AI and ML: Driving Testing Excellence

Benefits Of Using AI/ML in Testing

Using AI and machine learning in software testing offers several benefits:

Adaptability: AI algorithms can adapt to changes in the software under test, making them suitable for agile and continuous integration/continuous deployment (CI/CD) environments where frequent updates are common.

    Root Cause Analysis: AI/ML techniques can help identify the root causes of defects by analyzing patterns in testing data, enabling developers to address underlying issues more effectively.

    Proactivity: Allows the team to address issues before they impact the end-user, improving the quality of the application.

    Continuous Improvement: The model becomes more accurate over time, further optimizing the testing process.

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