Mutation testing is a well-known but costly approach for determining test adequacy. The
central idea behind the approach is to generate mutants, which are small syntactic …

Mutation testing offers concrete test goals (mutants) and a rigorous test efficacy criterion, but
it is expensive due to vast numbers of mutants, many of which are neither useful nor …

Mutation Testing is an effective test criterion for finding faults and assessing the quality of a
test suite. Every test criterion requires the generation of test cases, which turns to be a …

Mutation analysis assesses a test suite's adequacy by measuring its ability to detect small
artificial faults, systematically seeded into the tested program. Mutation analysis is …

Mutants are automatically-generated, possibly faulty variants of programs. The mutation
adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identify to the …

Mutation testing of a test suite and a program provides a way to measure the quality of the
test suite. In essence, mutation testing is a form of sensitivity testing: by running mutated …

Mutation testing measures the adequacy of a test suite by seeding artificial defects
(mutations) into a program. If a test suite fails to detect a mutation, it may also fail to detect …

Mutation testing is a powerful methodology for evaluating the quality of a test suite. However,
the methodology is also very costly, as the test suite may have to be executed for each …

Mutation has been recognized to be an effective software testing technique. It is based on
the insertion of artificial faults in the system under test (SUT) by means of a set of mutation …

Mutation testing has historically been used to assess the fault-finding effectiveness of a test
suite or other verification technique. Mutation analysis, rather, entails augmenting a test suite …