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Working Across Team Projects as a Project Member

As a member of a team project, you may have the opportunity to work on more than one team project at a time. If so, you may be performing the same role (for example, developer or tester) on each team project, or you may be performing different roles (for example, developer on one team project and tester on another) on each one. Team Foundation Server has several tools to help you monitor and perform your work across multiple team projects.

NoteNote:

You can work across only the team projects stored on the same Team Foundation Server server. Team Explorer connects to only one Team Foundation Server server at a time and does not allow you to view multiple Team Foundation servers at the same time.

If you are working on multiple team projects, you may want to easily view all the work items assigned to you across all your team projects. You can create a work item query that uses the @Me parameter to return a results set of all work items assigned to you across all team projects on the same Team Foundation Server. For more information about the @Me parameter, see Working With Work Item Queries. For more information about creating cross-project queries for your work items, see How to: Find and Edit Work Items Assigned to You.

As you work on multiple team projects, you may want to create a central location for finding the work item queries, documents, reports, or build types you use most frequently. You can create shortcuts to all the team project items of interest within each team project and then store all the shortcuts in the My Favorites node in Team Explorer. For more information on using the My Favorites node, see Managing Team Explorer Favorites.

If you are interested in information about your code coverage, test results, or build status across team projects, you may want to create either ad-hoc or periodic custom reports that address your specific issues. For more information about the data in the data warehouse that is available for reporting, see Understanding the Structure of the Data Warehouse Cube.

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