AI Test Case Creation in AXQA (Automated Test Case Generation)

AI Test Case Creation allows you to generate structured test cases based on your project context and selected parameters. Instead of manually writing scenarios from scratch, the system combines your project description, chosen settings, and optional AI guidance to produce ready-to-review drafts.

Why it matters

• Reduces time spent creating structured test cases manually.
• Ensures consistency across generated test cases.
• Helps teams quickly expand coverage in a controlled way.
• Maintains full human control before anything is officially added.

When to use it

• When starting a new project and building initial coverage.
• When expanding regression scenarios.
• When you need multiple structured test cases quickly.
• When you want AI-assisted scenario generation aligned with your project scope.

What AI uses to generate test cases

• Your project description.
• Selected test type.
• Assigned role or target.
• Priority level.
• Requested number of test cases (minimum of 2).
• Optional AI note provided by the user.

How it works

1. You open AI Studio and choose to generate test cases.
2. You define the required parameters.
3. The system retrieves your project description.
4. AI combines the project context with your selected inputs.
5. Structured draft test cases are generated.
6. You review the drafts and choose which ones to insert into your project.

Important: Draft Review Phase

Generated test cases are displayed as drafts. They are not automatically inserted into your project.

• You can select which test cases to insert.
• You may save generated drafts for later review.
• Only selected drafts become official test cases after insertion.

How it helps your workflow

• Speeds up early-stage test design.
• Provides structured scenarios aligned with your project.
• Maintains control over final test suite quality.

Best practices

• Write a clear and meaningful project description.
• Use the AI note field to guide generation scope.
• Generate in focused batches rather than large volumes at once.
• Insert only the test cases that fit your strategy.

Common mistakes

❌ Providing vague project descriptions
✔ Detailed context improves generation accuracy.

❌ Inserting all generated drafts without evaluation
✔ Select carefully to maintain regression quality.

Security & data handling

• AI operates strictly within the current workspace context.
• No test case is inserted without explicit user selection.
• Generated drafts remain controlled within your environment.

Related documentation

• How AI Generates Test Cases
• Triggering AI Test Case Creation
• AI Staffing Overview