Testing Center

In the Testing Center, a model can be applied against a dataset to determine the calculated outputs. This is beneficial for use cases around regression testing, model simulation, and portfolio projection.

To access this feature, after choosing a specific service from Folder overview, choose the Testing Center icon from the service sidebar.

Learn more about this feature in How to: Test services (Testing Center).

Manage testbeds

A testbed contains a set of inputs to run against a model. The Testing Center screen will list all the testbeds that created against the particular service. This screen includes the functionality to delete, download, favorite, run, and search testbeds.

Create new testbed

A testbed can be created using one of the three methods:

• Upload testbed.

• Randomized test case generation.

• Systematic test case generation.

Review testbed details

The Testbed details page is a drill-down section of a testbed. After a testbed is run, it will appear on this page.

• The heading section, which contains additional details about the testbed.

• The testbed results section, which shows all of the testbed results associated with the testbed. This can include test results that are from a Spark testbed run or test results uploaded into Spark.

Actions that can be performed in the testbed details include:

• Add test cases.

• Upload testbed result.

• Compare testbed results.

• Download testbed result.

• Delete testbed result.

• Explore test case in API Tester. When provided with a test case id , the API Tester will load with the corresponding service version and the inputs from the test case.

• Aggregate testbed result.