How artificial intelligence can help you achieve up to 6X increased testing velocity
In an agile world, developers are under pressure to release new software continuously, while at the same time, applications are becoming more complex and multi-layered.
Many have turned to risk-based testing (RBT) as their saving grace, only to realize that RBT has its limitations—namely, accuracy and speed. The likelihood and impact of the failures are often based on instinct, not facts and data.
To meet the true goals of RBT, risk-based testers need help, and the answer is planning augmentation using AI.
In Qualitest’s AI webinar, you will learn about:
Real-world examples of AI in action to speed up time-to-market, reduce costs and free engineers to focus on what matters most
How AI can help to better understand testing and identify defect trends
Using AI to shift tests left or right to optimise effort expenditure
How AI can help find gaps in testing efforts, whether low coverage or new testing types
