1. UFT as the Backbone of Professional Test Automation
Companies with complex IT landscapes need a tool that reliably covers GUI, web, SAP, and API testing. UFT One by OpenText provides this versatility and enables seamless test automation without tool fragmentation. Its stable object-model structure ensures long-lasting and maintainable tests — a decisive advantage for regression testing and long-term projects.
2. Reusable Test Functions Through Descriptive Programming
UFT allows flexible, script-free or script-based creation of test steps. With descriptive programming, you can:
- develop robust function libraries
- reuse test steps
- apply central changes to the object model
The result: reduced maintenance effort and improved test stability.
3. Complete Traceability Through ALM Integration
The connection between UFT and ALM enables a structured process:
- centralized test case management
- test script versioning
- automatic result collection
- repeatability of test cycles
This is a critical advantage for regulated industries or companies with compliance requirements.
4. Modern Features: AI-Based Object Recognition & API Testing
Current UFT versions use AI to reliably identify dynamic interfaces. At the same time, UFT covers API testing, enabling both frontend and backend validation within a single tool. This saves time, reduces tool switching, and increases test reliability.
5. Best Practices for Scalable Frameworks
To achieve maximum efficiency and stability, cbueche.de recommends:
- modular function libraries
- centralized object descriptions
- consistent error handling and logging
- flexible data integration (Excel, databases, APIs)
- clear separation of actions, libraries, and resources
This architecture allows teams of all sizes to automate tests efficiently and accelerate release cycles.
6. Conclusion: Ensuring Long-Term Quality with UFT One
UFT One is a strategic tool for companies that require stable, scalable, and well-documented test processes. With this tool, test automation can be implemented efficiently — from robust scripts and modular frameworks to modern AI-supported object recognition. This enables teams to secure long-term software quality and reliably accelerate release cycles.