AgileTest

Generate Test Cases with AI Generator

The AI Generator in AgileTest uses your requirement descriptions as the primary input to automatically generate relevant test cases and test steps. The clearer the context, expected behavior, and conditions described in the requirement, the better the AI can identify key scenarios, actions, and outcomes that should be tested.

To use the AI Generator, you need to make sure:

  • At least one requirement is available.

  • The requirement descriptions are filled with details.

  • AI features are enabled in the Jira admin settings. To do this, go to ⚙️ → Apps → Agile Test → AI Configuration.

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1. Navigate the Test Case AI Generator

To generate test cases with AI Generator, you can follow these steps:

  1. On the left-hand menu sidebar, navigate to the Classic TestsRequirements Section.

  2. Choose a Requirement you want to create test cases.

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  1. Click on the “AI Generator” button.

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  1. Configure how your test cases are generated.

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2. Steps to configure

2.1 Requirement configuration

On this screen, set your output preferences, then refine the requirement, description, and linked test cases to shape the generated results to your needs.

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2.1 Requirement configuration

2.1.1 Output preferences

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Test Case type: Select one type of test case you want to generate ( Manual cucumber generic )

Coverage focus: Choose the type of scenarios you want the AI Generator to prioritize:

  • None (Default): A balanced set of test cases with no specific emphasis.

  • Functional: Checks that features work as specified, with correct outputs for given inputs.

  • Negative and edge cases: Checks how the system handles invalid, unexpected, or boundary inputs without crashing.

  • Security: Targets vulnerabilities that could lead to unauthorized access or data exposure.

  • Performance: Assesses speed, responsiveness, and stability under load.

  • Accessibility: Checks that the product is usable for everyone and meets accessibility standards such as WCAG.

Output language: Select the language for the generated test cases.

Test Case number: Specify the number of test cases you want AI Generator to create, up to 20 test cases per request.

  • Turn on Auto to let the AI decide the number based on the complexity of the requirement description.

  • Turn off Auto to set the number manually, up to 20 test cases per request. We recommend 3 to 10 test cases at a time for the best output.

Steps per case: Define the number of test steps to include in each generated test case, up to 20 steps.

  • Turn on Auto to let the AI decide the number based on the requirement description.

  • Turn off Auto to set the number manually, up to 20 steps per case. We recommend 3 to 12 steps per test case for the best output.

2.1.2 Source and context

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Requirement: Verify the requirement used as the source for test case generation. You can select another requirement to change the source for generating test cases.

  • Requirement summary: Review or edit the requirement summary. This helps AgileTest AI Generator understand the main purpose of the requirement.

  • Requirement description: Review or edit the requirement details, including acceptance criteria, business rules, or expected behavior. This information is used to generate more accurate test cases.

Note:
Editing the Requirement or Description here does not change the original descriptions in Jira. These edits are used only to shape the AI Generator's output for this generation.

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Why this matters?
The clearer the description, the better the AI can identify the scenarios, actions, and outcomes that should be tested.

Linked Test Cases: Select up to 25 existing Test Cases that are already linked to this requirement. Their summaries are given to the AI Generator as context, so new test cases align with your existing testing approach and avoid duplication. Note that linked test cases are used as reference only and are not modified.

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  • Click “Next” to complete this step.

2.2 Test Case Generation

The AI Generator suggests a list of test cases based on the number you configured. On this screen, the left panel lists the generated test cases and the right panel manages the test steps for the case you select. Here you can:

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2.2.1 View generated test cases

Review the list of suggested test cases in the left panel. You can delete any test case you do not need, or select "Generate more" to add further test cases to the list.

To generate test steps, select a test case. Its steps appear in the right panel.

:question_mark:

Why this matters?
Steps are generated one test case at a time, so you must select a case before its steps become available.

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2.2.2 View generated test steps

With a test case selected, open the "Test Steps" tab in the right panel to review and refine its steps. You can work at two levels.

  1. At the individual step level, you can:

    1. Review and edit the Action, Data, and Expected result fields directly.

    2. Regenerate with AI: Add your feedback to regenerate the test step.

    3. Duplicate: Duplicate a test step to reuse or edit its data.

    4. Delete: Delete a test step you do notGenerate Test Cases with AI Generator dd a test step to the list.

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Pro Tip:
The "Regenerate with AI" and "Regenerate steps" actions open a feedback box. Enter your feedback to guide how the AI regenerates the content, either for a single step or for the whole list.

Specific feedback (for example, "add negative cases" or "include validation checks") produces regenerated steps that better match your intent.

2.2.3 View Test Case details

Open the "Test Case details" tab to review the generated test case name and description. You can edit these details before proceeding.

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When you have reviewed and edited all your test cases and steps, click "Next" to continue.

2.3 Final review & creation

Review your test cases again before generating them. Click “Generate” when you are ready.

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2.4 Results

Your test cases and test steps are now successfully generated.

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To find the newly generated test cases and steps, open the original Requirement, or go to the Test Cases feature. AI-generated test cases are distinguishable by the Source column.


Should you need any assistance or further AgileTest inquiries, contact our 24/7 Support Desk!