Overview
Software automation replaced traditional manual software testing. However, software automation testing still requires human testers to complete some tasks. Autonomous testing leverages Artificial Intelligence (AI) and Machine Learning (ML) to help teams create, execute, and maintain automated tests for AUTs. It is a new approach to software testing that is machine-driven and uses AI.
Autonomous Testing
Autonomous testing is a new approach to software testing where tests are autonomous without testers’ intervention. The testing is entirely driven and managed by AI technologies. The approach uses
Machine learning, Deep Learning, Generative AI( GenAI), or automation technologies to eliminate the need for human intervention.
Autonomous testing uses AI/ML to drive software testing without human intervention. From test data creation to execution, autonomous tests can perform a complete end-to-end test independently. It uses AI and ML techniques to generate test scripts, called AI-generated test scripts. These test scripts are self-healing and require zero maintenance.
Self-Healing Tests
Self-healing tests can automatically detect and correct issues encountered during test execution. This may involve rerouting test steps if elements on the user interface change, updating test data dynamically, or retrying failed tests in case of intermittent failures( flaky tests).
Predictive Analysis
This testing uses Predictive analysis. Predictive analysis is identifying patterns from historical test data. This technique predicts issues before they occur based on the past
behavior.
Autonomous Testing Tools
Some popular testing tools are listed here.
More information: