Definition of Code Coverage
Which statement best describes code coverage in software testing?
- Code coverage measures the percentage of source code executed during testing.
- Code coverage counts the total number of test cases created.
- Code coverage refers to the number of developers writing code.
- Code coverage is the process of fixing software bugs.
- Code coverage calculates the runtime of a test suite.
Purpose of Code Coverage
What is one main purpose of using code coverage metrics in test automation?
- To ensure that most parts of the code are exercised by tests.
- To track code compilation errors.
- To generate user documentation.
- To speed up the deployment process.
- To estimate the popularity of a software application.
Types of Code Coverage
If a team is interested in knowing which individual lines in a program were tested, what type of code coverage are they likely using?
- Line coverage
- Function coversage
- Class coverage
- Path converage
- Object covergage
Benefits for Code Quality
How does code coverage help improve the overall quality of software?
- By highlighting untested and potentially risky areas in the codebase.
- By automatically removing unused code.
- By rewriting code to be more efficient.
- By managing the software release schedule.
- By generating user interface designs.
Interpreting Coverage Results
If a project shows 75% code coverage, what does this number indicate?
- Tests have executed 75% of the code statements.
- The tests will always pass with 75% probability.
- 75% of the tests failed.
- Only 75% of code is written.
- The code runs 75% faster than before.
Limitations of High Coverage
Why does achieving 100% code coverage not necessarily mean the code is free of bugs?
- Code can still have logic errors not caught by existing tests.
- All code at 100% coverage is always correct.
- Tests with 100% coverage never need updating.
- It means no more code changes are required.
- High coverage removes the need for human review.
Branch Coverage Purpose
When is branch coverage particularly helpful in testing software?
- When ensuring every possible decision path, like if/else statements, is tested.
- When counting the number of source files in the project.
- When documenting all the functions in code.
- When optimizing database queries.
- When rewriting code into another programming language.
Code Coverage and Testing Gaps
A module with low code coverage is likely to indicate what about its tests?
- Some important code paths have not been tested.
- All bugs in that module are fixed.
- It contains only comment lines.
- It has more developers assigned to it.
- It is automatically documented.
Comparing Coverage Metrics
Which of the following code coverage metrics specifically measures whether every possible outcome of a decision in the code has been tested?
- Branch coverage
- Object coverage
- Lint coverege
- Class converage
- Syntax coverege
Best Practices for Code Coverage
What is generally recommended after analyzing your code coverage report?
- Add additional tests to cover gaps identified in the report.
- Delete all existing tests and start over.
- Ignore uncovered code as it is unimportant.
- Increase the number of comments in the code.
- Upload the report to an unrelated project.