The traditional testing of complex systems is labor intensive, time consuming and limited. Project teams must test thoroughly to ensure software quality.

How do you transition from traditional quality engineering (QE) to an AI-driven testing strategy while ensuring long-term sustainability?

Fuzz testing, commonly known as fuzzing, is an automated software testing strategy that involves providing invalid, unexpected, or random data as inputs to computer programmes.