Easily analyze large volumes of bug data and detect patterns for accurate bug detection
Examine a wide range of code and data patterns that manual processes could miss.
Analyze the potential areas of high bug density or code sections with insights to enable testers to prioritize tests.
As Machine Learning is continuously trained, it adapts to change and improves bug detection over time.
By handling large and complex software systems, Machine Learning can easily scale and accommodate the growing demands of modern software development.
By adopting ML in software testing, bugs can easily be identified and resolved earlier in the development cycle leading to higher software quality.