UI testing is notorious to be known as challenging since the application design and functionality undergoes several changes during multiple sprints in agile development.
For example, a minor change to the code or adjustment to data can render the test useless if the corresponding test script is not equipped to handle it. This leads to project delays and dissatisfied customers. Customers these days expect a high-performing, user-friendly, and high-quality product. Any lag due to testing can dent the reputation of the organization.
Our article lays down the top challenges faced while AI based UI testing any UI and helps you in understanding how those can be addressed.
