Analyze application area quality

Use the aggregated data from your application modules to analyze product quality across application modules.

Analyze specific application area quality

View quality for each of your application modules. Assign items to application modules to analyze product quality across releases. From the associated items, ALM Octane aggregates the data in different quality analysis graphs.

To view graphs of application-specific quality:

  1. In the application module tree, select the relevant node.

  2. Click Overview.

  3. Add relevant graphs, including:

    • Open defects by application module

    • Run status by application module

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Identify application modules affected by recent development

Even after you release your application, track quality while you continue development. ALM Octane helps you find application modules affected by recent activity.

To find application modules affected by recent work:

  • Commits by application module dashboard widget.

    Shows how many changes committed in your SCM system during a certain time frame are associated with each application module.

    Note: To use this widget, you must assign user stories and defects to application modules. ALM Octane connects commits to application modules by reading the user story or defect name in a commit's message.

  • Application Modules widget in the Pipelines module (pipeline overview and Failure Analysis tab in a pipeline run).

    Lists the application modules currently associated with automated tests that failed in this pipeline run. The widget shows how many of the tests assigned to the application module failed.

    Note: To use this widget, automated tests must be assigned to application modules. For details on assigning items to application modules, see Work with application modules.

  • Application modules column in a pipeline run's Failure Analysis tab.

    Add the column to the grid of failed test runs to see which application module is affected by each failure. See also Analyze failures in a pipeline run.

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