CT Enhancement- Assure v25.2.0
Avo teams brings the release of CT enhancement. With this, user can improve the user experience by using latest features.
Please note that individual pages for these enhancements are still in progress. Once completed, we will notify you. Thank you for your patience.
Key Enhancement
Zephyr scale
With the new enhancement, integration and login with the Data Center version are also supported.
Jira
Taking the mandatory fields required to create a bug and storing them in the database for use during automatic bug logging.
Zephyr scale
In the Data Center version, when Avo Assure Test Case is mapped to a Zephyr Scale Test Case, it can also be linked to a Jira user story, with the story details stored for future defect logging.
Zephyr scale
A test cycle can be pulled from Zephyr Scale and selected for mapping.
A test case can be created in Zephyr Scale directly from Avo Assure, and the created test case will have the same name as the one in Avo Assure.
A toggle button is available to automatically create a defect when a test step fails; alternatively, defects can also be created manually.
The auto defect configuration toggle button can be enabled while creating the execution list to automatically log a bug for any failed test step.
Mapped test cases can be searched by Test Case ID or Test Case name in the View Mapping tab.
During mapping, the Zephyr Scale Test Case ID will be displayed alongside the Test Case name.
Limitations will be set, then lazy loading will going to reduce
User can now be able to search Folder names for Avo Assure and Zephyr Scale folder names. Once searched folder, then only that folder will be highlighted
Jira
Automatically logged defects will be displayed in Jira reports and in Avo Assure reports with the defect ID
Jira
With the new enhancement, defects can now be logged manually in the Data Center version as well.
Zephyr scale
After execution, the updated status and the time taken for the execution can be viewed in Zephyr Scale. If any test step fails, the linked defect associated with the failure will also be displayed.
Once the execution is complete and a bug is created automatically, the linked User Story details can be viewed in the created bug in Jira
Test cases can be differentiated by their unique IDs, even if the test case names are similar.
User will get the status of re-run result and previous data won't be over written. new records will be generated for every execution
Zephyr scale
Mapped test cases can now be exported and imported in CSV file format.
In the Data Center version, screenshots will be attached to Zephyr Scale execution reports for the first failed test step.
While mapping, a Zephyr Scale test case can be created from Assure, and it will also be reflected in Zephyr Scale.
Bitbucket
With this enhancement, Execution tab and data Table can be integrated along with Element Repository and Test Case
User will get the option to globally push and pull Test Case, Element Repository, Execution Profile and Data Table by clicking bitbucket icon
Bitbucket
Multiple users can integrate Bitbucket with their own credentials for the same project.
While selecting branches, a list of branches associated with Bitbucket will be displayed, and branches can also be searched from the list.
A commit message can be provided while committing any changes.
Files, including Excel sheets associated with the test case, can now be uploaded.
In the new enhancement, users will be able to select items such as the Element Repository, Test Case, execution profile, or data table of their choice for pushing.
The Element Repository and Data Table associated with the test case can also be pushed by selecting the checkbox.
User will be able to view changes that are made while pushing
User will be able to provide message while pushing any items like Element Repository, Test Case, Execution Profile or Data Table
User will be able to push associated Test data and Element Repository with Test Case
While pushing any changes, user can send it for review to Quality Manager or Quality Lead who is also part of that project
Bitbucket
Multiple users can integrate the bitbucket with their credentials for same project
While selecting branches, user will get the list of branches which are associated with Bitbucket and user can also search the branch from the list
While selecting branches, user will get the list of branches which are associated with Bitbucket and user can also search the branch from the list
User will be able to select a version to pull and will be asked to select the option to Override or to create new folder to restore. Restore will override the existing data.
When pulling items from Bitbucket, user will be able to override the existing Element Repository, Test Case, Execution Profile or Data Table
When pulling items from Bitbucket, user can create a same copy in the same folder
User will be able to create and pull folder and if Test Case from that folder includes any excel sheet then that excel sheet will be downloaded to the mentioned path in get param action of the Test Step
Bitbucket
User will be able to commit the changes to their local branch
User can send the version to Quality Manger or Quality Lead to review and commit it to Bitbucket
Reviewer can approve the review request and commit it to Bitbucket
After receiving a review request, the manager can reject the item from being committed and add a comment explaining the reason for the rejection.
Users can select a branch and version to compare Avo Test Cases, Element Repository, and Execution Profile against specific branches and versions in Bitbucket.
User can also compare associated Element Repository while comparing any Test Case
User will get the separate menu item for compare and they can compare anytime before pull or push
User will be able to view all the commit history of the items by selecting version history option from the context menu after clicking on ... icon from tabs
Multiple reviewers can be added for any push request
Gen rocket
With this enhancement, Avo Assure can be integrated with Gen rocket to generate synthetic data efficiently.
By creating Data Table and integrating it with Avo Assure, user can fetch and generate synthetic data for the execution
Gen rocket
In the execution configuration, the "Refresh Test Data Generation" toggle button can be enabled to generate new data for each execution.
User can also set limitation to iterate the test data for specific number of time
Harness
Assure test cases can be executed through Harness pipelines for CI/CT. For this, the code snippet for the cloud environment is copied and pasted wherever the image is pulled or a pipeline is created.
We hope these changes in Avo Assure version will enhance your experience with the platform
Last updated
Was this helpful?