The Role and Benefits of AI in Software Testing and QA - PowerPoint PPT Presentation

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The Role and Benefits of AI in Software Testing and QA

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2023 is a new era in software testing, with 97% of software companies using artificial intelligence to test alongside manual checks if you are looking for Software testing and QA experts then Oprim is your solution Read the entire blog- Contact now to consult- info@oprim.com or +18335567746 | – PowerPoint PPT presentation

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Title: The Role and Benefits of AI in Software Testing and QA


1
The Role and Benefits of AI in Software
Testing and QA
2
What is AI and how does it affect software
testing?
AI in testing automation speeds up development
and allows you to build a product that is stable
for a large number of customers. Even though
automated testing may slow down development in
the initial stages, the AI benefits outweigh its
limitations. AI in Software Testing protects an
application from potential application
failure-overs that could prove to be harmful to
the organization and the application. Testing
with AI is becoming more important as Artificial
Intelligence becomes more common in our daily
lives.
3
8 advantages of AI in Software Testing Automation
Enhance API Testing Enhance Defect Tracing
Improved Regression Testing
Reduce costs
Visual testing
Accuracy Boost Test continuously Perform
(almost) no maintenance
4
1. Reduce costs
Businesses can save money by using no-code
software. A small group of specialists within
the company can set up intelligent tests. 2.
Accuracy Boost These features will save you and
your team hours of testing and fixing, while
also improving the quality and accuracy of your
tests.
5
3. Test continuously
AI-driven testing fits in with Continuous
Integration/Continuous Delivery (CI/CD) and the
Software Development Lifecycle (SDLC). Tests can
be set up to run continuously and intelligently
by organizations. 4. Perform (almost) no
maintenance This technology considers all
element IDs so that if any data points change,
it can compare them to create a model and fix
itself. The test can tell the difference between
data intended to change and broken tests.
6
5. Enhance API Testing AI can also be used to
support end-to end testing by recognising
patterns and relationships between the front-end
interfaces and the back-end.
6. Enhance Defect Tracing AI-based bug tracking
can also easily detect duplicates and recognize
failure fingerprints.
7
  • Improved Regression Testing
  • A machine-learning-based procedure can search
    for overlaps in User Interface modifications. AI
    could also be used for validation of changes
    that may otherwise prove difficult to test
    manually.
  • Visual testing
  • AI testing eliminates the need to manually
    construct frameworks, update Document Object
    Models, and summarize hazards.

8
Final Takeaways
  • There are many professional Software Testing QA
    Services in Canada that do the job with the help
    of AI. Hiring them can help you ship more
    quickly and increase quality, even in a
    difficult economic environment.
  • For a top notch Software testing assistance, do
    Hire our Dedicated QA Tester Team in Canada.
    Feel free to connect our experts.
  • Source- The Role and Benefits of AI in Software
    Testing and QA

9
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Email Address- info_at_oprim.ca
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