Benefits of Artificial Intelligence for Software Testing and QA Outsourcing - PowerPoint PPT Presentation

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Benefits of Artificial Intelligence for Software Testing and QA Outsourcing

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Artificial Intelligence will be the next big thing, but it won’t replace humans. Artificial Intelligence can quickly execute many tests, although it cannot perform final tests yet. Human testers must execute implicit and latent testing. Moreover, humans will still be able to manage the testing results. QA testers can observe the most exciting aspects of QA tests when they work in harmony with Artificial Intelligence. Artificial Intelligence can be revolutionised by QA engineers who work hand-in-hand. Get access to the best Test Automation Outsourcing services with TFT Are you looking for the right Software Testing Outsourcing company to outsource your testing needs? We have your back! TFT’s team of highly skilled, experienced manual testers have a solid foundation in many of the testing methods which allows them to detect and find even the smallest bugs. – PowerPoint PPT presentation

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Title: Benefits of Artificial Intelligence for Software Testing and QA Outsourcing


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(No Transcript)
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  • Benefits of Artificial Intelligence for Software
    Testing and QA Outsourcing
  • Artificial Intelligence has the potential to
    detect bugs and glitches with no human
    intervention quickly. Artificial Intelligence
    aims to reduce tedious manual work by automating
    repetitive tasks for software engineers. It seeks
    to solve future problems by learning from the
    past. Although software engineers must continue
    to do what they do, now they have access to
    AI-based automated testing tools that can be used
    to increase their efficiency.
  • Artificial Intelligence will allow QA testers to
    transform from being software testers to becoming
    an automated testing team. Artificial
    Intelligence tends to increase the efficiency of
    QA tests. AI is fast gaining ground in this space
    as around 70 of testing is recurring. This will
    allow for many changes in the field of testing.
    Software testers can use AI tools to increase the
    quality of an item launched quickly and
    significantly.

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  • 1) High Level of Accuracy
  • Manual tests can be accurate, but they are not
    always error-free. Sometimes, QA engineers do not
    notice the possibility of bugs or errors. To
    complete the recurring test, QA engineers use
    automated software. Automating test steps allows
    you to perform the same actions repeatedly
    without losing details.
  • 2) Better Defect Tracking
  • There are many bugs and errors. Old test methods
    leave bugs and errors unnoticed for long periods.
    These bugs that are not noticed become annoying
    later. Artificial Intelligence can detect flaws
    in seconds and can analyse these bugs. The number
    of bugs and errors in test data increases with
    increasing test data. As such, artificial
    Intelligence automates processes so that codes
    can be corrected automatically, and software
    testing teams can smartly do bug tracking.
    Artificial Intelligence detects duplicate errors
    and takes debugging logs fingerprints.

4
  • 3) Higher Flexibility
  • Traditional test scenarios only consider one path
    or selector. This makes such test approaches
    somewhat rigid. Testing failures can occur even
    for the most obvious modifications to an app.
    Artificial Intelligence and ML allow for highly
    flexible testing procedures and knowledge
    relationships among several documentation
    elements. These systems are both reliable and
    flexible, as they can automatically adapt to any
    changes in real-time.
  • 4) Controls Testing Time
  • Artificial Intelligence is used in QA testing to
    reduce the time spent performing manual tests. QA
    teams can apply their skills to complex jobs that
    require human interpretation. Developers and QA
    staff would need to make little effort to plan,
    prioritize, write and manage E2E testing. It will
    speed up the release timelines and allow
    developers to use their resources to create new
    products rather than testing a new release.

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  • 5) Enhanced regression tests
  • Regression tests are becoming more critical as
    technology advances. Organizations can use
    Artificial Intelligence to perform a few
    repetitive regression test tasks, and Machine
    Learning can be used to create test scripts.
    Artificial Intelligence/Machine Learning can be
    used to scan the User Interface for overlap,
    size, shape, and colour. These tests would
    usually be done manually. Artificial Intelligence
    can also be used to validate any alterations that
    a software tester might miss.

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  • Conclusion
  • Artificial Intelligence will be the next big
    thing, but it wont replace humans. Artificial
    Intelligence can quickly execute many tests,
    although it cannot perform final tests yet. Human
    testers must execute implicit and latent testing.
  • Moreover, humans will still be able to manage the
    testing results. QA testers can observe the most
    exciting aspects of QA tests when they work in
    harmony with Artificial Intelligence. Artificial
    Intelligence can be revolutionised by QA
    engineers who work hand-in-hand.
  • Get access to the best Test Automation
    Outsourcing services with TFT

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