
er
s
(
r
ea
d
in
g
in
d
etail)
to
d
ec
id
e
th
e
ap
p
r
o
p
r
iate
p
ap
er
b
ased
o
n
th
e
i
n
clu
s
io
n
an
d
ex
cl
u
s
io
n
ar
ea
.
T
h
e
last
s
tep
is
d
ata
ex
tr
ac
tio
n
an
d
t
h
e
m
ap
p
in
g
p
r
o
ce
s
s
r
esu
lti
n
g
in
t
h
e
s
y
s
te
m
at
ic
to
en
ab
le
th
e
r
esear
c
h
er
s
to
d
r
a
w
t
h
e
co
n
cl
u
s
io
n
o
f
th
e
d
ata
o
b
tai
n
ed
.
D
e
f
i
n
i
t
i
o
n
o
f
R
e
s
e
a
r
c
h
Q
u
e
s
t
i
o
n
P
r
o
c
e
s
s
S
t
e
p
s
O
u
t
c
o
m
e
s
R
e
v
i
e
w
S
c
o
p
e
S
e
a
r
c
h
i
n
g
o
f
P
a
p
e
r
s
A
l
l
P
a
p
e
r
s
S
c
r
e
e
n
i
n
g
o
f
P
a
p
e
r
s
R
e
l
e
v
a
n
t
P
a
p
e
r
s
K
e
y
w
o
r
d
i
n
g
o
f
a
b
s
t
r
a
c
t
C
l
a
s
s
i
f
i
c
a
t
i
o
n
S
c
h
e
m
e
D
a
t
a
E
x
t
r
a
c
t
i
o
n
a
n
d
M
a
p
p
i
n
g
P
r
o
c
e
s
s
S
y
s
t
e
m
a
t
i
c
M
a
p
Fig
u
r
e
1
.
T
h
e
s
y
s
te
m
atic
m
ap
p
in
g
s
tu
d
y
p
r
o
ce
s
s
[
1
3
]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2088
-
8708
A
S
ystema
tic
Ma
p
p
in
g
R
ev
iew
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f S
o
ftw
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r
e
Qu
a
lity Mea
s
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r
eme
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t:
R
esea
r
ch
…
(
Ten
ia
W
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h
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n
in
g
r
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m)
2849
4.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
4
.
1
.
Def
ini
t
io
n o
f
Resea
rc
h Q
ue
s
t
io
n
T
h
e
f
ir
s
t
p
h
ase
o
f
th
i
s
r
esear
c
h
w
as
to
d
ef
i
n
e
t
h
e
R
e
s
ea
r
ch
Qu
est
io
n
(
R
Q)
to
id
en
ti
f
y
t
h
e
s
co
p
e
o
f
r
ev
ie
w
.
T
h
e
q
u
es
tio
n
w
as
m
ad
e
b
y
f
o
llo
w
i
n
g
t
h
e
P
I
C
O
s
tr
u
ct
u
r
e
(
P
o
p
u
latio
n
,
I
n
ter
v
e
n
tio
n
,
C
o
m
p
ar
i
s
o
n
,
R
es
u
lt)
[
1
9
]
.
T
ab
el
1
s
h
o
w
s
th
e
P
I
C
O
s
tr
u
ctu
r
e
f
r
o
m
t
h
e
r
esear
ch
q
u
est
io
n
s
a
n
d
T
ab
le
2
p
r
esen
ts
th
e
d
escr
ip
tio
n
o
f
th
e
li
ter
atu
r
e.
T
ab
le
1
.
Su
m
m
ar
y
o
f
P
I
C
O
T
ab
le
2
.
R
esear
ch
Qu
es
tio
n
s
4
.
2
.
Sea
rc
hin
g
o
f
P
a
pers
T
h
e
s
ec
o
n
d
p
h
ase
o
f
S
y
s
te
m
atic
Ma
p
p
in
g
P
r
o
ce
s
s
w
a
s
t
o
s
ea
r
ch
th
e
p
ap
er
co
r
r
elate
d
w
it
h
th
e
R
esear
ch
Qu
e
s
tio
n
s
.
T
h
e
b
est
w
a
y
w
a
s
b
y
m
a
k
i
n
g
th
e
s
ea
r
ch
s
tr
i
n
g
t
h
at
is
b
y
s
tr
u
ct
u
r
in
g
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w
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d
s
b
ased
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p
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n
P
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C
O
as
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le
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h
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k
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ch
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ed
to
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ch
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h
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p
ap
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as f
o
llo
w
s
:
(
“
s
o
f
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ite”
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ap
p
licatio
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D
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SO/IE
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SQu
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R
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Mc
C
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Dr
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.
3
.
Scre
ening
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f
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pers a
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ey
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rding
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f
Abs
t
ra
ct
Ke
y
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ap
p
lied
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p
ap
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ased
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n
th
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t
itle,
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s
tr
ac
t
an
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co
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te
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t
h
at
co
r
r
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d
to
th
e
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d
atab
ase
n
a
m
el
y
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x
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lo
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ieee
x
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lo
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ieee
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o
r
g
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,
Sco
p
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www
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s
co
p
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co
m
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a
n
d
Scie
n
ce
Dir
ec
t
(
www
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s
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ce
d
ir
ec
t.c
o
m
)
.
Fro
m
t
h
e
r
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u
lt
o
f
t
h
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a
u
t
o
m
a
tic
p
ap
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s
ea
r
ch
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n
g
in
th
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r
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ch
d
atab
ase,
3
0
8
p
ap
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s
h
av
e
b
ee
n
o
b
tain
ed
w
ith
t
h
e
f
o
llo
w
i
n
g
d
etails:
7
7
I
E
E
E
x
p
lo
r
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,
2
1
1
Sco
p
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,
an
d
2
0
Scien
ce
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ir
ec
t.
On
ce
tak
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n
g
th
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lt
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ap
p
lied
th
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s
elec
tio
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ilter
th
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ca
n
d
id
ates.
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ll
p
ap
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s
o
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tain
ed
f
r
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m
t
h
e
r
esear
ch
d
atab
ase
w
o
u
ld
b
e
s
elec
ted
b
ased
o
n
th
e
in
cl
u
s
io
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d
ex
cl
u
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cr
iter
ia
th
at
w
e
r
e
u
s
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m
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s
co
p
e
ar
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b
tain
ed
f
r
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m
S
y
s
te
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atic
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p
p
in
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St
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y
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h
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eli
m
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p
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s
s
w
a
s
co
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d
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f
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th
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ex
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te
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t
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th
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clu
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ar
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ter
s
ea
r
ch
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g
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d
f
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lter
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th
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ap
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4
2
r
elev
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t
p
ap
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w
er
e
o
b
tain
ed
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T
ab
le
3
s
h
o
w
s
th
e
in
c
lu
s
io
n
a
n
d
ex
cl
u
s
io
n
cr
iter
ia
u
s
ed
in
t
h
i
s
r
esear
ch
.
T
ab
le
3
.
R
esear
ch
Qu
es
tio
n
s
I
n
c
l
u
si
o
n
c
r
i
t
e
r
i
a
R
e
se
a
r
c
h
F
o
c
u
se
d
o
n
S
o
f
t
w
a
r
e
Q
u
a
l
i
t
y
M
o
d
e
l
a
n
d
M
e
t
h
o
d
(
t
i
t
l
e
,
a
b
s
t
r
a
c
t
,
k
e
y
w
o
r
d
)
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n
i
n
d
u
s
t
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l
a
n
d
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c
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mi
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l
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n
d
sm
a
l
l
sca
l
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p
e
r
f
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man
c
e
o
f
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h
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mo
d
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n
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o
f
t
w
a
r
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Q
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l
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t
y
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l
a
n
d
M
e
t
h
o
d
I
n
t
e
r
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a
t
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o
n
a
l
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b
l
i
c
a
t
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n
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a
l
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n
d
P
r
o
c
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d
i
n
g
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P
u
b
l
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c
a
t
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o
n
b
e
t
w
e
e
n
t
h
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y
e
a
r
s 2
0
0
6
-
2
0
1
6
Ex
c
l
u
si
o
n
c
r
i
t
e
r
i
a
N
o
t
a
sso
c
i
a
t
e
d
w
i
t
h
R
e
se
a
r
c
h
Q
u
e
st
i
o
n
T
h
e
p
a
p
e
r
i
s
n
o
t
a
j
o
u
r
n
a
l
a
n
d
p
r
o
c
e
e
d
i
n
g
s
N
o
n
-
En
g
l
i
sh
P
u
b
l
i
c
a
t
i
o
n
4
.
4
.
Da
t
a
E
x
t
ra
ct
io
n a
nd
M
a
pp
ing
P
ro
ce
s
s
RQ
1
Wha
t
k
in
ds
o
f
m
o
de
l a
re
us
ed
m
o
s
t
o
f
t
en
f
o
r
m
ea
s
ure
t
he
So
f
t
wa
re
Q
ua
lity
?
D
e
scri
p
t
i
o
n
F
o
r
mu
l
a
P
o
p
u
l
a
t
i
o
n
T
h
e
t
a
r
g
e
t
f
o
r
t
h
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i
n
v
e
st
i
g
a
t
i
o
n
S
o
f
t
w
a
r
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,
w
e
b
si
t
e
,
a
p
p
l
i
c
a
t
i
o
n
I
n
t
e
r
v
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n
t
i
o
n
S
p
e
c
i
f
y
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n
g
t
h
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sp
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st
t
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se
a
r
c
h
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r
s
S
o
f
t
w
a
r
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Q
u
a
l
i
t
y
M
o
d
e
l
,
Ev
a
l
u
a
t
i
o
n
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e
t
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me
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h
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se
t
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o
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t
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mp
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a
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u
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n
M
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t
h
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d
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si
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g
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o
f
t
w
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r
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Q
u
a
l
i
t
y
M
o
d
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l
R
e
se
a
r
c
h
Q
u
e
st
i
o
n
D
e
scri
p
t
i
o
n
R
Q
1
W
h
a
t
k
i
n
d
o
f
mo
d
e
l
i
s
u
se
d
mo
s
t
o
f
t
e
n
f
o
r
me
a
su
r
e
t
h
e
S
o
f
t
w
a
r
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Q
u
a
l
i
t
y
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o
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t
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r
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d
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r
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h
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S
o
f
t
w
a
r
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Q
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l
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t
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.
RQ
2
W
h
a
t
k
i
n
d
o
f
me
t
h
o
d
i
s
p
e
r
f
o
r
me
d
m
o
st
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f
t
e
n
f
o
r
S
o
f
t
w
a
r
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Q
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l
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r
e
t
h
e
S
o
f
t
w
a
r
e
Q
u
a
l
i
t
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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SO
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ex
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Ma
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m
s
ev
er
al
r
esear
ch
er
s
ap
p
ea
r
ed
.
T
h
is
th
en
s
h
o
w
s
th
at
t
h
e
u
s
e
o
f
th
e
n
e
w
s
ta
n
d
ar
d
h
as
s
tar
ted
to
attr
ac
t
th
e
atten
tio
n
o
f
t
h
e
r
esear
ch
er
s
to
ap
p
l
y
it
to
t
h
e
m
ea
s
u
r
e
m
en
t
o
f
t
h
e
s
o
f
t
w
ar
e
q
u
alit
y
.
T
h
r
o
u
g
h
th
e
u
s
e
o
f
m
o
d
el
I
SO
9
1
2
6
an
d
I
SO
SQ
u
a
R
E
h
av
e
ex
p
e
r
ien
ce
d
a
d
y
n
a
m
ic
s
s
i
n
ce
2
0
1
5
an
d
2
0
1
6
th
e
u
s
e
o
f
m
o
d
el
I
SO 9
1
2
6
is
o
n
l
y
u
s
ed
b
y
t
h
e
r
esear
ch
er
s
f
r
o
m
I
n
d
o
n
esia [
2
5
–
2
7
]
.
T
h
is
s
h
o
ws th
at
t
h
e
m
o
d
el
is
q
u
ite
p
o
p
u
l
ar
in
I
n
d
o
n
esia.
I
n
t
h
e
tr
en
d
o
f
t
h
e
m
o
d
el
i
n
t
h
e
la
s
t
d
ec
ad
e,
B
o
eh
m
’
s
Mo
d
el
an
d
Mc
C
all
’
s
Mo
d
e
l
co
m
m
o
n
l
y
w
er
e
co
m
b
i
n
ed
w
i
th
s
o
m
e
o
th
er
m
o
d
els
[
6
]
,
[
2
8
–
3
0
]
,
an
d
g
r
ad
u
all
y
w
er
e
n
o
lo
n
g
er
u
s
ed
af
te
r
2
0
1
2
.
Me
an
w
h
ile,
Dr
o
m
e
y
’
s
Mo
d
el
is
n
o
t
f
o
u
n
d
in
all
p
ap
er
s
r
e
g
ar
d
in
g
t
h
e
i
m
p
le
m
e
n
tat
io
n
o
f
t
h
e
s
o
f
t
w
ar
e
q
u
alit
y
.
T
h
is
is
i
n
lin
e
w
it
h
t
h
e
s
tate
m
e
n
t
o
f
Mi
g
u
el
s
tat
in
g
t
h
at
th
er
e
i
s
n
o
d
is
cu
s
s
io
n
o
n
h
o
w
th
e
m
o
d
el
is
u
s
ed
in
p
r
ac
tice
b
u
t
th
e
th
eo
r
etica
l
m
o
d
el
is
u
s
ed
to
b
u
ild
o
th
er
m
o
r
e
ac
cu
r
ate
m
o
d
els [
1
4
]
.
T
ab
le
4
.
Statis
ticall
y
P
ap
er
Dis
tr
ib
u
tio
n
o
n
So
f
t
w
ar
e
Q
u
alit
y
Mo
d
els in
th
e
L
as
t T
en
Yea
r
s
Y
e
a
r
C
o
mb
i
n
e
mo
d
e
l
I
S
O
/
I
EC
9
1
2
6
I
S
O
/
I
EC
S
Q
u
a
R
E
M
c
C
a
l
l
s
(
t
o
t
a
l
a
n
d
r
e
se
a
r
c
h
e
r
s re
f
e
r
e
n
c
e
n
u
m
b
e
r
)
2
0
0
6
1
[
3
1
]
2
0
0
7
1
[
6
]
2
0
0
8
2
[
3
0
]
,
[
3
2
]
1
[
3
3
]
2
0
0
9
1
[
3
4
]
2
0
1
1
1
[
2
9
]
1
[
3
5
]
2
0
1
2
2
[
3
6
]
,
[
2
8
]
2
[
3
7
]
,
[
3
8
]
4
[
3
9
]
–
[
4
2
]
2
0
1
3
3
[
4
3
]
–
[
4
5
]
1
[
4
6
]
2
0
1
4
1
[
4
7
]
6
[
2
1
]
–
[
2
4
]
,
[
4
8
]
,
[
4
9
]
3
[
5
0
]
–
[
5
2
]
2
0
1
5
2
[
2
6
]
,
[
5
3
]
5
[
5
4
]
–
[
5
8
]
2
0
1
6
1
[
2
7
]
4
[
5
9
]
–
[
6
2
]
G
r
a
n
d
T
o
t
a
l
7
17
17
1
RQ
2
:
Wha
t
kin
d o
f
m
et
ho
d
is
perf
o
r
m
ed
m
o
s
t
o
f
t
en
f
o
r
So
f
t
wa
re
Q
ua
lity
?
Fig
u
r
e
2
s
h
o
w
s
t
h
at
t
h
e
e
m
p
i
r
ical
m
o
d
el
is
m
o
s
tl
y
u
s
ed
i
n
m
ea
s
u
r
in
g
t
h
e
s
o
f
t
w
ar
e
q
u
ali
t
y
(
6
7
%).
T
h
e
m
et
h
o
d
in
cl
u
d
es
s
u
r
v
e
y
[
2
6
]
,
[
4
8
]
,
[
4
9
]
,
[
5
9
]
,
[
6
3
]
,
o
b
s
er
v
atio
n
[
2
1
]
,
[
2
7
]
,
[
3
1
–
3
3
]
,
[
3
5
]
,
[
3
7
]
,
[
3
9
]
,
[
4
2
–
4
4
]
,
[
5
2
]
,
[
5
3
]
,
[
6
4
]
an
d
u
s
ab
ilit
y
test
i
n
g
[
2
3
]
,
[
6
5
]
in
v
o
lv
i
n
g
th
e
a
s
s
e
s
s
m
e
n
t
o
f
u
s
er
s
.
T
h
is
ac
h
ie
v
e
m
en
t
is
f
o
llo
w
ed
b
y
t
h
e
a
n
al
y
tical
m
et
h
o
d
at
1
7
%
(
in
cl
u
d
es
h
eu
r
is
tic
s
e
v
alu
a
tio
n
[
3
4
]
,
[
4
0
]
,
ex
p
lo
r
ato
r
y
ca
s
e
s
tu
d
y
[
5
0
]
,
an
d
ev
al
u
atio
n
g
r
o
u
p
[
3
0
]
,
[
4
5
]
)
.
So
m
e
r
esear
ch
er
s
m
ea
s
u
r
in
g
t
h
e
s
o
f
t
w
ar
e
q
u
alit
y
w
it
h
o
u
t
u
s
er
j
u
d
g
m
e
n
ts
,
th
e
y
ar
e
[
2
9
]
,
[
5
2
]
,
[
6
1
-
6
2
]
,
[
6
6
]
class
if
ied
in
t
o
o
th
er
m
eth
o
d
.
T
h
e
e
m
p
ir
ic
al
m
e
th
o
d
i
s
m
o
s
tl
y
u
s
ed
f
o
r
b
ein
g
c
h
ea
p
er
,
clo
s
e
w
it
h
th
e
e
x
p
er
ien
ce
o
f
th
e
u
s
er
s
,
s
i
m
p
le,
an
d
p
r
o
v
id
in
g
a
n
e
w
p
er
s
p
ec
ti
v
e,
d
ir
ec
t f
ee
d
b
ac
k
f
r
o
m
u
s
er
s
a
n
d
,
v
er
b
al
d
ata
ea
s
ily
co
llected
an
d
p
r
o
ce
s
s
ed
.
Fig
u
r
e
2
.
P
ap
er
d
is
tr
ib
u
tio
n
b
ased
o
n
s
o
f
t
w
ar
e
q
u
al
it
y
m
et
h
o
d
17%
67%
7%
10%
0%
20%
40%
60%
80%
pe
r
ce
nt
age
of
pa
p
e
r
s
analyti
c
al
m
e
tho
d
e
m
p
ir
ic
al
m
e
tho
d
e
m
p
ir
ic
al
m
e
tho
d
&
analyti
c
m
e
t
h
o
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2088
-
8708
A
S
ystema
tic
Ma
p
p
in
g
R
ev
iew
o
f S
o
ftw
a
r
e
Qu
a
lity Mea
s
u
r
eme
n
t:
R
esea
r
ch
…
(
Ten
ia
W
a
h
yu
n
in
g
r
u
m)
2851
T
h
e
f
o
r
m
o
f
t
h
e
m
o
d
el
o
f
th
e
s
o
f
t
w
ar
e
q
u
alit
y
m
ea
s
u
r
e
m
en
t
th
at
is
h
ier
ar
ch
ical
an
d
th
e
m
et
h
o
d
o
f
m
ea
s
u
r
e
m
e
n
t
i
n
v
o
l
v
i
n
g
t
h
e
el
e
m
en
ts
o
f
u
s
er
an
d
ex
p
er
t
j
u
d
g
m
e
n
t
h
as
en
co
u
r
ag
ed
th
e
r
es
ea
r
ch
er
s
to
u
s
e
th
e
ap
p
r
o
ac
h
o
f
A
n
al
y
tica
l
Hier
ar
ch
y
P
r
o
ce
s
s
an
d
f
u
zz
y
lo
g
ic
s
.
T
ab
le
5
s
h
o
w
s
t
h
at
t
h
e
r
e
s
ea
r
ch
ap
p
r
o
ac
h
u
s
ed
A
HP
at
th
e
m
ea
s
u
r
e
m
e
n
t
o
f
t
h
e
s
o
f
t
w
ar
e
q
u
alit
y
h
as
b
ee
n
c
o
n
d
u
cted
b
y
[
4
8
]
,
[
3
4
]
,
an
d
[
4
4
]
,
b
u
t
th
e
r
esear
ch
s
till
u
s
ed
t
h
e
cr
is
p
n
u
m
b
er
in
w
ei
g
h
ti
n
g
th
e
s
co
r
e
o
f
th
e
a
s
s
es
s
m
en
t
f
r
o
m
th
e
u
s
er
s
;
as
a
co
n
s
eq
u
e
n
ce
,
it
s
w
ei
g
h
ti
n
g
s
ee
m
ed
to
b
e
less
r
ep
r
esen
tati
v
e.
T
h
ey
also
ad
d
ed
a
n
u
m
b
er
o
f
s
u
b
-
c
h
ar
ac
ter
is
tics
in
th
e
m
o
d
el
o
f
th
e
m
ea
s
u
r
e
m
e
n
t
o
f
t
h
e
s
o
f
t
w
ar
e
q
u
al
it
y
s
u
ch
a
s
co
m
p
atib
ilit
y
,
m
o
d
u
lar
it
y
,
co
m
p
l
ex
it
y
,
r
eu
s
ab
il
it
y
,
av
ailab
ilit
y
,
cu
s
to
m
izab
il
it
y
,
o
r
tr
ac
ea
b
ilit
y
.
Giv
e
n
th
e
m
o
r
e
co
m
p
le
x
is
s
u
es
to
b
e
s
ettled
,
th
e
u
s
e
o
f
f
u
zz
y
lo
g
ics
co
n
ce
p
t
th
e
n
is
u
s
ed
to
co
p
e
w
it
h
an
y
th
e
lack
o
f
t
h
e
u
s
e
o
f
cr
i
s
p
n
u
m
b
er
s
.
T
h
e
ap
p
r
o
ac
h
o
f
F
u
zz
y
M
u
lti
-
C
r
iter
ia
w
a
s
r
ev
ea
led
b
y
C
h
alla,
h
e
co
n
s
id
er
in
g
th
e
w
ei
g
h
t
o
f
th
e
f
u
zz
y
ca
lcu
latio
n
b
ased
u
p
o
n
th
r
ee
p
er
s
p
ec
ti
v
es
o
f
t
h
e
u
s
er
s
:
d
e
v
elo
p
er
,
m
an
a
g
er
,
an
d
u
s
er
[
9
]
.
C
h
alla
p
r
o
v
id
ed
a
co
n
clu
s
io
n
f
r
o
m
t
h
e
m
ea
s
u
r
e
m
e
n
t
o
f
th
e
s
o
f
t
w
a
r
e
q
u
alit
y
w
it
h
th
e
lab
el
s
o
f
Ver
y
Go
o
d
,
Go
o
d
,
Av
er
ag
e,
P
o
o
r
,
Ver
y
P
o
o
r
.
Yu
e
n
[
3
8
]
u
s
ed
th
e
F
u
zz
y
AHP
to
co
m
p
ar
e
th
e
d
if
f
er
e
n
t
s
o
f
t
w
ar
e
to
s
elec
t
th
e
b
est
s
o
f
t
w
ar
e
[
3
7
]
.
Yan
g
[
4
2
]
u
s
ed
t
h
e
ap
p
r
o
ac
h
o
f
F
u
zz
y
C
h
o
q
u
et
I
n
te
g
r
al
to
m
ea
s
u
r
e
t
h
e
s
o
f
t
w
ar
e
q
u
a
lit
y
b
ased
o
n
th
e
d
if
f
er
en
t
p
e
r
s
p
ec
tiv
e
o
f
u
s
er
s
s
h
o
w
i
n
g
t
h
e
i
n
f
lu
en
ce
b
et
w
ee
n
th
e
cr
iter
ia
r
esu
lt
s
.
Yi
n
g
Xi
n
g
[
3
0
]
u
s
ed
th
e
m
eth
o
d
o
f
F
u
zz
y
Statis
t
ic
Me
t
h
o
d
to
p
r
o
v
id
e
a
q
u
an
tita
tiv
e
m
eth
o
d
f
o
r
th
e
m
ea
s
u
r
e
m
e
n
t
o
f
s
o
f
t
war
e
q
u
alit
y
in
th
e
d
ig
italizatio
n
s
y
s
te
m
o
f
an
tiq
u
e
et
h
ical
r
eso
u
r
ce
s
.
T
h
e
m
o
d
el
w
a
s
s
u
itab
le
f
o
r
th
e
s
y
s
te
m
o
f
th
r
ee
la
y
er
s
o
f
t
h
e
s
o
f
t
w
ar
e
q
u
alit
y
o
f
W
alter
s
an
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ra
ti
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n
s
f
o
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a
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te
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f
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tri
c
s
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th
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teg
ra
ti
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n
o
f
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o
f
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e
n
ts
,
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In
f
.
S
c
i.
(Ny
).
,
v
o
l.
1
7
7
,
n
o
.
3
,
pp
.
8
4
4
–
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6
4
,
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e
b
2
0
0
6
.
[7
]
In
tern
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ti
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n
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l
Org
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iza
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r
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t
a
n
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f
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y
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,
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1
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0
0
0
.
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1
–
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6
,
2
0
0
0
.
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tern
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l
Org
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o
l.
2
0
1
1
.
pp
.
3
4
,
2
0
1
1
.
[9
]
J.
S
.
C
h
a
ll
a
,
A
.
P
a
u
l
,
Y.
Da
d
a
,
d
a
n
V
.
Ne
re
ll
a
,
“
In
teg
ra
ted
S
o
f
t
w
a
r
e
Qu
a
li
ty
Ev
a
lu
a
ti
o
n
:
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F
u
z
z
y
M
u
lt
i
-
Cri
teria
A
p
p
ro
a
c
h
,
”
v
o
l.
7
,
n
o
.
3
,
pp
.
4
7
3
–
5
1
8
,
2
0
1
1
.
[1
0
]
Z.
Ba
i
d
a
n
A
.
F
.
Blac
k
we
ll
,
“
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n
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l
y
ti
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re
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ie
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o
f
u
sa
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il
it
y
e
v
a
lu
a
ti
o
n
i
n
IS
M
A
R,
”
In
tera
c
t.
Co
m
p
u
t.
,
v
o
l.
2
4
,
n
o
.
6
,
pp
.
4
5
0
–
4
6
0
,
2
0
1
2
.
[1
1
]
S
.
S
.
A
p
a
rn
a
d
a
n
K.
K.
Ba
se
e
r,
“
A
S
y
st
e
m
a
ti
c
Re
v
ie
w
o
n
M
e
a
su
rin
g
a
n
d
Ev
a
lu
a
ti
n
g
W
e
b
Us
a
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il
it
y
in
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o
d
e
l
Driv
e
n
W
e
b
De
v
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lo
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m
e
n
t,
”
Nc
e
tse
,
pp
.
1
7
1
–
1
8
0
,
2
0
1
4
.
[1
2
]
M
.
C.
S
.
T
o
rre
n
te,
A
.
B.
M
.
P
rieto
,
D.
A
.
G
u
ti
é
rre
z
,
d
a
n
M
.
E.
A
.
De
S
a
g
a
ste
g
u
i,
“
S
iri
u
s:
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h
e
u
risti
c
-
b
a
se
d
f
ra
m
e
w
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rk
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r
m
e
a
su
rin
g
w
e
b
u
sa
b
il
it
y
a
d
a
p
ted
to
t
h
e
ty
p
e
o
f
we
b
site,”
J.
S
y
st.
S
o
f
t
w
.
,
v
o
l.
8
6
,
n
o
.
3
,
pp
.
6
4
9
–
6
6
3
,
2
0
1
3
.
[1
3
]
K.
P
e
ters
e
n
,
R.
F
e
l
d
t,
S
.
M
u
jt
a
b
a
,
d
a
n
M
.
M
a
tt
ss
o
n
,
“
S
y
ste
m
a
ti
c
M
a
p
p
i
n
g
S
tu
d
ies
in
S
o
f
tw
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re
En
g
in
e
e
rin
g
,
”
1
2
T
h
In
t.
C
o
n
f
.
Ev
a
l.
A
ss
e
s
s.
S
o
f
tw
.
E
n
g
.
,
v
o
l.
1
7
,
pp
.
1
0
,
2
0
0
8
.
[1
4
]
J.
P
.
M
ig
u
e
l,
D.
M
a
u
ricio
,
d
a
n
G
.
Ro
d
r
íg
u
e
z
,
“
A
Re
v
ie
w
o
f
S
o
f
t
wa
re
Qu
a
li
ty
M
o
d
e
ls
f
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h
e
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lu
a
t
io
n
o
f
S
o
f
tw
a
re
P
r
o
d
u
c
ts,
”
In
t
.
J.
S
o
f
tw
.
En
g
.
A
p
p
l.
,
v
o
l.
5
,
n
o
.
6
,
pp
.
3
1
–
5
3
,
2
0
1
4
.
[1
5
]
I.
S
in
g
h
,
“
Dif
fe
re
n
t
S
o
f
tw
a
r
e
Qu
a
li
ty
M
o
d
e
l,
”
n
o
.
M
a
y
,
2
0
1
3
.
[1
6
]
M
.
C.
S
.
T
o
rre
n
te,
A
.
B.
M
.
P
rieto
,
D
.
A
.
G
u
ti
é
rre
z
,
d
a
n
M
.
E.
A
.
d
e
S
a
g
a
ste
g
u
i,
“
S
iri
u
s:
A
h
e
u
risti
c
-
b
a
se
d
F
ra
m
e
w
o
rk
f
o
r
M
e
a
su
rin
g
Web
Us
a
b
il
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y
A
d
a
p
ted
to
th
e
Ty
p
e
o
f
Web
site
,
”
J.
S
y
st.
S
o
f
t
w
.
,
v
o
l.
8
6
,
n
o
.
3
,
pp
.
6
4
9
–
6
6
3
,
M
a
r
2
0
1
3
.
[1
7
]
W
.
D.
G
ra
y
d
a
n
M
.
C.
S
a
lzm
a
n
,
“
Da
m
a
g
e
d
M
e
rc
h
a
n
d
ise
?
A
Re
v
i
e
w
o
f
Ex
p
e
ri
m
e
n
ts
T
h
a
t
Co
m
p
a
re
Us
a
b
il
it
y
Ev
a
lu
a
ti
o
n
M
e
th
o
d
s,” Hu
m
a
n
–
Co
m
p
u
ter In
tera
c
t.
,
v
o
l.
1
3
,
n
o
.
3
,
pp
.
2
0
3
–
2
6
1
,
1
9
9
8
.
[1
8
]
N.
E.
Ja
c
o
b
se
n
,
“
Us
a
b
il
it
y
Ev
a
lu
a
ti
o
n
M
e
t
h
o
d
s
th
e
Re
li
a
b
il
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y
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n
d
Us
a
g
e
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f
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g
n
it
iv
e
Walk
th
ro
u
g
h
a
n
d
Us
a
b
il
i
ty
T
e
st,” 1
9
9
9
.
[1
9
]
M
.
Orio
l
,
J.
M
a
rc
o
,
d
a
n
X
.
F
ra
n
c
h
,
“
Qu
a
li
ty
m
o
d
e
ls
f
o
r
w
e
b
se
rv
i
c
e
s:
A
s
y
ste
m
a
ti
c
m
a
p
p
in
g
,
”
In
f
.
S
o
f
tw
.
T
e
c
h
n
o
l.
,
v
o
l.
5
6
,
n
o
.
1
0
,
pp
.
1
1
6
7
–
1
1
8
2
,
Ok
t
2
0
1
4
.
[2
0
]
R.
E.
A
l
-
Qu
taish
,
“
A
n
In
v
e
stig
a
ti
o
n
o
f
th
e
Wea
k
n
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ss
e
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S
O
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1
2
6
In
tern
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ti
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n
a
l
S
tan
d
a
rd
,
”
Co
m
p
u
ter
a
n
d
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
,
2
0
0
9
.
ICC
EE
’0
9
.
S
e
c
o
n
d
In
tern
a
t
io
n
a
l
Co
n
f
e
r
e
n
c
e
o
n
,
v
o
l
.
1
.
pp
.
2
7
5
–
2
7
9
,
2
0
0
9
.
[2
1
]
Y.
F
it
risia
d
a
n
B.
He
n
d
ra
d
jay
a
,
“
I
m
p
le
m
e
n
tat
io
n
o
f
IS
O
9
1
2
6
-
1
Qu
a
li
ty
M
o
d
e
l
f
o
r
A
ss
e
t
In
v
e
n
to
ry
In
f
o
r
m
a
ti
o
n
S
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st
e
m
b
y
Util
izin
g
Ob
jec
t
Orie
n
ted
M
e
tri
c
s
,
”
i
n
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
a
n
d
C
o
m
p
u
ter
S
c
ien
c
e
(ICEE
CS
),
2
0
1
4
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
,
2
0
1
4
,
pp
.
2
2
9
–
2
3
4
.
[2
2
]
W
.
Hilwa
d
a
n
S
a
m
id
i,
“
P
ro
t
o
ty
p
e
M
o
b
i
le
Kn
o
w
led
g
e
M
a
n
a
g
e
m
e
n
t
S
y
ste
m
(
KMS
)
f
o
r
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m
ic
b
a
n
k
in
g
w
it
h
&
#
x
0
0
2
2
;T
iw
a
n
a
&
#
x
0
0
2
2
;
f
ra
m
e
w
o
rk
o
n
u
n
iv
e
rsity
:
C
a
se
stu
d
y
S
T
EI
S
EBI,
”
in
C
y
b
e
r
a
n
d
IT
S
e
rv
ic
e
M
a
n
a
g
e
m
e
n
t
(CIT
S
M
),
2
0
1
4
I
n
te
rn
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
,
2
0
1
4
,
pp
.
8
3
–
8
8
.
[2
3
]
I.
L
e
sta
ri
d
a
n
B.
He
n
d
ra
d
ja
y
a
,
“
T
h
e
A
p
p
li
c
a
ti
o
n
M
o
d
e
l
o
f
L
e
a
rn
i
n
g
M
a
n
a
g
e
m
e
n
t
S
y
st
e
m
Qu
a
li
t
y
i
n
A
s
y
n
c
h
ro
n
o
u
s
Blen
d
e
d
L
e
a
rn
in
g
S
y
ste
m
,
”
El
e
c
t
rica
l
En
g
in
e
e
rin
g
a
n
d
Co
m
p
u
ter S
c
ien
c
e
(ICEE
CS
),
2
0
1
4
In
tern
a
t
io
n
a
l
C
o
n
f
e
re
n
c
e
o
n
.
pp
.
2
2
3
–
2
2
8
,
2
0
1
4
.
[2
4
]
U.
L
.
Yu
h
a
n
a
,
A
.
B.
Ra
h
a
rj
o
,
d
a
n
S
.
Ro
c
h
im
a
h
,
“
Ac
a
d
e
m
ic
I
n
f
o
rm
a
ti
o
n
S
y
ste
m
Qu
a
li
t
y
M
e
a
su
re
m
e
n
t
Us
in
g
Qu
a
li
ty
In
stru
m
e
n
t:
A
P
ro
p
o
se
d
M
o
d
e
l
,
”
Da
ta
a
n
d
S
o
f
tw
a
re
En
g
i
n
e
e
rin
g
(ICOD
S
E),
2
0
1
4
In
tern
a
t
io
n
a
l
Co
n
f
e
re
n
c
e
o
n
.
pp
. 1
–
6
,
2
0
1
4
.
[2
5
]
S
.
Ro
c
h
im
a
h
,
H.
I.
Ra
h
m
a
n
i,
d
a
n
U.
L
.
Yu
h
a
n
a
,
“
Us
a
b
il
it
y
Ch
a
ra
c
terist
ic
Ev
a
lu
a
ti
o
n
o
n
A
d
m
in
istr
a
ti
o
n
M
o
d
u
le
o
f
A
c
a
d
e
m
ic
In
f
o
r
m
a
ti
o
n
S
y
ste
m
Us
in
g
IS
O/IEC
9
1
2
6
Qu
a
li
ty
M
o
d
e
l
,
”
2
0
1
5
I
n
t.
S
e
m
in
.
In
tell.
T
e
c
h
n
o
l.
Its
A
p
p
l.
IS
IT
I
A
2
0
1
5
-
P
r
o
c
e
e
d
in
g
,
pp
.
3
6
3
–
3
6
8
,
2
0
1
5
.
[2
6
]
D.
D.
J.
S
u
wa
w
i,
E.
Da
r
w
i
y
a
n
to
,
d
a
n
M
.
Ro
c
h
m
a
n
i,
“
Ev
a
lu
a
ti
o
n
o
f
Ac
a
d
e
m
ic
Web
site
Us
in
g
IS
O/IEC
9
1
2
6
,
”
In
f
o
rm
a
ti
o
n
a
n
d
Co
m
m
u
n
ica
ti
o
n
T
e
c
h
n
o
lo
g
y
(ICo
ICT
),
2
0
1
5
3
r
d
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
.
pp
.
2
2
2
–
2
2
7
,
2
0
1
5
.
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(
Ten
ia
W
a
h
yu
n
in
g
r
u
m)
2853
[2
7
]
R.
A
n
d
rian
,
B.
He
n
d
ra
d
jay
a
,
d
a
n
W
.
D.
S
u
n
in
d
y
o
,
“
S
o
f
tw
a
r
e
As
se
ss
m
e
n
t
M
o
d
e
l
Us
i
n
g
M
e
tri
c
s
P
r
o
d
u
c
ts
f
o
r
E
-
g
o
v
e
rn
m
e
n
t
in
th
e
G
2
B
m
o
d
e
l,
”
2
0
1
6
4
t
h
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
f
o
rm
a
ti
o
n
a
n
d
Co
m
m
u
n
ica
ti
o
n
T
e
c
h
n
o
l
o
g
y
(ICo
ICT
).
pp
.
1
–
6
,
2
0
1
6
.
[2
8
]
ENA
S
E
2
0
1
2
-
P
r
o
c
e
e
d
in
g
s
o
f
th
e
7
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Ev
a
lu
a
ti
o
n
o
f
No
v
e
l
A
p
p
ro
a
c
h
e
s
to
S
o
f
tw
a
r
e
En
g
in
e
e
rin
g
,
2
0
1
2
,
pp
.
1
9
9
–
2
0
2
.
[2
9
]
V
.
S
h
a
rm
a
d
a
n
P
.
Ba
li
y
a
n
,
“
M
a
i
n
tain
a
b
i
li
ty
A
n
a
l
y
sis
o
f
Co
m
p
o
n
e
n
t
Ba
se
d
S
y
ste
m
s
,
”
In
t.
J.
S
o
f
tw
.
En
g
.
it
s
A
p
p
l.
,
v
o
l.
5
,
n
o
.
3
,
pp
.
1
0
7
–
1
1
8
,
2
0
1
1
.
[3
0
]
L
.
Yin
g
-
x
in
g
d
a
n
M
.
Zh
e
n
g
-
x
in
g
,
“
A
F
u
z
z
y
Co
m
p
re
h
e
n
siv
e
Qu
a
li
ty
Ev
a
lu
a
ti
o
n
f
o
r
th
e
Di
g
it
izin
g
S
o
f
t
w
a
re
o
f
Et
h
n
ic
A
n
ti
q
u
a
rian
Re
so
u
rc
e
s
,
”
in
P
ro
c
e
e
d
in
g
s
-
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
S
o
f
tw
a
r
e
En
g
in
e
e
rin
g
,
CS
S
E
2
0
0
8
,
2
0
0
8
,
v
o
l.
5
,
pp
.
1
2
7
1
–
1
2
7
4
.
[3
1
]
C.
-
B.
Ch
e
n
,
C.
-
T
.
L
in
,
C.
-
H.
W
a
n
g
,
d
a
n
C
.
-
W
.
Ch
a
n
g
,
“
M
o
d
e
l
f
o
r
M
e
a
su
rin
g
Qu
a
li
ty
o
f
S
o
f
t
w
a
re
in
D
V
RS
Us
in
g
th
e
G
a
p
Co
n
c
e
p
t
a
n
d
F
u
z
z
y
S
c
h
e
m
e
s
w
it
h
GA
,
”
In
f
.
S
o
f
t
w
.
Tec
h
n
o
l.
,
v
o
l.
4
8
,
n
o
.
3
,
pp
.
1
8
7
–
2
0
3
,
M
a
r
2
0
0
6
.
[3
2
]
L
.
S
.
V
P
&
#
x
0
E9
;rez
,
A
.
F
.
G
.
To
rn
&
#
x
0
E
9
;s,
d
a
n
E.
M
.
F
.
Riv
e
r&
#
x
0
F
3
;
n
,
“
M
ECRA
D:
M
o
d
e
l
a
n
d
T
o
o
l
f
o
r
th
e
T
e
c
h
n
ica
l
Qu
a
li
t
y
E
v
a
lu
a
ti
o
n
o
f
S
o
f
tw
a
r
e
P
ro
d
u
c
ts
i
n
V
isu
a
l
E
n
v
iro
n
m
e
n
t,
”
Co
m
p
u
ti
n
g
i
n
th
e
G
lo
b
a
l
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
2
0
0
8
.
ICCG
I
’0
8
.
T
h
e
T
h
ird
I
n
tern
a
ti
o
n
a
l
M
u
lt
i
-
C
o
n
f
e
re
n
c
e
o
n
.
pp
.
1
0
7
–
1
1
2
,
2
0
0
8
.
[3
3
]
O.
A
l
f
o
n
z
o
,
K.
Do
m
&
#
x
0
ED;
n
g
u
e
z
,
L
.
Riv
a
s,
M
.
P
&
#
x
0
E
9
;
re
z
,
L
.
M
e
n
d
o
z
a
,
d
a
n
M
.
Orte
g
a
,
“
Qu
a
li
t
y
M
e
a
su
re
m
e
n
t
M
o
d
e
l
f
o
r
A
n
a
l
y
si
s
a
n
d
De
sig
n
T
o
o
ls
Ba
se
d
o
n
F
L
OSS
,
”
1
9
th
A
u
stra
li
a
n
Co
n
f
e
re
n
c
e
o
n
S
o
f
tw
a
re
En
g
in
e
e
rin
g
(a
sw
e
c
2
0
0
8
).
pp
.
2
5
8
–
2
6
8
,
2
0
0
8
.
[3
4
]
B.
Be
h
k
a
m
a
l,
M
.
Ka
h
a
n
i,
d
a
n
M
.
K.
A
k
b
a
ri,
“
Cu
sto
m
izin
g
IS
O
9
1
2
6
Qu
a
li
ty
M
o
d
e
l
fo
r
Ev
a
lu
a
ti
o
n
o
f
B2
B
A
p
p
li
c
a
ti
o
n
s
,
”
In
f
.
S
o
f
tw
.
T
e
c
h
n
o
l.
,
v
o
l.
5
1
,
n
o
.
3
,
pp
.
5
9
9
–
6
0
9
,
M
a
r
2
0
0
9
.
[3
5
]
J.
S
.
Ch
a
ll
a
,
A
.
P
a
u
l,
Y.
Da
d
a
,
V
.
Ne
re
ll
a
,
d
a
n
P
.
R.
S
riv
a
sta
v
a
,
“
Qu
a
n
ti
f
ica
ti
o
n
o
f
S
o
f
tw
a
r
e
Qu
a
li
ty
P
a
ra
m
e
ter
s
Us
in
g
F
u
z
z
y
M
u
lt
i
Crit
e
ria
A
p
p
ro
a
c
h
,
”
P
r
o
c
e
ss
A
u
to
m
a
ti
o
n
,
Co
n
tro
l
a
n
d
C
o
m
p
u
ti
n
g
(
P
A
CC),
2
0
1
1
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
.
P
p
.
1
–
6
,
2
0
1
1
.
[3
6
]
K.
A
tala
g
,
H.
Y.
Ya
n
g
,
d
a
n
J.
W
a
rre
n
,
“
A
ss
e
ss
m
e
n
t
o
f
S
o
f
tw
a
r
e
M
a
in
tain
a
b
il
it
y
o
f
o
p
e
n
E
HR
Ba
se
d
He
a
lt
h
In
f
o
rm
a
ti
o
n
S
y
ste
m
s
-
a
Ca
se
S
tu
d
y
in
En
d
o
sc
o
p
y
,
”
El
e
c
tro
n
.
J.
He
a
l.
In
f
o
rm
a
ti
c
s,
v
o
l.
7
,
n
o
.
1
,
2
0
1
2
.
[3
7
]
V
.
P
a
sri
ja,
S
.
Ku
m
a
r,
d
a
n
P
.
R.
S
riv
a
sta
v
a
,
“
A
ss
e
ss
m
e
n
t
o
f
S
o
f
t
w
a
re
Qu
a
li
ty
:
Ch
o
q
u
e
t
In
teg
ra
l
A
p
p
ro
a
c
h
,
”
P
ro
c
e
d
ia
T
e
c
h
n
o
l.
,
v
o
l.
6
,
pp
.
1
5
3
–
1
6
2
,
2
0
1
2
.
[3
8
]
K.
K.
F
.
Y
u
e
n
,
“
Ev
a
lu
a
ti
n
g
S
o
f
t
w
a
r
e
Co
m
p
o
n
e
n
t
Qu
a
li
ty
f
ro
m
V
e
n
d
o
rs
Us
in
g
t
h
e
p
rim
it
iv
e
Co
g
n
it
iv
e
Ne
t
w
o
r
k
P
r
o
c
e
ss
w
it
h
IS
O/IEC
9
1
2
6
,
”
Co
m
p
u
ti
n
g
,
Co
m
m
u
n
ica
ti
o
n
s
a
n
d
A
p
p
li
c
a
ti
o
n
s
Co
n
f
e
re
n
c
e
(Co
m
Co
m
A
p
),
2
0
1
2
.
pp
.
288
–
2
9
3
,
2
0
1
2
.
[3
9
]
F
.
J.
Do
m
ín
g
u
e
z
-
M
a
y
o
,
M
.
J.
Esc
a
lo
n
a
,
M
.
M
e
jí
a
s,
M
.
Ro
ss
,
d
a
n
G
.
S
tap
les
,
“
Qu
a
li
t
y
Ev
a
lu
a
ti
o
n
fo
r
M
o
d
e
l
-
Driv
e
n
W
e
b
En
g
in
e
e
rin
g
M
e
th
o
d
o
lo
g
ies
,
”
In
f
.
S
o
f
tw
.
T
e
c
h
n
o
l.
,
v
o
l
.
5
4
,
n
o
.
1
1
,
pp
.
1
2
6
5
–
1
2
8
2
,
N
o
v
2
0
1
2
.
[4
0
]
A
.
F
e
rn
a
n
d
e
z
,
E.
I
n
sf
ra
n
,
S
.
A
b
r
a
h
ã
o
,
J.
Á
.
Ca
rsí,
d
a
n
E.
M
o
n
ter
o
,
“
In
teg
ra
ti
n
g
Us
a
b
il
i
ty
Ev
a
lu
a
t
io
n
in
t
o
M
o
d
e
l
-
d
riv
e
n
V
id
e
o
G
a
m
e
D
e
v
e
lo
p
m
e
n
t
,
”
L
e
c
t
u
re
No
tes
in
Co
m
p
u
ter
S
c
ien
c
e
(in
c
lu
d
in
g
su
b
se
ries
Lec
tu
re
No
tes
in
A
rti
f
icia
l
In
telli
g
e
n
c
e
a
n
d
L
e
c
tu
re
No
tes
in
B
io
i
n
f
o
rm
a
ti
c
s),
v
o
l.
7
6
2
3
L
NCS.
pp
.
3
0
7
–
3
1
4
,
2
0
1
2
.
[4
1
]
P
.
L
e
w
d
a
n
L
.
Olsin
a
,
“
Im
p
ro
v
i
n
g
Qu
a
li
ty
in
Us
e
o
f
W
e
b
A
p
p
li
c
a
ti
o
n
s
in
a
S
y
ste
m
a
ti
c
W
a
y
,
”
L
e
c
tu
re
No
tes
in
Co
m
p
u
ter
S
c
ien
c
e
(in
c
lu
d
i
n
g
su
b
se
ries
L
e
c
tu
re
No
tes
in
A
rti
f
icia
l
In
telli
g
e
n
c
e
a
n
d
L
e
c
tu
re
No
tes
in
Bio
in
f
o
rm
a
ti
c
s),
v
o
l.
7
0
5
9
L
NCS
.
S
c
h
o
o
l
o
f
S
o
f
tw
a
r
e
,
Be
ih
a
n
g
Un
iv
e
rsit
y
,
Ch
in
a
,
pp
.
3
5
9
–
3
6
0
,
2
0
1
2
.
[4
2
]
H.
Ya
n
g
,
“
M
e
a
su
rin
g
S
o
f
tw
a
r
e
P
ro
d
u
c
t
Qu
a
l
it
y
w
it
h
IS
O
S
tan
d
a
r
d
s
Ba
se
o
n
F
u
z
z
y
L
o
g
ic
T
e
c
h
n
iq
u
e
,
”
A
d
v
a
n
c
e
s
in
In
telli
g
e
n
t
a
n
d
S
o
f
t
Co
m
p
u
ti
n
g
,
v
o
l.
1
3
7
A
IS
C.
S
c
h
o
o
l
o
f
In
f
o
rm
a
ti
o
n
S
c
ie
n
c
e
a
n
d
En
g
in
e
e
rin
g
,
L
a
n
z
h
o
u
Un
iv
e
rsit
y
o
f
F
in
a
n
c
e
a
n
d
Ec
o
n
o
m
ic
s,
L
a
n
z
h
o
u
,
G
a
n
su
P
ro
v
in
c
e
,
Ch
in
a
,
pp
.
5
9
–
6
7
,
2
0
1
2
.
[4
3
]
P
.
He
g
e
d
u
s,
“
Re
v
e
a
li
n
g
th
e
Eff
e
c
t
o
f
Co
d
in
g
P
ra
c
ti
c
e
s
o
n
S
o
f
t
w
a
r
e
M
a
in
tain
a
b
il
it
y
,
”
S
o
f
t
w
a
re
M
a
in
ten
a
n
c
e
(ICS
M
),
2
0
1
3
2
9
th
IE
EE
I
n
tern
a
t
io
n
a
l
C
o
n
f
e
re
n
c
e
o
n
.
pp
.
5
7
8
–
5
8
1
,
2
0
1
3
.
[4
4
]
K.
Ku
rtel,
“
M
e
a
su
rin
g
a
n
d
M
o
n
it
o
ri
n
g
S
o
f
tw
a
re
M
a
in
ten
a
n
c
e
S
e
rv
ice
s:
A
n
In
d
u
strial
Ex
p
e
rien
c
e
,
”
S
o
f
twa
re
M
e
a
su
re
m
e
n
t
a
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.
pp
.
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4
7
–
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5
2
,
2
0
1
3
.
[4
5
]
W
.
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.
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ra
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k
s,
d
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ro
m
p
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,
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ter
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ien
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n
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0
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3
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tern
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ti
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l
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n
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n
.
pp
.
2
5
7
–
2
6
2
,
2
0
1
3
.
[4
6
]
M
.
Ulm
a
n
,
V
.
Vo
stro
v
sk
ý
,
d
a
n
J.
Ty
r
y
c
h
tr,
“
Ag
ricu
lt
u
ra
l
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-
g
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e
rn
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t:
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sig
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.
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o
rm
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ti
c
s,
v
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l.
5
,
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o
.
4
,
pp
.
2
1
1
–
2
2
2
,
2
0
1
3
.
[4
7
]
K.
M
o
u
m
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n
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d
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n
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.
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ri,
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in
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IS
O
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2
6
w
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ts,
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),
2
0
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e
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o
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d
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rld
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n
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n
.
pp
.
1
3
4
–
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3
9
,
2
0
1
4
.
[4
8
]
T
.
A
.
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lra
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sh
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h
,
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.
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h
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irat,
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a
n
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.
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.
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lq
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taw
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,
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A
Qu
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n
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lu
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T
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:
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s
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2
0
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1
1
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n
tern
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ti
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n
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o
n
,
2
0
1
4
,
pp
.
46
–
4
9
.
[4
9
]
S
.
Ko
la
h
d
o
u
z
-
Ra
h
im
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K.
L
a
n
o
,
S
.
P
il
lay
,
J.
T
ro
y
a
,
d
a
n
P
.
Va
n
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o
rp
,
“
Ev
a
lu
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m
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s f
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f
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to
rin
g
,
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c
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Co
m
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u
t.
P
ro
g
ra
m
.
,
v
o
l.
8
5
,
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a
rt
A
,
pp
.
5
–
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0
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n
2
0
1
4
.
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0
]
I.
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li
o
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a
ti
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Co
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n
.
pp
.
2
2
2
–
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3
3
,
2
0
1
4
.
[5
1
]
J.
L
e
n
h
a
rd
,
“
T
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w
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s
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a
n
ti
fy
in
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A
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tab
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B
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ss
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s
,
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CE
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W
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rk
sh
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s,
2
0
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4
,
v
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l.
1
1
4
0
,
pp
.
3
4
–
4
1
.
[5
2
]
E.
Zi
e
m
b
a
,
T
.
P
a
p
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j,
d
a
n
D.
De
sc
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rs,
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ff
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4
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1
,
pp
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.
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3
6
3
–
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8
,
2
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5
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[5
4
]
L
.
K
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s,
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.
V
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jt
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c
h
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d
a
n
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.
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rd
a
,
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a
li
tativ
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n
d
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u
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ters
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ica
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n
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2
0
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5
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tern
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c
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n
.
pp
.
2
1
–
2
5
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2
0
1
5
.
[5
5
]
G
.
Lad
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n
y
i,
Z.
T
o
th
,
R.
F
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re
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c
,
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.
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d
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tern
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0
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5
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pp
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9
1
–
1
0
0
.
[5
6
]
S
.
Ou
h
b
i,
A
.
Id
ri,
J.
L
.
F
e
rn
á
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d
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,
A
.
T
o
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a
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e
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jello
u
n
,
“
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p
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ly
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O/IEC
2
5
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M
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In
f
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a
t
ics
,
P
ro
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d
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n
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s;
P
a
rt
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f
8
th
In
ter
n
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ti
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n
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l
Jo
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n
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En
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,
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2
0
1
5
,
2
0
1
5
,
pp
.
4
0
5
–
4
1
2
.
[5
7
]
J.
R.
Ov
ied
o
,
M
.
R
o
d
rig
u
e
z
,
d
a
n
M
.
P
iatti
n
i,
“
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rti
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ica
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m
a
r
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Cit
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a
Ca
se
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tu
d
y
,
”
pp
.
1
–
6
,
2
0
1
4
.
[5
8
]
H.
-
J.
S
o
h
n
,
M
.
-
G
.
L
e
e
,
B.
-
M
.
S
e
o
n
g
,
d
a
n
J.
-
B
.
Kim
,
“
Qu
a
li
t
y
Ev
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lu
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ti
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Cri
teria
Ba
se
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on
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p
latf
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,
”
In
t.
J.
S
o
f
tw
.
En
g
.
it
s
A
p
p
l.
,
v
o
l.
9
,
n
o
.
6
,
pp
.
1
–
1
2
,
2
0
1
5
.
[5
9
]
J.
M
.
A
l
v
e
s,
D.
B.
L
.
A
lb
in
o
,
M
.
C.
Re
se
n
e
r,
M
.
Zan
n
in
,
A
.
S
a
v
a
ris,
C.
G
.
V
o
n
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n
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m
,
d
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n
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.
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o
n
W
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n
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e
n
h
e
i
m
,
“
Qu
a
li
t
y
Ev
a
lu
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ti
o
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f
P
o
iso
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C
o
n
tro
l
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a
ti
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S
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:
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s
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TAT
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st
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m
,
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d
in
g
s
-
IEE
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p
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m
o
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ter
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6
,
v
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l.
2
0
1
6
–
A
u
g
u
s,
pp
.
3
0
–
35.
[6
0
]
J.
M
.
A
lv
e
s,
A
.
S
a
v
a
ris,
C.
G
.
v
.
W
a
n
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d
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n
A
.
v
.
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g
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im
,
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lu
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In
f
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e
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n
d
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e
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lt
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6
IE
EE
2
9
t
h
In
tern
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m
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m
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Co
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p
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ter
-
Ba
se
d
M
e
d
ica
l
S
y
ste
m
s (CBM
S
).
pp
.
7
6
–
8
1
,
2
0
1
6
.
[6
1
]
S
.
M
o
to
g
n
a
,
A
.
V
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tern
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.
[6
2
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6
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3
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tern
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2
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9
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0
1
2
.
[6
4
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K.
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u
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pp
.
1
9
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1
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.
[6
5
]
J.
R.
Ov
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.
pp
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2
4
4
–
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4
9
,
2
0
1
5
.
[6
6
]
M
.
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P
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t
.
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tr.
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g
.
,
v
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.
4
,
pp
.
1
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2
9
,
2
0
1
6
.
B
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RAP
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m
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m
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,
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.
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ra
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in
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m
p
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e
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n
d
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e
c
tro
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ics
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p
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rtme
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ts,
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a
c
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lt
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m
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ti
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s
&
Na
tu
ra
l
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c
ien
c
e
,
Un
iv
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a
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jah
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k
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n
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tera
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t
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m
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n
d
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re
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g
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g
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:
ten
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m
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),
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t.
Em
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:
k
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b
ib
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id
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