Predicts Potential Defects Using Machine Learning.
Prioritizes Testing Efforts Based on Historical Data
Automatically Generates and Executes Test Cases
Analyzes Test Data to Identify Trends and Anomalies
Leverages NLP to Understand User Requirements
Adapts to Changes in The Software Environment
Reduces Maintenance Burden on QA Teams
Ensures Consistent User Experience Across Devices
Integrates With CI/CD Pipelines for Faster Releases
Provides Predictive Analytics for Risk Assessment