Within this section, you'll find all the available data tables in the SQAI Suite application. Each data table is presented on its own dedicated page.
For now, only one option is available, the future there will be a dedicated space for performance tests as well, however now it is focused on Test Cases & Automation
Test Case Management
This page displays all the test cases generated by the SQAI Suite application or added from your chosen test management tool. By default, they are sorted by date, from newest to oldest. However, you can sort them by any column header. Additionally, a search bar is available to help you find specific test cases quickly.
You can view each test case in your test management tool by clicking on the test case ID. To delete an existing test case, click on the garbage can icon.
Testcases generated by the SQAI suite tool are automaticly added to this table, but you can also add already existing testcases from your management tool to this table.
To do this you click the ‘Add Test Case’ button next to the search bar. A pop up will open where you can search for testcases. When you have found the testcase you want to add, click on the ‘Add test case’ button.
Now this test case is also avalaible in the table, giving you the option to also create test automation scripts for this test case.
Test automation
From within the data tables page, you also have the option to create a test automation script for a specific test case. This feature generates the necessary code in your selected programming language and framework to automate the test case, including all required steps and checks.
Initiate the script creation
SQAI allows you to transform manual test cases into automated scripts through the Create Script interface. This feature leverages your connected code repositories to ensure the generated code aligns with your existing automation framework.
Key Settings and Options
Select a Repository: Use the dropdown menu to choose the specific code repository (e.g., GitLab, GitHub, or Bitbucket) where the automation script should be targeted.
Attempt Build: When toggled on, SQAI will attempt to build the generated code to ensure its accuracy. This process may take longer and use more tokens, but it provides a higher level of verification.
Note: Do not enable this if the current code in your repository is already in a non-building state.
Additional Instructions: This text area allows you to provide specific guidance to the AI, such as naming conventions, specific libraries to use, or particular patterns to follow within the script.
How to Finalize
Cancel: Discards the configuration and returns you to the previous screen.
Generate: Initiates the AI process to create the automation script based on your selected repository and instructions.
Once the script is created, a pull request is automatically generated in the automation project's repository. You can access this pull request by clicking the "Open PR" button.
Troubleshooting: Repository Selection Issues
If you cannot select a repository, it is likely that your code hosting platform (GitHub, GitLab, or Bitbucket...) is not yet linked or authorized within SQAI.
Check out how to set-up your repo
Common Causes
Missing Integration: Your code hosting account may not be connected to your SQAI profile.
Insufficient Permissions: The API token or OAuth connection used may lack "Write" or "Repository" access to that specific project.
Expired Session: Your connection may have timed out, requiring a re-authentication in the settings.
How to Fix It
Navigate to Settings: Go to your SQAI App Settings (not the chat window) to manage your integrations.
Verify Connection: Ensure your provider (e.g., GitLab) is listed as "Connected".
Check Permissions: Confirm the account you linked has access to the repository you want to use.