Visual testing tackles this challenge by verifying the visual
aspects of an application's user interface (UI) or graphical components.
Intelligent Test Case Generation
The AI-powered model-based testing approach automatically
generates the test cases and scripts from a model
Self-Healing Test Automation Scripts
AI can automatically self-heal the tests and re-execute them
within the same cycle, eliminating manual intervention
Test Data Generation
AI algorithms can analyze existing data sources and can
generate entirely new datasets that mimic real-world data.
Enhanced Defect Prediction and Reporting
AI algorithms can analyze past defect data, including defect
types and frequency to identify trends and patterns.
Increase your test coverage
AI can help to prioritize test cases that are the right tests
for automation. With this, teams can unlock a myriad of benefits, from increased
efficiency and speed to enhanced test coverage
Automating mobile app testing
Leveraging AI in mobile testing can help to test the UI,
functionality, performance, user-friendliness, and security of an app.
Automate security tests
AI-powered Security Testing can identify threats and detect
vulnerabilities like SQL injection and cross-site scripting (XSS)
Test Optimization and Maintenance
AI can help in analyzing the code changes, data, and
historical test results to understand the potential impact of modifications keeping
the original codes maintained
Testing APIs
API Testing involves verification of functionality,
performance, and robustness of APIs along with how it handles the load tests.