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 …

Due to the expensiveness of compiling and executing a large number of mutants, it is
usually necessary to select a subset of mutants to substitute the whole set of generated …

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 analysis is a powerful and unbiased technique to assess the quality of input values
and test oracles. However, its application domain is still limited due to the fact that it is a time …

Mutation analysis is considered the best method for measuring the adequacy of test suites.
However, the number of test runs required for a full mutation analysis grows faster than …

Mutation analysis generates tests that distinguish variations, or mutants, of an artifact from
the original. Mutation analysis is widely considered to be a powerful approach to testing, and …

Software testing plays an important role in ensuring software quality by running a program
with test suites. Mutation testing is designed to evaluate whether a test suite is adequate in …

Mutation testing has traditionally been used to evaluate the effectiveness of test suites and
provide confidence in the testing process. Mutation testing involves the creation of many …

Mutation score has long been used in research as a metric to measure the effectiveness of
testing strategies. This paper presents evidence that mutation score lacks the desired …