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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 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.

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.
  - Data navigator
    The home page of Data contains a navigation panel called as the Data navigator. The Data navigator is a central hub for managing and organizing data definitions and datasets in multiple folders for your project.
- 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.

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.

You can access the data fabrication feature and datasets from Author > Data in the HCL OneTest™ Server UI. The home page of Data provides easy access to the data definitions and datasets of projects in multiple branches. You can efficiently organize the Data definitions and datasets that you have created or modified in HCL OneTest™ Server.

Data definitions represent the data structures that are composed of one or more generators. HCL OneTest™ Server provides you the interface to create and manage Data definitions so that you can design data structures that closely resemble the real-world scenarios. You can configure generators, define rules, set restrictions and distributions if required, and generate test data using a Data definition. You can generate realistic and diverse test data for comprehensive testing scenarios.

Datasets provide tests with variable data during a test run. The test that uses a dataset at the run time replaces a value in the recorded test with variable test data that is stored in the dataset. In HCL OneTest™ Server, you can create a dataset and use its values during the run time to test various scenarios.

To conclude, you can use the data fabrication feature and datasets in HCL OneTest™ Server to provide tests with comprehensive and realistic test data.

To use the dataset feature, see Datasets overview.

To use the data fabrication feature, see Data fabrication.