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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.
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.

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.
    - Creating a custom generator
      You can create custom generators in addition to the existing generators in the HCL OneTest™ Server catalog. You can customize the existing generators and save them as new custom generators to help you create complex real-world scenarios for synthetic data generation. Additionally, custom generators enable the generation of data for specialized fields or domains that may not be readily available in standard datasets.
    - Creating custom generators and categories from Data definitions
      You can create custom generators and categories from existing Data definitions in HCL OneTest™ Server. After you add an existing generator in a field of a Data definition, you can customize the generator parameters that are displayed for the field. You can then save the customized parameters in the Data fabrication catalog as a new generator. You can also save the new generator either in an existing category or save in a new category.
    - Modifying custom generators
      You can modify the parameters of custom generators from the Catalog page of HCL OneTest™ Server. You can make modifications to precisely align the test data that uses the custom generators with the desired dataset.
    - Deleting custom generators
      You can delete custom generators to remove them when custom generators are outdated or no longer relevant to the current project. Additionally, when custom generators contain errors or inaccuracies that can lead to misleading or incorrect fabricated data, then you might need to remove them. This ensures that the project remains clutter-free, optimizes the performance of HCL OneTest™ Server, and reduces storage requirements.
  - 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.

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.

You can use the built-in Basic generators as the base to create custom generators that closely mimic the real-world data patterns and distributions. You can customize the parameters of the Base generators and save them as new custom generators to use them for future uses.

The creation, modification, and deletion of custom generators are restricted to the edit branch only. Also, only those members with either owner or tester roles within the project are authorized to create, modify, or delete these generators. This security measure can help to maintain data integrity and consistency while preventing unauthorized changes in HCL OneTest™ Server. After all the modifications are published, other project members can view the changes and updated assets.