AI TOOL PROFILE
QF-Test: UI Test Automation Software
- Software Development
- Test Automation
- Software Companies
- QA Engineers
- Enterprise Software Teams
- Non-programming Testers
Pricing
A free trial is available. The software uses a variable license model. Pricing was not clearly available from the provided evidence; buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Software Companies, QA Engineers, Enterprise Software Teams, Non-programming Testers
- Key use cases
- Multi-Platform UI Automation, Collaborative QA Workflow, Testing Non-Deterministic Interfaces, Regression Testing
- Integrations
- Jira, Jenkins, Git, Xray, Q12-TMT
- Official website
- Visit qf test official website
How AI is used
QF-Test is a UI test automation tool designed for enterprise use and maintainability. It supports various environments, including HTML5 web applications, Java-based apps (Swing, SWT/Eclipse, JavaFX), native Windows applications (Win32, .Net, Windows Apps, C++), and mobile apps for Android and iOS, as well as PDF testing.
The software supports both technical and non-technical users. Those without programming knowledge can use record-and-replay functionality and a low-code editor to build tests, while developers can use scripting languages like Jython, Groovy, and JavaScript.
Recent updates include AI integration designed to help users test non-deterministic UIs and generate test data using local AI models like Ollama. The tool also includes an integrated debugger and detailed run-logs to assist in identifying test failures.
Buyers should confirm if the variable license model fits their requirements and whether the local AI specifications align with their infrastructure.
Key Features
Low-Code Record/Replay
Supports the creation and editing of automated tests through a record-and-replay interface without requiring programming skills.
Cross-Platform Support
Supports testing for Web (HTML5), Java (Swing, SWT, JavaFX), Windows native apps, Android, iOS, and PDFs.
AI Integration
Designed for testing non-deterministic UIs, validating components based on semantic criteria, and generating test data using local AI models.
Integrated Test Debugger
Provides step-by-step execution, breakpoints, and variable inspection to help analyze test runs.
HTML Reporting
Generates overview reports including success/failure counts, durations, and screenshots of errors.
SmartIDs
A mechanism designed to address buttons and text fields more directly, which may support test-driven development.
Use Cases
Multi-Platform UI Automation
Automating tests across web, desktop, and mobile applications using a single tool.
Collaborative QA Workflow
Allowing non-programmers to create initial tests via low-code tools while developers refine them via scripting.
Testing Non-Deterministic Interfaces
Using AI-driven checks to validate UI components that may not be consistent in every run.
Regression Testing
Monitoring software quality through regular automated test runs.
Integrations
- Jira
- Jenkins
- Git
- Xray
- Q12-TMT
FAQ
Who is QF-Test designed for?
- It is designed for QA engineers, software developers, and users without programming knowledge who need to automate UI tests.
What platforms can QF-Test automate?
- It supports HTML5 web applications, Java (Swing, SWT, JavaFX), native Windows apps, Android and iOS applications, and PDF documents.
Does QF-Test require programming skills?
- No, users can create tests using a record/replay function and a low-code editor, though scripting is available for developers.
How does AI integration work in QF-Test?
- QF-Test can use local AI models, such as Ollama, to test non-deterministic UIs and generate test data without relying on cloud services.
Source category: Software Development
Source subcategory: Test Automation
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