Involvement In Testing

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Involvement In Testing

• Artificial Intelligence started in the 1950s,
  picked up pace steadily, braved the AI winters,
  and now, it is omnipresent in different fields
  like defense, medicine, engineering, software
  development, data analytics, etc.

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Where AI wins

• Test case generation Test case generation with
  AI saves a significant amount of time and effort.
  It also renders scalability to software testing. 
• Test data generation AI can generate a large
  volume of test data based on the past trends
  within a matter of seconds, which otherwise can
  take more time if left for manual work.
• Test case maintenance  AI can dynamically
  understand the changes made to the application
  and modify the testing scope accordingly.
• Predictive analysis AI certainly has an
  advantage when it comes to analyzing a huge
  amount of test results in a short time. It can
  scan, analyze and share the results along with
  the recommended course of action with precision.
• We have a detailed blog that covers the benefits
  of AI testing and intelligent automation.
  Click here to read more.

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Where humans are still needed

• Edge test cases There might be certain test
  scenarios where a judgment call needs to be
  taken. If AI does not have enough data and
  learnings from the past, it may falter. That is
  when human intervention is critical.
• Complex unit test cases Unit testing for complex
  business logic can be tricky. AI can simply
  generate a unit test case based on the code it
  has been fed. It cannot understand the intended
  functionality of the module. So if there is a
  flaw in the

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