Measuring Code Coverage with DeepSource
Last updated March 5, 2024
Introduction
Code coverage is a crucial metric that helps developers understand how much of their codebase is actually being tested by automated tests. High code coverage can significantly reduce the likelihood of undetected bugs and improve software quality. DeepSource provides an intuitive way to measure code coverage, integrating seamlessly with your existing CI/CD pipeline to provide real-time insights into your testing efforts. This guide will walk you through the process of setting up and measuring code coverage using DeepSource, enabling you to make informed decisions about where to focus your testing efforts.
Step-by-Step Guide to Measuring Code Coverage
- Log Into DeepSource
- Begin by logging into your DeepSource account. Select the project for which you want to measure code coverage. If your project is not yet integrated with DeepSource, refer to our "Integrating DeepSource with Your Code Repository" guide.
- Navigate to Project Settings
- In your project dashboard, find the "Settings" tab. This section allows you to configure various aspects of your DeepSource integration, including code coverage analysis.
- Configure Code Coverage Settings
- Look for the code coverage settings or analysis configurations within the project settings. Here, you can specify how DeepSource should measure code coverage, including which branches to track and any specific directories or files to include or exclude.
- Integrate with Your CI/CD Pipeline
- DeepSource measures code coverage by analyzing reports generated by your CI/CD pipeline. Follow the instructions provided by DeepSource to integrate code coverage reporting into your pipeline. This typically involves adding a step to your CI/CD configuration that runs your test suite and generates a code coverage report, which is then uploaded to DeepSource.
- Run Your Tests
- Trigger a build in your CI/CD pipeline that includes the test suite execution and code coverage report generation. This can be done by making a commit, creating a pull request, or manually triggering a build, depending on your workflow.
- View Code Coverage Report
- Once the build completes and the code coverage report is uploaded, navigate back to your project dashboard on DeepSource. You should now see a code coverage report that includes metrics such as line coverage, branch coverage, and more.
- Analyze Coverage Insights
- DeepSource provides detailed insights into your code coverage, highlighting areas of your codebase that are well-tested and those that may need more comprehensive testing. Use this information to identify gaps in your test coverage and prioritize areas for improvement.
- Iterate and Improve
- Code coverage is an ongoing process. Continue to monitor your code coverage metrics over time, adding new tests and refining existing ones to improve coverage. Regularly review the insights provided by DeepSource to ensure your testing efforts are effectively enhancing your codebase's quality and reliability.
Conclusion
Measuring code coverage with DeepSource is a straightforward process that yields valuable insights into the effectiveness of your testing strategy. By integrating code coverage analysis into your development workflow, you can ensure that your tests are comprehensive and that your codebase remains robust and bug-free. DeepSource makes it easy to track code coverage over time, helping you maintain high standards of software quality.