AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
Applied Sciences,
Год журнала:
2025,
Номер
15(3), С. 1344 - 1344
Опубликована: Янв. 28, 2025
The
software
engineering
landscape
is
undergoing
a
significant
transformation
with
the
advent
of
artificial
intelligence
(AI).
AI
technologies
are
poised
to
redefine
traditional
development
practices,
offering
innovative
solutions
long-standing
challenges.
This
paper
explores
integration
into
processes,
aiming
identify
its
impacts,
benefits,
and
challenges
that
accompany
this
paradigm
shift.
A
comprehensive
analysis
current
applications
in
conducted,
supported
by
case
studies
theoretical
models.
study
examines
various
phases
assess
where
contributes
most
effectively.
enhances
productivity,
improves
code
quality,
accelerates
cycles.
Key
areas
impact
include
automated
generation,
intelligent
debugging,
predictive
maintenance,
enhanced
decision-making
processes.
revolutionizing
introducing
automation
lifecycle.
Embracing
AI-driven
tools
methodologies
essential
for
staying
competitive
evolving
technological
landscape.
Язык: Английский
The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges
Energies,
Год журнала:
2025,
Номер
18(6), С. 1523 - 1523
Опубликована: Март 19, 2025
The
transformation
of
energy
markets
is
at
a
crossroads
in
the
search
for
how
they
must
evolve
to
become
ecologically
friendly
systems
and
meet
growing
demand.
Currently,
methodologies
based
on
bibliographic
data
analysis
are
supported
by
information
communication
technologies
have
necessary.
More
sophisticated
processes
being
used
systems,
including
new
digitalization
models,
particularly
driven
artificial
intelligence
(AI)
technology.
In
present
review,
342
documents
indexed
Scopus
been
identified
that
promote
synergies
between
AI
transition
(ET),
considering
time
range
from
1990
2024.
methodology
includes
an
evaluation
keywords
related
areas
ET.
analyses
extend
review
authorship,
co-authorship,
AI’s
influence
system
subareas.
integration
resources,
supply
demand,
which
renewable
sources
play
leading
role
end-customer
level,
now
conceived
as
both
producer
consumer,
intensively
studied.
results
has
experienced
notable
growth
last
five
years
will
undoubtedly
future
achieving
decarbonization
goals.
Among
applications
it
enable
be
design
up
execution
start-up
power
plants
with
control
optimization.
This
study
aims
baseline
allows
researchers,
legislators,
government
decision-makers
compare
their
benefits,
ambitions,
strategies,
novel
formulating
policies
field.
developments
scope
sector
were
explored
relation
domain
parts
chain.
While
these
involve
complex
analysis,
techniques
provide
powerful
solutions
designing
managing
high
penetration.
represents
fundamental
shift
market
design,
enabling
more
efficient
sustainable
transitions.
Future
lines
research
could
focus
demand
forecasting,
dynamic
adjustments
distribution
different
generation
sources,
storage,
usage
Язык: Английский
Development of 3D Modelled, Skill/Training Center in REVIT
Aniketh Arvind,
Mr. Zafar Alim,
M Dhivyadharshan
и другие.
International Journal of Advanced Research in Science Communication and Technology,
Год журнала:
2025,
Номер
unknown, С. 148 - 157
Опубликована: Апрель 10, 2025
The
goal
of
the
project
is
to
create
an
optimised
layout
design
for
imparting
training
at
centre
using
Revit
software.
center
deals
with
identifying
and
rectifying
mistakes
made
by
workforce
in
industry
improving
their
skills.
model
focuses
on
space
utilization,
improved
allocation
workstations,
class
rooms
emergency
exit
areas.
It’s
also
designed
considering
futuristic
scope
integrating
new
technology
center.This
study
highlights
importance
effective
planning
skill
development
centers
(otherwise
called
centers)
a
productive
learner-friendly
environment
while
maintaining
compliance
safety
accessibility
standards
Язык: Английский