Mutant reduction based on dominance relation for weak mutation testing

Context: As a fault-based testing technique, mutation testing is effective at evaluating the quality of existing test suites. However, a large number of mutants result in the high computational cost in mutation testing. As a result, mutant reduction is of great importance to improve the efficiency of mutation testing. Objective: We aim to reduce mutants for weak mutation testing based on the dominance relation between mutant branches. Method: In our method, a new program is formed by inserting mutant branches into the original program. By analyzing the dominance relation between mutant branches in the new program, the non-dominated one is obtained, and the mutant corresponding to the non-dominated mutant branch is the mutant after reduction. Results: The proposed method is applied to test ten benchmark programs and six classes from open-source projects. The experimental results show that our method reduces over 80% mutants on average, which greatly improves the efficiency of mutation testing. Conclusion: We conclude that dominance relation between mutant branches is very important and useful in reducing mutants for mutation testing

Mapeo sistemático y estudio de caso sobre técnicas de generación automática de pruebas

Incluye bibliografía.El trabajo tiene como objetivo explorar la generación automática de casos de prueba a través de la identificación de las técnicas y sus problemas e investigar su utilidad práctica. Se realizó un mapeo sistemático de la literatura, extendiendo dos trabajos relacionados a la tesis para conocer las técnicas y los problemas investigados. A partir de este mapeo se realizó un estudio de caso con herramientas de generación para evaluar su eficacia con respecto a la detección de defectos