Autonomous Testing: A Detailed Guide

Autonomous testing is an approach that uses AI/ML technologies to automate test creation, execution, and maintenance, speeding up the test process and reducing manual work. It improves efficiency, ensures faster testing and delivery, boosts software quality, minimizes errors, improves test reporting, and reduces costs. The transition from manual to autonomous testing involves stages like assisted test automation, partial test automation, integrated automated testing, intelligent automated testing, and finally autonomous testing. Autonomous testing tools include KaneAI, Functionize, SeaLights, Worksoft, and TestCraft. However, challenges with autonomous testing include training AI for all projects, incompatibility with all phases, doubts on AI accuracy, integration with other tools, lack of standardization authority, frequent maintenance, high production and costs.