The accuracy and reliability of AI-based testing tools heavily depend on the quality of _______________ used for training.

  • Test Data
  • Test Scenarios
  • Test Scripts
  • Training Data
The quality of training data significantly impacts the accuracy and reliability of AI-based testing tools. High-quality, representative training data ensures that the AI model learns relevant patterns and behaviors, leading to more effective test automation and accurate identification of expected outcomes during testing processes.
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