Software
testing
is
a
crucial
phase
of
software
development.
Educators
now
are
assessing
tests
written
by
students.
Methods
have
been
proposed
to
assess
the
completeness
student-written
tests.
However,
there
more
good
test
quality
than
completeness,
and
these
additional
not
assessed
previous
work.
Test
smells
patterns
poorly
designed
that
may
negatively
affect
production
code.
We
propose
in
students'
code
improve
they
write.
In
early
stages
this
research,
we
will
examine
whether
practitioners
actually
spend
time
energy
remove
those
summarized
researchers
backed
real-world
projects.
Then,
develop
evaluate
our
new
assessment
method.
IEEE Transactions on Software Engineering,
Journal Year:
2021,
Volume and Issue:
unknown, P. 1 - 1
Published: Jan. 1, 2021
Test
amplification
generates
new
test
cases
that
improve
the
coverage
of
an
existing
suite.To
convince
developers
to
integrate
these
into
their
suite,
it
is
crucial
convey
behavior
and
improvement
in
amplified
case
provides.In
this
paper,
we
present
NATIC,
approach
generate
names
for
based
on
methods
they
additionally
cover,
compared
suite.In
a
survey
among
16
participants
with
background
Computer
Science,
show
generated
by
NATIC
are
valued
similarly
written
experts.According
participants,
outperform
expert-written
respect
informing
about
improvement,
but
lack
conveying
test's
behavior.Finally,
discuss
how
restriction
two
mentioned
per
name
would
understandability
NATIC.
To
ensure
the
quality
of
a
software
system,
developers
perform
an
activity
known
as
unit
testing,
where
they
write
code
(known
test
cases)
that
verifies
individual
units
make
up
system.
Like
production
code,
cases
are
subject
to
bad
programming
practices,
smells,
hurt
maintenance
activities.
An
essential
part
most
activities
is
program
comprehension
which
involves
reading
understand
its
behavior
fix
issues
or
update
features.
In
this
study,
we
conduct
controlled
experiment
with
96
undergraduate
computer
science
students
investigate
impact
two
common
types
namely
Assertion
Roulette
and
Eager
Test,
on
student's
ability
debug
troubleshoot
case
failures.
Our
findings
show
take
longer
correct
errors
in
when
smells
present
their
associated
cases,
especially
Roulette.
We
envision
our
supporting
academia
better
equipping
knowledge
resources
writing
maintaining
high-quality
cases.
experimental
materials
available
online
1
https://wajdialjedaani.github.io/testsmellstd/
The
manufacturers
of
IoT-based
wearable
devices
present
different
ways
to
deliver
the
captured
vital
signs.
Healthcare
third-party
systems
need
adapt
approaches,
rising
complexity
and
acts
against
any
idea
seamless
integration.
In
addition
interoperability
problem,
we
observed
that
state-of-the-art
does
not
alternatives
capture
analyze
signs
in
such
a
way
they
can
be
used
diagnose
user’s
health
status
automatically.
This
article
presents
HealthTranslator
model,
which
provides
by
integrating
multiple
delivering
their
data
through
an
HL7
FHIR
healthcare
standard
format.
More
precisely,
our
contribution
combines
user-oriented
periodicity
strategies
collect
with
enrichment
over
file,
effortlessly
valuable
insights
regarding
status.
We
developed
microservices-based
prototype
collects
on
APIs
from
companies/wearables.
resources
were
encouraging,
where
Xiaomi,
Apple,
Garmin,
Samsung
read
delivered
Thinking
at
intelligent
cities
level,
provided
is
essential
generate
new
vision
healthcare,
users
patients
will
24/7
monitored
own
homes.
