FrMi: Fault-revealing Mutant Identification using Killability Severity

A feature representing the difficulty of killing a mutant is added as a new feature to complement the state-of-the-art feature set. Then a method is proposed that uses this feature for fault-revealing mutants’ prediction. According to our experimental results, the proposed method outperforms the state-of-the-art method in terms of the Area Under Curve value on the Codeflaws and CoRBench data sets by 7.09% and 8.97%, respectively.