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Test Author Guide
This guide describes how to create and edit test assets in HCL DevOps Test Hub (Test Hub), and then publish test assets to the remote Git repository that you have configured in your project. This guide is intended for testers and test managers.
Working with Datasets on DevOps Test Hub
You can find information about creating datasets in HCL DevOps Test Hub (Test Hub), applying a dataset classification, editing datasets, and managing datasets that are in your project repository.
Viewing an encrypted dataset
You can use the Dataset page to view the contents of an encrypted dataset from HCL DevOps Test Hub (Test Hub).

Test Author Guide
This guide describes how to create and edit test assets in HCL DevOps Test Hub (Test Hub), and then publish test assets to the remote Git repository that you have configured in your project. This guide is intended for testers and test managers.
- Edit branch overview
  When you want to create or modify a test resource in HCL DevOps Test Hub (Test Hub), you must use an Edit branch. An Edit branch is a temporary branch of the branch in the project repository into which you want to add the created resource or edited resource.
- Data overview
  When you want to create realistic test scenarios that can simulate real-world or practical situations, you can use the data fabrication feature in HCL DevOps Test Hub (Test Hub) to fabricate test data. You can also create or edit datasets that pass variable data to tests at test run time.
- Prerequisites for working with Datasets and Data definition
  You can find information about the tasks that you need to perform before you work with datasets and Data definitions in HCL DevOps Test Hub (Test Hub).
- Working with Datasets on DevOps Test Hub
  You can find information about creating datasets in HCL DevOps Test Hub (Test Hub), applying a dataset classification, editing datasets, and managing datasets that are in your project repository.
  - Creating a dataset
    You can create datasets in HCL DevOps Test Hub (Test Hub) to replace the values of existing dataset with the values of new dataset during a test or schedule run.
  - Creating a dataset by using a CSV file
    When you use variable data that is contained in a CSV file, you can import the data from the CSV file and create a dataset in HCL DevOps Test Hub (Test Hub).
  - Creating a dataset by using a Data definition
    When you created a Data definition in HCL DevOps Test Hub (Test Hub) to fabricate test data, you can create a dataset by using the Data definition.
  - Creating a dataset by using a database query
    When you use variable data that is contained in a database, you can create a database query to import the required data from a database and use the data that is present in the database query to create a dataset in HCL DevOps Test Hub (Test Hub).
  - Editing a dataset
    You can add, modify, remove, import, or export data from a dataset.
  - Dataset encryption
    Encrypted datasets are useful when you want to run tests that contain confidential information such as a set of passwords or account numbers.
  - Publishing changes in datasets
    After you create, edit, or encrypt datasets in HCL DevOps Test Hub (Test Hub), you can publish all changes made to a dataset to a branch in the project. After you publish the dataset, other members in the project can use your dataset in their test run, if required. The Edit branch automatically disappears from the Branch list and changes made to the datasets are merged into the selected branch of the project repository.
  - Viewing a dataset
    When test assets includes datasets, you can view the contents of a dataset from HCL DevOps Test Hub (Test Hub). The datasets residing in the Git repository are listed in the Datasets page.
  - Deleting a dataset
    You can delete the dataset when it is not required in your test environment.
  - Viewing an encrypted dataset
    You can use the Dataset page to view the contents of an encrypted dataset from HCL DevOps Test Hub (Test Hub).
  - Changing classification for an encrypted dataset
    To move the encrypted dataset from one classification to another dataset in HCL DevOps Test Hub (Test Hub), you can change the classification for an encrypted dataset.
  - Managing an encrypted dataset
    You can use encrypted datasets to limit access to confidential information such as account number or passwords. You can arrange data by an appropriate category so that project members can use datasets more effectively in certain tests and protect them.
- Data fabrication
  Test data is the core component of any application testing. It is very time-consuming to create test data manually. You can use the data fabrication feature in HCL DevOps Test Hub (Test Hub) to create realistic datasets for comprehensive testing scenarios. The feature provides data fabrication capabilities that can help you to generate synthetic data quickly and efficiently without the risk of data leaks or privacy issues.

Viewing an encrypted dataset

You can use the Dataset page to view the contents of an encrypted dataset from HCL DevOps Test Hub (Test Hub).

Before you begin

You must have opened the dataset to view the contents.

Procedure

Perform the following steps, if you have created a classification but yet to add the encrypted dataset to it:
1. Find the encrypted dataset that you are interested in, and then right-click it.
2. Click the Security option in the menu.
  The Change the classification for the dataset dialog is displayed.
3. Select a classification from the list and enter the encryption key set for the dataset.
4. Click Save to save the classification details.
Right-click the encrypted column and click Show encrypted data.
You can right-click the decrypted column and select Hide encrypted data to encrypt the data again.
Important: The Show encrypted data option is available only when you have added the encrypted dataset to the respective classification.

Results

You have viewed the contents of an encrypted dataset.