Test Coverage Metrics
There are many different ways to measure test coverage, but some common metrics include:
- Lines of code covered: This metric simply measures the number of lines of code that are covered by tests. This is a good starting point, but it doesn’t give the whole picture, since some lines of code are more important than others.
- Blocks covered: This metric measures the number of blocks of code (e.g., if-statements, for-loops, etc.) that are covered by tests. This is a more granular metric than lines of code, but it still doesn’t give the whole picture.
- Functions/methods covered: This metric measures the number of functions or methods that are covered by tests. This is a more granular metric than blocks, but it still doesn’t give the whole picture.
- Statements covered: This metric measures the number of statements that are covered by tests. This is the most granular metric, but it still doesn’t give the whole picture.
- Conditions covered: This metric measures the number of conditions (e.g., if-statements, boolean expressions, etc.) that are covered by tests.
Test Design Coverage in Software Testing
Test coverage is the degree to which a test or set of tests exercises a particular program or system. The more code that is covered by a test, the more confidence developers have that the code is free of bugs. Measuring test coverage can be difficult because it is often hard to determine what percentage of the code is actually being executed by a test. In general, however, the more code that is covered by a test, the better.
There are many different types of test coverage, but in general, test coverage is a measure of how much of the code or functionality of a system is being tested by a particular set of tests. For example, if a set of tests only covers 50% of the code, then it has 50% coverage. There are many different ways to measure test coverage, and the level of coverage that is considered acceptable varies from organization to organization. In some cases, 100% test coverage may be required, while in others, 80% may be considered adequate.
One way to think of test coverage is as a spectrum, with lower levels of coverage being less effective and higher levels being more effective. However, it is important to remember that no single level of coverage is right for all situations, and the level of coverage that is appropriate will depend on the specific system under test and the risks involved.