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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 ...
The condition/decision criterion does not guarantee the coverage of all conditions in the module because in many test cases, some conditions of a decision are masked by the other conditions. Using the modified condition/decision criterion, each condition must be shown to be able to act on the decision outcome by itself, everything else being ...
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.
Coverage data obtained in different instrumentation or test runs can be merged. it is possible to dump or reset coverage data remotely and without a JVM exit. does not require access to the source code and degrades gracefully with decreasing amount of debug information available in the input classes.
gcov produces a test coverage analysis of a specially instrumented program.The options -fprofile-arcs -ftest-coverage should be used to compile the program for coverage analysis (first option to record branch statistics and second to save line execution count); -fprofile-arcs should also be used to link the program. [2]
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 ]
These test cases are derived through the use of the design techniques mentioned above: control flow testing, data flow testing, branch testing, path testing, statement coverage and decision coverage as well as modified condition/decision coverage. White-box testing is the use of these techniques as guidelines to create an error-free environment ...
For example, a test with a = 1 and b = 0 would do this. The incorrect program state (the value of 'c') must propagate to the program's output and be checked by the test. These conditions are collectively called the RIP model. [8] Weak mutation testing (or weak mutation coverage) requires that only the first and second conditions are satisfied.