The Future of Software Testing: AI, ML, and Automation

[Aamlye]

Automation in software testing accelerates processes, reduces manual effort, ensures accuracy, increases coverage, saves time, enhances efficiency, and supports continuous integration.

[Hudson Leo]

The future of software testing lies in AI, ML, and automation, enabling smarter test creation, execution, and defect prediction. AI-driven tools optimize coverage, while ML algorithms adapt to android course in kochi changes, reducing manual effort. Automation accelerates release cycles and ensures higher accuracy. Together, they transform testing into a proactive, intelligent process, delivering faster, more reliable, and scalable software solutions.