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Test Author Guide
This guide describes how to create and edit test assets in HCL OneTest™ Server, 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.
Datasets overview
A dataset contains variable data that are used by a test at test run time. The variable data is contained in rows for a specific parameter that is contained in columns. You can decide whether you want to use the dataset associated with the test to be used at run time or override that associated dataset with another dataset at run time.

Test Author Guide
This guide describes how to create and edit test assets in HCL OneTest™ Server, 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 asset or resource in HCL OneTest™ Server, 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.
- Test authoring
  You can use HCL OneTest™ Server to author tests instead of creating the tests by using the desktop products.
- 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 OneTest™ Server to fabricate test data. You can also create or edit datasets that pass variable data to tests at test run time.
- Datasets overview
  A dataset contains variable data that are used by a test at test run time. The variable data is contained in rows for a specific parameter that is contained in columns. You can decide whether you want to use the dataset associated with the test to be used at run time or override that associated dataset with another dataset at run time.
  - Creating a dataset
    You can create datasets in HCL OneTest™ Server 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 OneTest™ Server.
  - Creating a dataset by using a Data definition
    When you created a Data definition in HCL OneTest™ Server to fabricate test data, you can create a dataset by using the Data definition.
  - 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 OneTest™ Server, 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 include datasets, you can view the contents of a dataset from HCL OneTest™ Server. 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 OneTest™ Server.
  - Changing the classification
    To move the encrypted dataset from one classification to another, 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 OneTest™ Server 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.

Datasets overview

A dataset contains variable data that are used by a test at test run time. The variable data is contained in rows for a specific parameter that is contained in columns. You can decide whether you want to use the dataset associated with the test to be used at run time or override that associated dataset with another dataset at run time.

You can create a dataset in your project in HCL OneTest™ Server, that has the same column names as in the associated dataset but different values in the same rows. You can choose to override the associated dataset with the dataset you create in the server project. At test run time, the values from the associated dataset are replaced with the values in the dataset that you create.

Notes:

Only a project Owner or a project member whose role is a Tester can view and edit the dataset.
To view the content of an encrypted dataset, you must provide an encryption key that you set while encrypting the dataset column.
As a Viewer, when you try to access the datasets, an error message is displayed because you do not have the permission to view the datasets.

You can create a dataset in HCL OneTest™ Server by using any of the following method:

Empty dataset
CSV file
Data fabrication