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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.
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.
Deleting Data definitions
You can delete Data definitions to remove them when the data definitions are outdated or no longer relevant to the current project. Additionally, when Data definitions contain errors or inaccuracies that can lead to misleading or incorrect fabricated data, then you might want to remove them. This ensures that the project remains clutter-free, optimizes the performance of HCL OneTest™ Server, and reduces storage requirements.

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.
- 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.
  - Overview of data fabrication
    You can find information about an overview of the data fabrication feature that is available in HCL OneTest™ Server.
  - Creating a Data definition
    You can create a Data definition in HCL OneTest™ Server by using the default settings of the basic generators or by modifying the default settings of the basic generators.
  - Modifying a Data definition
    After you create and publish a Data definition, you can modify the fields or the configuration of the generators in an existing Data definition when you want to change the structure of the test data.
  - Publishing changes in an Edit branch
    After you create or modify a Data definition, a generator, or a generator category in a project in HCL OneTest™ Server, you can publish all the changes that are in an Edit branch to the branch in the project repository. After which, other members in the project can view and use the test resources. The Edit branch automatically disappears from the Branch list of the Data page and the changes made to the project are merged into the previously selected branch name.
  - Viewing a Data definition and its details
    You can view the contents of a Data definition on the Data page in HCL OneTest™ Server.
  - Deleting Data definitions
    You can delete Data definitions to remove them when the data definitions are outdated or no longer relevant to the current project. Additionally, when Data definitions contain errors or inaccuracies that can lead to misleading or incorrect fabricated data, then you might want to remove them. This ensures that the project remains clutter-free, optimizes the performance of HCL OneTest™ Server, and reduces storage requirements.
  - Basic generators
    You can use the built-in basic generators in Data definitions with or without modifying the default configurations of the generators.
  - Generation of test data
    You can use the data fabrication feature in HCL OneTest™ Server to create realistic datasets for comprehensive testing scenarios. You can generate the test data as the Comma-Separated Values (CSV) files that is saved in your system. You can then use these files to replace any existing datasets in a test during the run time. If a dataset is already associated with a test, you can replace the dataset at runtime with the dataset that is created from the data fabrication feature of HCL OneTest Server. This allows you to integrate the generated test data into your test execution process, and you can ensure that your tests are performed with the secure and realistic data.
  - Management of custom generators
    HCL OneTest™ Server provides flexibility to create, modify, and delete custom generators. You can access and modify custom generators to suit your specific data requirements in the Catalog page.
  - Management of custom categories
    HCL OneTest™ Server provides flexibility to create and delete custom categories in the Catalog page. The Catalog page displays both the basic and custom categories of generators in a project.

Deleting Data definitions

You can delete Data definitions to remove them when the data definitions are outdated or no longer relevant to the current project. Additionally, when Data definitions contain errors or inaccuracies that can lead to misleading or incorrect fabricated data, then you might want to remove them. This ensures that the project remains clutter-free, optimizes the performance of HCL OneTest™ Server, and reduces storage requirements.

Before you begin

You must have completed the following tasks:

Ensured that you are assigned a role as a Project Owner or Tester in the project. See Managing access to the server projects.
Created a Data definition. See Creating a Data definition.

Procedure

Log in to HCL OneTest™ Server.

The team space that contains your project is displayed.
Click Active projects > My projects > project_name to open the project that contains the test assets.

The Overview page of the project is displayed.
Click Author > Data.

The Data page and the Data navigator are displayed.
Open the Data definition in the edit branch.
Click the Delete icon to delete the Data definition.
The Delete Data definition dialog is displayed.
Click the Delete button.

Results

You have deleted a Data definition from your project.

What to do next

You can publish the changes performed to the data definition (that is, deletion of the Data definition) to the Git repository so that other members of the project do not see the deleted Data definition. See Publishing changes in an Edit branch.