Welcome
Test Author Guide
This guide describes how to create test assets in HCL OneTest™ Server and publish test assets to the Git repository that you have configured. You can also edit existing test assets that are in the repository added to your project. This guide is intended for testers and test managers.
Datasets overview
A dataset provides tests with variable data during a run. The test that uses a dataset at run time replaces a value in the recorded test with variable test data that is stored in the dataset.
Editing a dataset
You can add, modify, remove, import, or export data from a dataset by using the CSV Editor. The working principle of the CSV Editor is similar to that of a spreadsheet.
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.
Decrypting a dataset column
To view the content of an encrypted dataset, you can decrypt the dataset column. Removing encryption from a dataset revokes the protection offered to the test data.

Release Notes
This document includes information about What’s new, installation and upgrade instructions, known issues, and contact information of HCL Customer Support.
System Requirements
This document includes information about hardware and software requirements for HCL OneTest™ Server.
Getting Started Guide
This guide provides an overview of HCL OneTest™ Server. You can find the task flows to get you started with HCL OneTest Server. This guide is intended for new users.
Administrator Guide
This guide describes how to install the HCL OneTest™ Server software.
Test Author Guide
This guide describes how to create test assets in HCL OneTest™ Server and publish test assets to the Git repository that you have configured. You can also edit existing test assets that are in the repository added to your project. This guide is intended for testers and test managers.
- Edit branch overview
  When you want to create or modify any test assets in HCL OneTest™ Server, you must use an Edit branch.
- Test authoring
  You can use HCL OneTest™ Server to author tests instead of creating the tests by using the desktop products.
- Datasets overview
  A dataset provides tests with variable data during a run. The test that uses a dataset at run time replaces a value in the recorded test with variable test data that is stored in the dataset.
  - 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 a CSV files contains a large amount of data, you can use such CSV fie to create a dataset in HCL OneTest™ Server.
  - Creating a dataset by using data fabrication
    When you create a schema to generate different types of data by using data fabrication, you can use that schema to create a dataset in HCL OneTest™ Server.
  - Editing a dataset
    You can add, modify, remove, import, or export data from a dataset by using the CSV Editor. The working principle of the CSV Editor is similar to that of a spreadsheet.
    - 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.
      - Encrypting a dataset column
        To secure test data, you must encrypt datasets. You can encrypt data in the columns of a dataset by using an encryption key. When you run a test that utilizes a dataset with encrypted variables, you must enter the encryption key for the encrypted column that the test uses.
      - Decrypting a dataset column
        To view the content of an encrypted dataset, you can decrypt the dataset column. Removing encryption from a dataset revokes the protection offered to the test data.
  - Publishing a dataset
    After you create or edit any datasets in HCL OneTest™ Server, you can publish your changes to a remote Git repository. Therefore, 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 drop-down list and changes made to the datasets are merged into the previously selected branch name.
  - Viewing a dataset
    When test assets includes 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.
- Generation of test data
  To test an application, you use data that is passed to get real-time results. Since creating test data manually is time-consuming, you can use HCL® OneTest™ Data, an automated tool to generate random test data. You can generate the test data in various file formats.
Test Execution Specialist Guide
This guide describes tasks that you must complete before you can configure and run tests in HCL OneTest™ Server. 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.
Reference Guide
This guide describes conceptual information about data design environment components when you want to use the data fabrication feature in HCL OneTest™ Server.
Troubleshooting
This guide describes how to analyze and resolve some of the common problems that you might encounter while you work with HCL OneTest™ Server.
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 OneTest™ Server 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.
Notices
This document provides information about copyright, trademarks, terms and conditions for the product documentation.

Decrypting a dataset column

To view the content of an encrypted dataset, you can decrypt the dataset column. Removing encryption from a dataset revokes the protection offered to the test data.

Before you begin

You must have created at least one dataset and encrypted the dataset with an encryption key. See Creating a dataset and Encrypting a dataset column.

Procedure

Log in to HCL OneTest™ Server if you are not already logged in.
Open a project from the team space.
Go to Author > Datasets, and then select the Branch from the list to find the dataset that you want to decrypt.
Click the Edit icon from the Actions column of the dataset.
Based on the Branch that you selected, the following events occur:
- The Edit Branch window is displayed if you selected other than the edit branch.
- The dataset opens in the CSV Editor in a web browser if you selected the edit branch.

Perform one of the steps described in the following table to select or create the edit branch:

Step description	Step no
To select the edit branch	Perform 5.a
To create the edit branch	Perform 5.b

Perform the following steps to select the edit branch:
1. Choose the edit branch from the Select branch drop-down list if the edit branches are already existing.
2. Click Ok.
Perform the following steps to create the edit branch:
1. Select Create new branch.
2. Provide a name for the edit branch.
3. Click Save.

Right-click encrypted cells that display the contents with asterisks, and then select Decrypt column data.
The Decrypt Column window is displayed.
Enter the encryption key that you used to encrypt the data in the column in the Encryption Key field.
Click Decrypt Column.
Asterisks are replaced with the actual data in the decrypted column.

Results

The encryption is removed from the selected column in the dataset. When you run a test that uses a dataset that contains decrypted data, the variable data is substituted for the original data in the recorded test without prompting for the encryption.

What to do next

You can publish the dataset to the Git repository so that other members of the project can use the dataset. See Publishing a dataset.