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Code coverage measures which parts of a program run when tests execute. “Test coverage” may mean the same thing, or it may refer more broadly to whether requirements or other defined testing targets have been covered. Because the term is used differently across sources and tools, check the metric and its definition before interpreting or comparing a percentage.
What code coverage measures
Code coverage is an analysis of which parts of software were executed by a test suite and which were not. The ISTQB Glossary gives statement, decision and condition coverage as examples. A coverage report can help reveal code that tests never reach; by itself, it does not tell you whether the tests check the right outcomes.
Statement or line coverage
Statement coverage asks whether executable statements ran. Some reports describe a related measure as line coverage, but a line and an executable statement are not necessarily interchangeable: a line may contain multiple statements, or contain no executable code. Check the reporting tool’s definition rather than assuming all “line” or “statement” percentages count the same units.
Branch or decision coverage
Branch coverage asks whether the possible outcomes of a decision point have been exercised. For example, a test might run an if statement only when its condition is true. That can count as executing the statement while leaving the false outcome untested. Branch coverage can expose that gap.
The ISTQB Glossary states that 100% branch coverage implies 100% decision and statement coverage. That implication does not establish the reverse: 100% statement coverage alone does not show that every branch was taken.
Condition coverage and other counters
Condition coverage concerns the individual conditions used in decisions. Tools may also report functions, complexity or lower-level instruction counts. Those figures describe different coverage criteria; they should not be treated as interchangeable versions of one universal score.
What “test coverage” means
There is no single usage that applies everywhere. Google Testing Blog’s 2008 discussion uses “test coverage” and “code coverage” as equivalent terms. In broader testing terminology, coverage can instead describe whether specified requirements or other coverage items have been exercised. In a report, documentation or team discussion, identify the target being covered: code execution, requirements, features, or another defined set of items.
Why a high coverage percentage is not proof of good tests
A test can execute code without meaningfully checking what it does. For instance, it may call a function but make no assertion about the returned value or resulting state. Coverage indicates execution under the tests that ran; it does not establish that assertions are adequate, that important inputs and outcomes were chosen, or that the software behaves correctly.
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Use the report to find unexecuted areas and ask what risks those areas present. Then review whether tests check expected behavior, including relevant decision outcomes and edge cases. A high score can coexist with weak checks, while an uncovered section may be intentionally excluded or may deserve a new test. The percentage alone cannot settle either question.
How to compare coverage reports fairly
- Match the metric. Confirm whether the percentages count lines, statements, branches, conditions, functions or instructions.
- Match the measured scope. Check which source files, generated code, modules and tests are included or excluded.
- Understand the tool and runtime. Compiler output, source mapping and tool-specific rules can affect what is counted.
- Read the counter limitations. JaCoCo, for example, counts Java bytecode instructions and reports branches for
ifandswitch; its branch counter does not include exception handling. Source mapping can depend on debug information. - Inspect test quality separately. Determine whether tests verify meaningful behavior, rather than merely causing code to execute.
JaCoCo’s documentation is a concrete reminder that even a familiar label such as branch coverage has implementation-specific boundaries. Compare the metric, tool, runtime and included code before comparing percentages between projects or reports.
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Where ScreenshotNeo fits—and where it does not
ScreenshotNeo is a website screenshot API and MCP server for developers, not a code-coverage tool. It does not measure statement, branch, requirement or test coverage, so it should not be used to produce or compare the coverage figures discussed here.
If your separate task is capturing website screenshots, ScreenshotNeo accepts a URL in a GET request and returns an image or PDF. Its documentation is at https://screenshotneo.com/docs/.
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