Published: 06 October 2025
Summary
AI-augmented software testing tools are context-aware, data-driven and increasingly autonomous, and enable software engineering leaders to deliver higher quality products faster. Use this research to evaluate the capabilities of AI-augmented software testing tools against common use cases.
Included in Full Research
- ACCELQ
- Applitools
- BrowserStack
- Katalon
- Keysight
- LambdaTest
- OpenText
- SmartBear
- Tricentis
- UiPath
- Self-Healing For Test Scripts
- Team Collaboration
- Manual to Automated Test Conversion
- Test Framework Support
- Test Orchestration + Prioritization
- Defect Prediction
- Service Virtualization/API Testing
- Test Data Generation
- Dashboard
- Accessibility
- Agile Software Delivery
- Migration to the Cloud
- Generative AI Applications and Agents
- Multimodal Experience
Critical Capabilities Methodology