Will AI make Software Testing irrelevant?

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Will AI make Software Testing irrelevant?
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Will AI make Software Testing irrelevant?
Our smart Virtual Assistants Alexa, Siri, and
Google Home have already proven to all of us how
wondrous and helpful the world of Artificial
Intelligence (AI) can be. You must have come
across numerous debates, discussions, and
conferences around the globe that have woven
around what AI can do and cannot do for the
beings on the planet. Considering that the
technology is so descriptive and expansive, a lot
can be explored and discovered about its benefits
as well as hazards. When it comes to Software
Testing, will the AI story kill the climax
estimated by QA or the story will take a
different twist? Currently, Machine Learning
(ML) and AI seem to be the most interesting zones
in the QA process. Venture Capitalists,
innovators, start-ups, QA practitioners, and
every big and small enterprises are interested in
how AI will contribute to their application
development process. Software Testing and QA
being an integral aspect, experts are focussing
their energies on leveraging AI to automate and
accelerate application testing. This raises the
concern, if AI and ML can get so efficient, can
it kill the relevance of Software Testing and QA
in the near future? Diego Lo Giudice, VP and
Principal Analyst at Forrester in one of his
articles mentions, AI will most likely help you
be more productive and creative as a developer,
tester, or dev team rather than making you
redundant. Dont be afraid. Take advantage of
this opportunity and youll get an immediate
return It will give you more time to be more
creative and to deliver more innovation which
will help you save your job in the long term!
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Will AI make Software Testing irrelevant?
From the likes of these, AI comes across to be an
enabler to the application development process,
rather than a challenger. Today the software
development and testing industry is considering
AI for various amends and benefits. The reason
being, it might have a significant impact on the
way the application turns out. Practically, you
can achieve a lot with AI that goes beyond the
immediate benefits of automation. Ensuring your
software testing process is measurable and
traceable is absolutely critical in the current
scenario. A gaming application needs upgrades and
testing to confirm its performance and
functionality. When AI-led tools are applied, the
testing activity can be measured by testers
objectively and at ease across locations. It also
give them the opportunity to trace back and forth
through the tool to confirm and reconfirm the
gaming act. Efficiency might be the key to
perfection, but traceability and measurability
can be a massive contributor. Taking this to the
next level, Software Testing and QA has been
constantly evolving through the years. The best
way to take the notch higher is by making it a
self-learning mechanism rather than a
tool-infused process. Lets see, when a banking
application is being tested with an AI-led
testing tool, each feature can communicate, and
get cues from each other to become better and
much more responsive. In a way, AI can help put
testing on a self-learning mode, where it
encourages unsupervised learning for the
application. This can be a revolutionary moment
in the software development and testing cycle.
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Will AI make Software Testing irrelevant?

Can we expect an AI-enabled Testing environment
soon? An immediate response to this question
would be, How complicated can your application
get in the near future? Test Automation evolved
through the application development process to
ensure that testing remains foolproof and
indispensable. Building an AI-enabled environment
across software testing ensures that testing
continues to grow with relevance and gets
absolutely business-critical. Read Full Blog at
https//www.cigniti.com/blog/will-ai-make-softwar
e-testing-irrelevant/
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