BullseyeCoverage
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Visit| Fact | BullseyeCoverage | Coverage.py |
|---|---|---|
| Intended users | The company identifies its core market as C/C++ developers and testers working on mission critical systems, including embedded devices. | The documentation presents Coverage.py as a tool for people measuring Python test effectiveness by seeing which code tests exercise and which they miss. |
| Purpose | BullseyeCoverage measures C and C++ code coverage to help find untested code and assess testing completeness. | Coverage.py measures which parts of Python programs ran and identifies executable code that did not run, commonly to gauge test effectiveness. |
| Reports | Coverage can be viewed interactively in Coverage Browser or generated as HTML or console reports. | It can produce text, HTML, XML, LCOV, and JSON reports. |
You want what its maker publishes above — check its page for the details.
Coverage.py is for developers measuring how much of their Python code their tests exercise. Its report formats and dynamic contexts can help teams inspect coverage in different ways.