TY  - CHAP 
AU  - Balderas Díaz, Sara
AU  - Guerrero Contreras, Gabriel José
AU  - Delgado Pérez, Pedro
AU  - Medina Bulo, María Inmaculada
A4  - Ingeniería Informática
PY  - 2025
SN  - 978-981-96-6004-9
UR  - http://hdl.handle.net/10498/37660
AB  - This study evaluates the efficacy of Predictive Mutation Testing (PMT) models, focusing on the impact of preprocessing, class rebalancing, and model selection on predictive accuracy. By filtering unreached mutants, artificially inflated metrics caused...
LA  - eng
PB  - Springer
KW  - Predictive Mutation Testing
KW  - class imbalance
KW  - machine learning
KW  - ensemble models
KW  - software testing
TI  - An Analysis of Class Imbalance Challenges in Predictive Mutation Testing
DO  - 10.1007/978-981-96-6005-6_23
ER  -