Скачать или смотреть How does AI-based test automation differ from traditional test automation?

Traditional test automation works on predefined scripts to execute tests. However, these scripts are often fragile and require constant maintenance as the software changes. AI-based testing, on the other hand, uses machine learning algorithms to self-heal test cases, adapt to UI changes, and create intelligent test scripts that grow even more sophisticated over time. AI systems can identify problems early by recognizing patterns and adjusting tests dynamically as the code changes.

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