RT conference output
T1 GiGAn: evolutionary mutation testing for C++ object-oriented systems
A1 Delgado Pérez, Pedro
A1 Medina Bulo, María Inmaculada
A1 Segura, Sergio
A1 García Domínguez, Antonio
A1 Domínguez Jiménez, Juan José
A2 Ingeniería Informática
K1 mutation testing
K1 evolutionary computation
K1 genetic algorithm
K1 object orientation
K1 C++
AB The reduction of the expenses of mutation testing should be based on well-studied cost reduction techniques to avoid biased results. Evolutionary Mutation Testing (EMT) aims at generating a reduced set of mutants by means of an evolutionary algorithm, which searches for potentially equivalent and difficult to kill mutants to help improve the test suite. However, there is little evidence of its applicability to other contexts beyond WS-BPEL compositions. This study explores its performance when applied to C++ object-oriented programs thanks to a newly developed system, GiGAn. The conducted experiments reveal that EMT shows stable behavior in all the case studies, where the best results are obtained when a low percentage of the mutants is generated. They also support previous studies of EMT when compared to random mutant selection, reinforcing its use for the goal of improving the fault detection capability of the test suite.
PB ACM
YR 2017
FD 2017-04
LK http://hdl.handle.net/10498/23180
UL http://hdl.handle.net/10498/23180
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026