Use Vansah Intelligence to turn requirement information into suggested Test Case headlines and scripts. Start from a Jira work item or Test Folder, review the suggestions, and create the cases your team needs.
Choose where to start
Your source | Guide |
A Jira work item’s requirements | |
Requirements organized in a Test Folder | |
Context that needs preparation |
The source should explain the behavior, rules, and expected outcomes you want to test. Resolve missing or contradictory requirements before relying on the suggestions.
Generate and review the cases
Ask your administrator to activate Vansah Intelligence and check your permission to use it in the Jira space.
Open the chosen work item or folder and start its AI Test Case generation action.
Review the available context and choose the case type, script format, and scope offered by that workflow.
Generate headlines. Edit the proposed wording, remove irrelevant suggestions, and select the cases to create.
Continue to generate the selected scripts.
Open the created cases and review their details before using them for execution.
The example below shows headline generation in an earlier interface. Current controls and available settings are described in the linked task guides.
Understand the output
Headlines help you review the intended scenarios before generating their scripts. The selected script format determines how the resulting instructions are organized. Vansah assigns the case’s readable key when the record is created.
Review case descriptions, preconditions, steps, test data, and expected results wherever they are included. Check priority and other attributes against your team’s conventions rather than assuming that generated choices are final.
Check coverage and accuracy
Compare the proposed cases with the acceptance criteria and business rules.
Check positive, negative, and boundary scenarios relevant to the requirement.
Remove duplicates and combine overlapping cases where appropriate.
Verify that another tester could follow the steps and recognize the expected outcome.
Correct unsupported assumptions before execution.
AI-generated content needs human review. Generation does not execute the tests or prove that every requirement and risk is covered.
If generation stops
Completed cases can be saved while generation continues. If the process stops or reports an error, review the created cases and progress before retrying. Continue with the remaining cases where the interface offers that option, rather than starting the whole selection again.
Review the context and data policies
The information used depends on the feature, selected source, permissions, configuration, and available context. It can include more than the work item summary and description. See How Vansah Intelligence Works for the processing flow.
For governing terms and data handling, review the Vansah Intelligence AI Policy, Data Residency Policy, and Information Security Policy.