What are the differences between AI testing and manual testing?
AI testing uses algorithms and machine learning to automate test processes, while manual testing involves human testers.
Which one is more effective for software quality assurance?
It depends on the context. AI testing is faster and can handle large data sets, but manual testing is better for exploratory testing.
Can AI testing completely replace manual testing?
Not entirely. While AI can automate many tasks, human intuition and creativity are still essential for certain testing scenarios.
What are the advantages of using AI in testing?
AI can increase efficiency, reduce human error, and provide insights through data analysis, making testing more robust.
Are there any limitations to AI testing?
Yes, AI testing can struggle with understanding context and may require significant initial setup and training.
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