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In this special webinar, we’ll show you how to get the most out of the new AI integrations in QF-Test. With QF-Test 10, you can use AI to test non-deterministic UIs, validate UI components based on semantic criteria, generate test data, and much more.
Materials
- Presentation (PDF)
- QF-Test Connected MCP Server (Public Preview)
- AI browser interaction demo (.qft)
- AI data driver demo (.qft)
This video gives you a first look at the AI-powered features of QF-Test. For the latest developments and most current features, we recommend checking out our more recent videos on AI testing:
QF-Test 11 – Agentic AI features and more
Avec QF-Test 11 et son MCP intégré, QF-Test est prêt pour les workflows d’IA basés sur des agents. Outre plusieurs améliorations utiles de l’interface utilisateur, il est désormais possible de générer automatiquement des appels de procédure complexes directement pendant l’enregistrement. Cette vidéo vous présente les nouveautés.
AI agents in action: autonomous test generation and MCP with QF-Test 11
In this webinar, we’ll show you how QF-Test 11 integrates AI directly into your everyday testing workflow. From AI instructions in individual test steps to automatically generating comprehensive test cases.
Contents
Artificial Intelligence
A Large Language Model (LLM) auto-completes text prompts according to previously trained statistical connections.
Our Mission
QF-Test provides AI integrations that increase the productivity of test automation engineers without calling the quality of the results into question.
QF-Test builds on the expertise of QA professionals without replacing them.
AI in QF-Test will always remain optional.
„Bring Your Own Model“
- More flexibility
- No extra costs
- Better data privacy
AI Configuration
Your key to all AI functionality in QF-Test
Check text with AI
Semantic text checks in the UI of the application under test.
Use cases:
- Testing a chat bot integration
- Checking the semantic content of text
- Checking the language of text
ai.ask and the AI Scripting Module
Send LLM requests in any scripting context.
Use cases:
- Test data generation
- Advanced test run integrations
Test generation with QF-Test – Sneak Preview
- Level 1: Test cases and test steps are generated from an existing test definition.
- Level 2: QF-Test agent executes pre-planned test steps; the interactions are recoded. A robust, repeatable test is created.
QF-Test MCP Server
MCP (Model Context Protocol): Integrating external services into an LLM tool
Future versions of QF-Test Pro will include an integrated MCP server. This will enable agent-based workflows with QF-Test.
Advantages over other automation MCPs:
- Controlling Windows, iOS, Android, Java, and web applications
- Strong component recognition by combining QF-Test intelligence and artificial intelligence
The experimental QF-Test Connected MCP Server (Public Preview) allows integrating QF-Test into agentic workflows today.
AI and Test Result Evaluation
- Explain test failures and suggest corrective actions
- Analyze “component not found” errors
- Analyze text comparison diffs
- Summarize test reports
Your ideas are welcome!
What‘s the Price?
- Basic AI features such as AI checks or test suite generation are and will remain included in the standard price of every QF-Test license.
- “Bring your own model”: Costs for using AI itself may arise depending on the chosen model and provider.
In the future:
- Advanced features such as integrating QF-Test into agent-based workflows via MCP will require a QF-Test Pro license.
- If there is sufficient interest: Secure, privacy-compliant access to AI models directly via QF-Test.