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In software engineering, code coverage, also called test coverage, is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high code coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected ...
Test coverage in the test plan states what requirements will be verified during what stages of the product life. Test coverage is derived from design specifications and other requirements, such as safety standards or regulatory codes, where each requirement or specification of the design ideally will have one or more corresponding means of verification.
Test coverage refers to the percentage of software requirements that are tested by black-box testing for a system or application. [7] This is in contrast with code coverage , which examines the inner workings of a program and measures the degree to which the source code of a program is executed when a test suite is run. [ 8 ]
Computing the code coverage of a test identifies code that is not tested; not covered by a test. Although this analysis identifies code that is not tested it does not determine whether tested coded is adequately tested. Code can be executed even if the tests do not actually verify correct behavior. Gcov is the GNU source code coverage program.
Branch coverage (a specific type of code coverage) is a metric of the number of branches executed under test, where "100% branch coverage" means that every branch in a program has been executed at least once under some test. Branch coverage is one of the most important metrics for software testing; software for which the branch coverage is low ...
LDRA tool suite is a proprietary software analysis tool providing static code analysis, and also provides code coverage analysis, code, quality, and design reviews. It is a commercial implementation of the software test-bed created by Hennell as part of his university research. [citation needed]
instrument classes for coverage either offline (before they are loaded) or on the fly (using an instrumenting application classloader). Supported coverage types: class, method, line, basic block. EMMA can detect when a single source code line is covered only partially. Coverage stats are aggregated at method, class, package, and "all classes ...
Thus, a combinatorial technique for picking test cases like all-pairs testing is a useful cost-benefit compromise that enables a significant reduction in the number of test cases without drastically compromising functional coverage. [5] More rigorously, if we assume that a test case has parameters given in a set {} = {,,...