METRICS AND ANALYSIS SOLUTION
Code coverage
Assess the quality of your code with test coverage and test execution reports by telling you what percentage of your code is covered by your test cases. SonarQube Server acts as a central hub that integrates with popular code coverage tools. It consolidates coverage reports with static code analysis results, giving you clear pass/fail metrics to ensure your code meets quality standards efficiently.
In order to include code coverage results in your analysis, you must set up a third-party coverage tool and configure SonarQube Server to import the results produced by that tool. Sonar integrates with multiple code coverage tools.
Thoroughly testing your code is key to maintaining its quality and reliability. It ensures that any functional issues such as bugs and vulnerabilities, are quickly identified, allowing you to make updates with confidence.
Higher code coverage means more of your code is being tested, helping identify bugs earlier in the development process. This leads to improved code maintainability and reliability.
Sonar supports code coverage for the following languages:
Assess the overall health of your code by importing your code coverage test results into the SonarQube Server and SonarQube Cloud solutions in over 30 programming languages.
A well-tested codebase with high coverage gives developers confidence, minimizing the risk of introducing new bugs in production.
Enables early identification of bugs during the development process, reducing the likelihood of issues in production.
Provides clear pass/fail metrics for code coverage, allowing teams to assess their testing effectiveness easily.
Sonar solutions offer granular code coverage reports that pinpoint untested sections of your code and recommend improvements.
Code coverage metrics assist with measuring test effectiveness allowing improved code quality and reliability.
Developers can prioritize tests when they are most needed by focusing on areas with low code coverage, saving time from manual code reviews.
By working with code coverage reports, developers are able to view and write more complete tests, leading to better coding practices.
Seamlessly integrate with popular build pipelines (Gitlab, Jenkins) enabling automatic analysis and reporting of code coverage in the software development workflow.
You can have as many users as you need for any license. Perfect for enterprise teams of any size that need to analyze code.
You can have as many projects as you need to analyze with no set limit. This is ideal for organizations that need to analyze code from multiple projects or teams within an organization.
This means that you can scan your code as often as you need to without any limit cap. This is essential for organizations that need to monitor the quality of their code continuously.
Sonar succeeds at supporting code coverage within your DevOps, CI/CD, and IDE workflows.
Sonar tightly integrates with the most popular DevOps platforms, such as GitLab, Jenkins, and Azure DevOps, allowing you to collect code coverage data during your build phases.
"Sonar helps our development team confidently make both AI-assisted and human-developed code fit for production by reviewing and establishing rules of good programming practices to achieve better code and avoid typical errors. It also assists us in gauging the code coverage for each project, allowing us to identify areas that still require testing."
Dario Flores, Technical Quality Specialist
Dario Flores, Technical Quality Specialist
"Sonar helps our development team confidently make both AI-assisted and human-developed code fit for production by reviewing and establishing rules of good programming practices to achieve better code and avoid typical errors. It also assists us in gauging the code coverage for each project, allowing us to identify areas that still require testing."
Calculate and store code coverage metrics (line, condition, new code) based on data generated by external, third-party tools on-premise. Receive detailed reports that visualize coverage percentages and identify areas with low coverage. Use quality gates to define minimum code coverage thresholds.
Calculate and store code coverage metrics (line, condition, new code) based on data generated by external, third-party tools hosted in the cloud. Receive detailed reports that visualize coverage percentages and identify areas with low coverage. Use quality gates to define minimum code coverage thresholds.
