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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.
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.

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.
  - 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.

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.

Before you begin

You must have created, edited, or deleted dataset assets in HCL OneTest™ Server.

About this task

When you create or edit multiple datasets, the Changes page lists all datasets in the corresponding Edit branches. When you have many datasets listed on the Changes page, you cannot publish or discard a single dataset. You must either publish all datasets or discard all changes made to datasets. If you do not modify any datasets, the Changes page displays a message that indicates there are no changes in any of the datasets.

The Changes page also provides you with information about the number of commits that the Edit branch is ahead and behind. You can click the (n) commits ahead option, and then click Reset to revert your changes. Similarly, you can also click the (n) commits behind option, and then click Merge to merge the changes of other member into the Edit branch.

You can publish the dataset to the remote Git repository either from the Changes page or from the CSV Editor. When you modify the dataset and publish it to the Git repository, the other members who have access to that dataset can view the updated dataset.

You can click the Menu icon menu_icon to perform the following actions from the Changes page:

Options	Actions
Edit	Click Edit to make any updates to the dataset before publishing.
Discard	Click Discard to remove the changes that you made to the dataset asset.
Save As	Click Save As to save a copy of the dataset.

Procedure

Log in to HCL OneTest™ Server if you are not already logged in.
Open a project from the team space.
Go to Author > Changes.
Click Publish changes.
Enter a description for the changes made to the dataset, and then click Publish.
A notification is displayed for successful pushing of changes to the Git repository.

Results

You have published the modified dataset into the Git repository.