By Vinod Chandru

The modern web application is no longer a self-contained hub for the distribution of its own data. Once repositories of their own unique resources, web apps have become a mesh of internal and external data and other information, all carefully intertwined and relying on one another to fulfill their purposes. Applications, both software and hardware, increasingly rely on external APIs to pipe data into their own APIs before being referenced, mutated, or checked against, ultimately providing the application's users with what they seek.


By George Lawton

Manual testing takes too much time, and test automation scripts need ongoing maintenance. Autonomous testing might provide an answer for teams unwilling to compromise on speed. As enterprises increasingly embrace test automation, AI might enable an even more predictive form of testing that will move the industry forward. AI and, more specifically, machine learning can take test automation to the next level in the form autonomous software testing, a capability that speeds the development of new test cases. As software testers learn technical skills for test automation, particularly how to write scripts, autonomous testing can empower them to be more strategic in their efforts.