Feature availability: Elite & Enterprise plans
What are Parameters?
A parameter is a named placeholder that you can embed inside test‑case steps or expected results by wrapping the name in double curly braces — for example `{{email}}`. During execution, TestCollab swaps the placeholder with real data coming from a linked dataset.
What is a Test Dataset?
A test dataset is a table that lists one or more parameters as columns and holds one or more rows of data for them. When a dataset is linked to a test case, the same test logic can be re‑run for every row, capturing separate results for each iteration.
Why use test datasets?
Design data‑driven test cases without copying and pasting steps
Avoid rewriting tests for every data combination
Re‑run the same test with different parameter values at any time
Record distinct results for each data variation
⏱️ Quick‑start in four steps
1. Create a dataset-
Select a project, then click Settings ▸ Test Datasets and click Add Test Dataset. Give the dataset a unique name. For example- “Login Credentials”
2. Add parameters-
Add one or more Parameter Names (they must be unique within the dataset) , For example- username, password. Now enter sample data in the table cells.
3. Reference parameters in a test case-
Edit your Login test, replace hard-coded strings with
Enter {{username}} → Enter {{password}} . TestCollab will display matching datasets below the steps area.
4. Select Dataset
Choose Select to link an existing dataset or Use as template to clone the dataset structure into a brand‑new one. Save the test case — you now have a data‑driven test.
5. Run the test
Create a Test Plan and start a new run. TestCollab automatically iterates through each dataset row.