Test architecture integrates technical and human factors for efficient automatic testing systems.
Analyzing test trends rather than individual failures enhances reliability and productivity.
A collaborative testing framework empowers feature teams to write effective tests.
Machine learning aids in triaging test failures, improving quality control.