Code Coverage ᧓ Pros and Cons
퇽회 Definition
Code Coverage is a metric that measures how much of the source code is executed during testing. It helps evaluate the effectiveness of test cases.
Pros of Code Coverage
1. Identifies Untested Code
- Highlights parts of code not covered by tests
- Helps improve test completeness
2. Improves Code Quality
- Encourages writing more test cases
- Leads to fewer bugs in production
3. Better Reliability
- Higher coverage increases confidence in the system
- Reduces chances of unexpected failures
4. Supports Refactoring
- Safe to modify code when good test coverage exists
5. Useful for CI/CD
- Helps monitor testing performance in pipelines
- Can be integrated with tools like SonarQube
ℌ Cons of Code Coverage
1. Misleading Metric
- High coverage does not guarantee bug-free code
- Tests may not check correct behavior
2. Focus on Quantity over Quality
- Developers may write unnecessary tests just to increase coverage
3. Time-Consuming
- Writing and maintaining tests requires effort
4. Does Not Cover All Scenarios
- Edge cases and real-world conditions may still be missed
5. Increased Maintenance
- Tests must be updated whenever code changes
퇽훹 Types of Code Coverage
- Line Coverage ᧓ Lines executed
- Branch Coverage ᧓ Decision paths tested
- Function Coverage ᧓ Functions executed