Mutation analysis modifies a program by applying syntactic rules, called mutation operators, systematically to create many versions of the program (mutants) that differ in small ways. Testers then design tests to cause ...

Mutation analysis modifies a program by applying syntactic rules, called mutation operators, systematically to create many versions of the program (mutants) that differ in small ways. Testers then design tests to cause ...

Mutation Testing is a well-established technique for assessing the quality of test cases by checking how well they detect faults injected into a software artefact (mutant). Using this technique, the most critical activity ...

Mutation Testing is a well-established technique for assessing the quality of test cases by checking how well they detect faults injected into a software artefact (mutant). Using this technique, the most critical activity ...

This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms. The shape of the q-Gaussian mutation distribution is controlled by a real ...

To guarantee the quality of the software, static and dynamic analysis techniques can be used. Both have advantages and disadvantages and should be used together to improve the quality of the results obtained. In this work, ...

Although mutation testing is a well-known technique for assessing the quality of tests, there is not a lot of support available for model-level mutation analysis. It is also considered to be expensive due to: (i) the large ...

Although mutation testing is a well-known technique for assessing the quality of tests, there is not a lot of support available for model-level mutation analysis. It is also considered to be expensive due to: (i) the large ...

The growth in the volume of data generated in the last years, a phenomenon known as Big Data, presented a series of challenges for its collection, storage and, especially, processing because they require important ...