Know how AI helps Transform your Software Delivery and Testing practices

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Know how AI helps Transform your Software
Delivery and Testing practices
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Know how AI helps Transform your Software
Delivery and Testing practices
Software Testing and Quality Assurance is like a
wakeup call in the Software Development
lifecycle. It keeps nudging over intervals and
enhances the software delivery process. Software
Testing and QA scene has been transforming over
the last decade, especially, with practices such
as Agile, Shift-left, and DevOps. Artificial
Intelligence (AI) has added another spin to this
game, focussing on Speed, Accuracy, and
Efficiency. Can AI transform Software Delivery
and Testing is a doubt that has been clarified
very well. Lets look at ways in which AI can
change the game for Software Delivery and
Testing. AI can bring in value for the
development teams with shift-left practices that
enable the software development process. While AI
might do the needful, it is important to ensure
that the practices followed for delivery and
testing are effective and are able to leverage
the power of AI. Hence, it is very much essential
to embed trust in the processes and ensure that
there is effective validation and
verification. Practically, AI is being
implemented in parts across the software
development process along with automated software
testing tools. AI-enabled tools and platforms
ensure that the code achieves maximum test
coverage and prioritizes the testing needs. It
brings better efficiency and enables the teams to
run more tests within shorter timeframes. Its
application is possible and effective across any
major industry to ensure velocity and accuracy
for various projects. In the current scenario,
machines are developing and analyzing content for
various platforms such as delivering targeted ads
and content for the customers. This is done by
leveraging various platforms to dig into the data
and make sense out of it. The idea is to form
patterns and make relevant connections, and
accordingly build algorithms to derive the
outcome.
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Know how AI helps Transform your Software
Delivery and Testing practices
AI bots can be trained on complex and repetitive
tasks for software testing purposes, which not
only help to save time, but also bring
efficiency. This can bring down high failure
rates, reduce the costs and boost the
productivity for all testing activities.
Moreover, it will help to plug the gaps between
inadequate infrastructures for delivering testing
results and bringing down the failures and
glitches. Can AI boost the Software Testing
process? Software Testing is absolutely
fundamental to the software development process,
hence, it is undeniably critical to ensure its
effectiveness to deliver a robust application.
There are times when developers and testers fail
to perform the testing tasks rigorously. In such
cases, AI platforms bring value and an elaborate
load of feature to make the process faster and
easier. Additionally, AI has been leveraged to
bring the much needed intelligence to the
software development and testing process with
repetitive patterns. Today, enterprises and
businesses need faster deployments within
inadequate infrastructures. Hence, AI is being
leveraged in an appropriate way to deliver what
is quintessential in the testing and development
cycle. Even the software application scene is
loaded with cyber risks and security issues. This
requires tremendous automation and even a serious
check on the costs. Implementing AI might demand
investment in the initial phase, but the results
are something to look forward to.
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Know how AI helps Transform your Software
Delivery and Testing practices

Additionally, AI can even help provide innovative
testing environments to test an application. This
is the need of the hour, as an application is
bound to encounter unforeseen and unpredictable
situations in the user environment. Hence, it
makes absolute sense to deal with a combination
of situations while the application is under
test. This might not be possible in a manual
testing environment, as the time taken to create
an environment is much longer in a manual set-up
and needs much more maintenance. In an AI
set-up, the maintenance requirements are minimal
and the overall process is automated. This is
possible, as AI involves loads of manual as well
as automated plug-ins for enabling the software
testing process. It incorporates substantial
machine-generated data to derive results and
contribute to the testing and development tasks.
Thats the reason developers are considering a
lot of AI-enabled automation to enhance
efficiency in the testing domain. Read Full Blog
at https//www.cigniti.com/blog/how-ai-helps-tra
nsform-software-delivery-testing-practices/
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