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Using the Jira create/edit issue dialogImage Removed

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Using the Inline Edit directly on the Test issueImage Removed

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View Mode

There are two view modes (or field layouts) for the fields inside the steps:

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This mode can be used whenever users have more horizontal available space. This way, viewing or editing each step might feel more natural because it uses less vertical space and the step fields are all in the user's field of view.

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List View displays all step fields vertically inside the step. This view compromises the overview of all steps fields in a row in order to maximize horizontal space for each field. In smaller screens, especially if there is a lot of text within the fields, this view is more indicated for readability.

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Collapse/Expand Steps

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You can also collapse or expand all the steps at once. For this, Xray provides Expand and Collapse icons on the Test Steps action bar located at the top of the steps.

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Info
When selecting the Expand All or Collapse All buttons, a new preference is saved in the user profile. The next time the user enters a Test issue, the last mode (either collapsed or expanded) is applied automatically.

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If there are no steps created, the "+ Add Step" button is positioned within the empty state component. Otherwise, a dedicated "+ Add Step" button is provided on the top and bottom of the steps component so that it is easier to access depending on the user viewport. Pressing this button will create a new step placeholder component always at the end of the list, and the focus is changed for the new step.

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After filling all the desired fields press Add to save the changes or Cancel for canceling the creation of a new step.

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Hovering in-between steps will reveal the Add Step button in order to create a new step in that position. Pressing the button will open the create step component in that position.

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After filling all the desired fields press Add to save the changes or Cancel to cancel the creation of a new step.

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To delete attachments, you can just click the Bin button that appears when hovering over existing attachments. After clicking the button, you will be prompted with a confirmation message to remove the attachment or not.

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Copy to clipboard

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In order to open the Steps Dialog view, you can click on the "View/Edit in Dialog" button located at the top of the steps, or press the dedicated action button "Open in Dialog" within each step. Opening the Steps dialog from the step actions will focus the step automatically on the steps list within the dialog.

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Import Steps

Test Steps can be imported from sources such as:

Test
CSV
JSON
Clipboard

In order to import steps, press the Import button located at the top of the test steps, in the actions bar. A dropdown list with all the import options will appear:

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Choose the desired option.

From Test

This feature allows you to import existing steps from other Test issues.

After choosing the "Import From Test" option, a popup dialog will be displayed that will guide the user through the import process.

Step #1

In the first screen, the user can select(or search) an existing Test issue using the issue picker field.

Once a Test is selected, the steps from the Test will be displayed in a table below where the user can select all steps or just cherry-pick the steps that they need to import.

There is also an option to Reset the Current Steps at the bottom of the dialog. Checking this option will delete all steps that are already present in the Test when importing the new steps.

After the desired steps are selected, press Next.

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Step #2

This step will allow the user to map between the source fields (of the Test issue being imported) and the target fields (of the current Test issue).

All required fields must be mapped before proceeding to the next (and final) step in the import wizard. If any required field is not mapped, the Validate button will be disabled. Required fields are signaled with an (*).

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Search Steps

It's possible to search for steps containing a specific text using the search bar.
When text is introduced into the search bar, it will enter into an active search state and only the steps that include that text in any of its fields will be displayed. The search is case insensitive.
The steps displayed in the search results will be automatically expanded.

The results will include:

text match on active fields, except Toggle fields
text match with step attachment names

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An active search can also be identified by the search results overview, at the top of the steps list, indicating how many steps are being showed from the total of steps available.

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In an active search state, the following step actions are disabled:

Create new Step
Rerank Step
Clone Step

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An active search can be dismissed to return to the normal test steps view by clicking the "x" icon in the search bar.

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The search feature is also available in the Test Steps Dialog

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Import Steps

Test Steps can be imported from sources such as:

Test
CSV
JSON
Clipboard

In order to import steps, press the Import button located at the top of the test steps, in the actions bar. A dropdown list with all the import options will appear:

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Choose the desired option.

From Test

This feature allows you to import existing steps from other Test issues.

After choosing the "Import From Test" option

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Step #3

The third screen is the validation step. If all steps are validated, the user can proceed with the import. The validation process will verify that the field types match. If there are any validation error messages, you can just navigate back to the previous step and fix the mappings, or cancel the import.

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After pressing "Import Steps," the steps are imported into the current issue and the issue page is refreshed.

From CSV

This feature allows you to import existing steps from an external CSV file.

After choosing the "Import From CSV" option, a popup dialog will be displayed that will guide the user through the import process.

Step #1

The In the first screen allows , the user to define the following parameters:

CSV file that they want to import the steps from
CSV Delimiter: defines the delimiter that is going to be used to separate step fields.
List Value Delimiter: defines the delimiter character used to separate multi-value fields such as select lists and radio buttons.
Date Format: Defines the date format when importing date custom test step fields.
Date Time Format: Defines the date and time format when importing date custom test step fields.
Contains Header: defines if the CSV file contains the header with the field names or not
Reset Current Test Steps: defines if the user wants to override the steps already present in the Test.

Once all parameters are configured, press Next.

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Step #2

can select(or search) an existing Test issue using the issue picker field.

Once a Test is selected, the steps from the Test will be displayed in a table below where the user can select all steps or just cherry-pick the steps that they need to import.

There is also an option to Reset the Current Steps at the bottom of the dialog. Checking this option will delete all steps that are already present in the Test when importing the new steps.

After the desired steps are selected, press Next.

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Step #2

This step will allow the user to map between the source fields (of the Test issue being imported) and the target fields (of the current Test issue)In this step, you need to map the columns of the CSV file with the Test Steps fields.

Sectioninfo

widthtitle	50%	Try it

Example of CSV contained Step, Data, (Expected) Result fields, a number, and a toggle Test Step custom fields, delimited by comma. It also contains the header that should be ignored whenever importing: example_csv_cf.csv.

Step #3

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Step #3

The third screen is the validation step. If all steps are validated, the user can proceed with the import. The third screen is the validation step. If all steps are valid, the user can proceed with the import. The validation process will verify that the field types match the CSV values provided. If there are any validation error messages, you can just navigate back to the previous step and fix the mappings, or cancel the import.Image Removed

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After pressing "Import Steps," the steps are imported into the current issue , and the issue page is refreshed.

From

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CSV

This feature allows you to import existing steps from an external CSV file.

After choosing the "Import From CSV" option, a popup dialog will be displayed that will guide the user through the import process.

Step #1

The first screen allows the user to define the following parameters:

CSV file that they want to import the steps from
CSV Delimiter: defines the delimiter that is going to be used to separate step fields.
List Value Delimiter: defines the delimiter character used to separate multi-value fields such as select lists and radio buttons.
Date Format: Defines the date format when importing date custom test step fields.
Date Time Format: Defines the date and time format when importing date custom test step fields.
Contains Header: defines if the CSV file contains the header with the field names or not
Reset Current Test Steps: defines if the user wants to override the steps already present in the Test.

Once all parameters are configured, press Next.

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Step #2

In this step, you need to map the columns of the CSV file with the Test Steps fields.

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Info

title	Try it

Step #3

The third screen is the validation step. If all steps are valid, the user can proceed with the import. The validation process will verify that the field types match the CSV values provided. If there are any validation error messages, you can just navigate back to the previous step and fix the mappings, or cancel the import.

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After pressing "Import Steps" the steps are imported into the current issue, and the issue page is refreshed.

From JSON

The import from JSON dialog allows you to specify which file you want to import the steps from, the date and the date time format, and provides a checkbox if you want to override the steps already present in the Test.

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The JSON file should be an array of step objects. The objects should have the field step, the required Test Step Custom Fields, and can optionally have the fields data, expected result, and attachments. Below is an example of a valid file:

Code Block

language	text
theme	Eclipse
title	Example Json with custom fields

[
    {
  "fields": {
    "Action": "First Action",
    "Data": "First data",
    "Expected Result" : "First expected result",
    "Toggle": "true",
    "MultiSelectList": [
      "Option A",
      "Option B"
    ]
  },
    
  "attachments": [
    {
      "data": "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Code Block

language	text
theme	Eclipse
title	Example Json with custom fields

[
    {
  "fields": {
    "Action": "First Action",
    "Data": "First data",
    "Expected Result" : "First expected result",
    "Toggle": "true",
    "MultiSelectList": [
      "Option A",
      "Option B"
    ]
  },
    
  "attachments": [
    {
      "data": 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",
      "filename": "example.png",
      "contentType": "image/png"
    }
  ]
    },
    {
        "fields": {
          "Action" : "Second Action",
          "Data": "Second data",
          "Expected Result" : "Second expected result",
          "Toggle": "true",
          "filenameMultiSelectList": "example.png[
            "Option A",
      "contentType": "image/png"
      "Option B"
         } ]
  ]      }
    },
    {
        "fields": {
          "Action" : "SecondThird Action",
          "Data": "SecondThird data",
          "Expected Result" : "SecondThird expected result",
          "Toggle": "true",
          "MultiSelectList": [
            "Option A",
            "Option B"
          ]
        }
    },
    {
        "fields": {
          "Action" : "ThirdFourth Action",
          "Data": "ThirdFourth data",
          "Expected Result" : "ThirdFourth expected result",
          "Toggle": "true",
          "MultiSelectList": [
            "Option A",
            "Option B"
          ]
        }
    },
 }
]

Code Block

theme	Eclipse
title	Example Json

[
   {
        "fields": {
          "Action" : "FourthFirst Action",
          "Data": "FourthFirst data",
          "Expected Result" : "FourthFirst expected result",
      }
    "Toggle": "true",
},
      {
      "MultiSelectListfields": [{
            "Option A"Action":"Second Action",
            "Option B""Data":"Second data",
          ]
  "Expected Result":"Second expected result"
      }
    }
]

From Clipboard

The import from the clipboard allows you to copy the steps from Excel or CSV and paste them directly into Test cases in Xray.

...

Manual Test Steps can be exported to CSV by clicking the “Export > To CSV” button located above the steps.

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After clicking the action button, the following dialog will pop up.

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Hence, if you need to include the Test Steps when using the native Jira export actions for the Test issues, please include this custom field on the screen. The Manual Test Steps custom field does not present any relevant information regarding the Test Steps when it is included on the issue view. A "Printable Field" label is displayed instead, indicating that the custom field is on the screen and will provide the Tese Steps when exported to XML, Word, or Printable formats.

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For more information about exporting manual Tests in bulk, please visit Export Tests using JIRA built-in features.

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