AI-POWERED TEST AUTOMATIONFRAMEWORKS: CHOOSING THE RIGHTTOOLS

Abstract

Over the years, there has been tremendous progress in the software development
industry coupled with rapid development cycles. Those days of lengthy release cycles
which made it possible to have extensive manual QA processes are long gone.
Companies now have to push their clients continuously to satisfy them and beat the
competition, and for that reason, automated QA is more of a must than an advantage.
QA automation promotes quality while speed, allowing problems to be detected and
fixed within development. At the same time, traditional test automation frameworks,
while useful, do not seem to keep up with the ever-changing complexity of today’s
applications. Modern applications can be defined as ever evolving due to ever changing
interfaces, ever changing dependencies and active integrations that develop through
iterations renders static test cases irrelevant very quickly.