In software development, testing is an indispensable part of the life cycle. Machine learning in software testing will be a vital component for producing quality products.
According to research, global annual revenue from AI software is forecast to grow 1,248%, from $10.1 billion in 2018 to $126.0 billion by 2025. Experts project that AI will contribute nearly $16 trillion to the global economy. Productivity will transform as industries can vastly augment their workforce with AI. With all of this growth, testing software stability will require an evolution.