Can Artificial Intelligence power up your App Testing efforts? - PowerPoint PPT Presentation

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Can Artificial Intelligence power up your App Testing efforts?

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This PPT discusses the growing demand for Artificial Intelligence solutions and how AI can accelerate Application Testing efforts for enterprises. – PowerPoint PPT presentation

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Title: Can Artificial Intelligence power up your App Testing efforts?


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Can Artificial Intelligence power up your
App Testing efforts?
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Can Artificial Intelligence power up your
App Testing efforts?
Software Testing and Quality Assurance has been
leveraged to bring speed and accuracy for the
Digital Transformation efforts by enterprises.
Over the last few years Test Automation has been
increasingly leveraged to ensure optimal accuracy
for various digital initiatives. In the current
scenario software development teams are adopting
Artificial Intelligence (AI) to execute testing
tasks that are repetitive and time consuming. The
underlying purpose is to not only bring speed,
but also ensure accuracy while processing massive
chunks of data to derive meaningful
inferences. According to a PWC research, 45 of
total economic gains by 2030 will come from
product enhancements, stimulating consumer
demand. This is because AI will drive greater
product variety, with increased personalisation,
attractiveness and affordability over time. AI
is indisputably creating a positive stir across
various sectors, and when its about application
testing, the role is equally critical. AI for
Application Testing. Whats the rush? The
application surface is getting complex each day
and various applications interact with each other
through APIs, which add up to the complexity.
Apart from increasing the complexity, there is
immense rush to bring the application to the
market. With demanding market scenario, the
releases that would happen over a months span
are being done within a weeks time. This is
putting tremendous load on testing. Hence,
Machine-based intelligence is needed to overcome
the testing and QA challenges that testers would
face on a regular and recurring basis.
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Can Artificial Intelligence power up your App
Testing efforts?
Constant feedback and scrupulous tracking is
needed to ensure transparency and evaluate the
progress in the testing and development cycle. AI
tools come with inbuilt capabilities to work
smarter and track every inch of activity. This
helps to streamline software testing and make it
more effective for teams. AI-powered continuous
testing platforms are able to track, test, and
constantly update algorithms. This enables teams
to track even the slightest change in the testing
cycle. AI platforms are being widely used for
object application categorizations for all user
interfaces. Additionally, it is even possible to
customize the controls and eventually create a
technical map with labels for various controls
that must be used. It is expected that AI will
also build capabilities to analyze and assess
user behaviour, where a risk preference can even
be assigned to identify the gaps within the
application. It will help to identify the
bottlenecks and then determine the tests that
must be undertaken. AI will help testers to make
data-driven decisions and take a risk-based
automation approach. In fact, by getting AI
within the test strategy, testing teams can skip
the need to update their test cases manually and
identify gaps in a much more effective way. Key
reasons for considering AI within your software
testing strategy We have very much established
the rush for incorporating AI capabilities within
your testing agenda and strategy. But, if we have
to list down the key reasons for considering AI,
these could be the apparent ones.
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Can Artificial Intelligence power up your App
Testing efforts?

Enabling for All Accuracy and Speed are two
established reasons for leveraging AI for App
Testing efforts. AI is expected to empower both
the Testing and Development teams. The greatest
benefit of all is that it enables developers to
access the shared automated tests and conduct
tests initially before the application goes into
the hands of the QA folks. Hence, major
bottlenecks and gaps are resolved in the initial
screening of tests itself. This helps to
substantially save time both at the testing and
development end. It further validates the results
that have been derived by both the teams. Test
thoroughly, dont miss out While conceptualizing
any software testing strategy, it is important to
ensure that you are able to maximize test
coverage for your application. Automated testing
helps to expand the scope of testing for your
application and look at all the aspects within
it. When AI platforms/tools are leveraged to
execute automation tests, testers and developers
can multiply execution of diverse test cases.
Ultimately, it helps to maximize test coverage
that is practically impossible with manual
tests. Read Full Blog at https//www.cigniti.co
m/blog/can-ai-power-up-your-app-testing-efforts/
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