Welcome
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.
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.

Release Notes
This document includes information about the new features introduced, features deprecated or removed, defects fixed, and known issues identified in this version of HCL DevOps Test Hub (Test Hub). You can also find the installation and upgrade instructions along with the contact information of HCL Customer Support.
System Requirements
This document includes information about hardware and software requirements for HCL DevOps Test Hub (Test Hub).
Getting Started Guide
This guide provides an overview of HCL DevOps Test Hub (Test Hub). You can find the task flows to get you started with Test Hub. This guide is intended for new users.
Administrator Guide
This guide describes how to install the HCL DevOps Test Hub (Test Hub) software.
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.
- 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.
- 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.
  - Overview of data fabrication
    You can find information about an overview of the data fabrication feature that is available in HCL DevOps Test Hub (Test Hub).
  - Creating an empty Data definition
    You can create an empty Data definition in HCL DevOps Test Hub (Test Hub) as the first step to create a Data definition. After you save the empty Data definition to a folder in your project repository, you can edit the Data definition to add the different generators.
  - Creating a Data definition by importing fields from a CSV file
    When you want to create a Data definition in HCL DevOps Test Hub (Test Hub) with specific fields for the test data, you can import a CSV file that defines the specific fields. After you import fields to the Data definition, you can edit the Data definition and add generators for the specific fields before you generate the test data.
  - Creating a Data definition by importing fields from a dataset
    When you want to create a Data definition in HCL DevOps Test Hub (Test Hub) with specific fields for the test data, you can import the fields from a dataset. After you import fields to the Data definition, you can edit the Data definition and add generators for the specific fields before you generate the test data.
  - Saving a Data definition by adding basic generators with their default settings
    After you create a Data definition in HCL DevOps Test Hub (Test Hub), you must add the basic generators with their default settings and save the Data definition before you can generate test data.
  - Saving a Data definition by adding basic generators with their modified settings
    After you create an empty Data definition in HCL DevOps Test Hub (Test Hub), you must add the basic generators with their modified settings, and save the Data definition before you can generate test data.
  - Modifying a Data definition
    After you create and publish a Data definition in HCL DevOps Test Hub (Test Hub), 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 DevOps Test Hub (Test Hub), 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 DevOps Test Hub (Test Hub).
  - 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 DevOps Test Hub (Test Hub), 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 DevOps Test Hub (Test Hub) 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 Test Hub. 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 DevOps Test Hub (Test Hub) 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 DevOps Test Hub (Test Hub) 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.
Test Execution Specialist Guide
This guide describes tasks that you must complete before you can configure and run tests in HCL DevOps Test Hub (Test Hub). You can find information about configuring runs for the different test types that are supported. You can also find information about other tasks that you can perform on the Resource Monitoring Service, Virtualization, and Integrations with third-party applications. This guide is intended for testers or test execution specialists.
Test Manager Guide
This guide describes how to manage and track your overall test effort. This guide is intended for test managers.
Troubleshooting
This guide describes how to analyze and resolve some of the common problems that you might encounter while you work with HCL DevOps Test Hub (Test Hub).
All Guides (PDF)
You can find the link to view or download the content of the release notes, system requirements, and persona guides of HCL DevOps Test Hub (Test Hub) as a PDF file.
Security Considerations
This document describes the actions that you can take to ensure that your installation is secure, customize your security settings, and set up user access controls in HCL DevOps Test Hub (Test Hub).
Notices
This document provides information about copyright, trademarks, terms and conditions for the product documentation.

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.

Before you start using the data fabrication feature, you can review the information in Overview of data fabrication.

You can access the data fabrication feature as Data in the Test Hub UI and 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.

The data fabrication feature in Test Hub provides the following advantages:

Efficiency, which enables you to generate large volumes of realistic test data rapidly compared to manually creating datasets that can be error prone and time consuming.
Data diversity, which enables you to define various data generation rules and distribution patterns so that you can fabricate diverse test data covering a wide range of scenarios.
Data privacy, which enables you to fabricate information that is not based on real data and not breaching any issues of data privacy or sensitive data.
Data re-usability, which enables you to reuse the fabricated data across multiple test cases and scenarios.

You can use the generated data during test runs. If a dataset is already associated with a test, you can replace the dataset at the test run time with the dataset that is created from the data fabrication feature of Test Hub. This allows you to integrate the generated test data with tests and ensures that your tests are run by using secure and realistic data. Thereby, you can enhance the effectiveness and efficiency of your testing efforts.