Code and test traceability means tracking every piece of code and its corresponding tests from the moment they are written until the code is deployed. This tracking creates a clear path that shows who made changes, why those changes were made, what bugs they fix, and whether the tests pass. When traceability works properly, teams can answer questions like "which code change caused this bug?" or "what tests cover this feature?" without guessing. Azure provides three main tools that work together to make this possible: Azure Repos, Azure Boards, and Azure Pipelines.
Azure Repos
Azure Repos is where code is stored and managed. To ensure traceability, teams set up branch policies that enforce rules before code can be merged into the main branch. One important policy requires each commit to be linked to a work item such as a task or bug report. This linking creates a direct connection between the code change and the reason for the change. Pull requests must also be reviewed and validated before merging, which adds another layer of quality control and accountability.
Azure Boards
Azure Boards is the work tracking system where teams manage bugs, tasks, and features. It connects directly with Azure Repos, so when code is committed or a pull request is created, the related work item automatically updates. This integration gives teams a unified view where they can see all code changes, pull requests, and work items in one place. For example, when a developer fixes a bug in code, the linked bug item in Azure Boards can automatically move to a "done" status without manual updates.
Azure Pipelines
Azure Pipelines handles the building, testing, and deployment of code through continuous integration and continuous deployment (CI/CD). When code passes through the pipeline, test results and code coverage data are published and linked back to the specific commits and work items that triggered the build. This correlation means teams can see exactly which tests passed or failed for each code change and how much of the code is actually being tested. The pipeline combines all this information into quality reports that show whether the code meets the required standards before it reaches production.
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