Measuring system test coverage involves assessing the extent to which a system's functionality, features, or code has been tested. It helps identify untested areas and ensures that the testing process is comprehensive. There are several ways to measure test coverage, depending on the type of testing being performed.
Code coverage measures the percentage of source code that has been executed during testing. Common metrics include:
Example: If a function has 10 lines of code and 8 are executed during testing, the statement coverage is 80%.
Functional coverage evaluates how many features or functionalities of the system have been tested. It is often used in system or acceptance testing.
Example: If a system has 5 key features and tests cover 4 of them, the functional coverage is 80%.
This measures how many requirements (from a requirements document) have been tested. Each requirement is mapped to test cases, and the percentage of requirements with at least one passing test is calculated.
Example: If a system has 20 requirements and 18 have test cases that pass, the requirement coverage is 90%.
This approach prioritizes testing based on the risk of failure. High-risk areas are tested more thoroughly, and coverage is measured by the percentage of high-risk scenarios covered.
Example: If 10 high-risk scenarios exist and 8 are tested, the risk-based coverage is 80%.
For scalable and efficient testing, cloud-based solutions can be used. Tencent Cloud provides services like Cloud Test Center, which supports automated testing, performance testing, and coverage analysis. It helps teams measure and improve test coverage while leveraging cloud scalability. Additionally, Tencent Cloud's CI/CD tools can integrate with code coverage tools to provide real-time feedback on test coverage during the development pipeline.
Example: A team using Tencent Cloud's Cloud Test Center can run automated tests across multiple environments, track functional and code coverage, and generate detailed reports to identify gaps in testing.