A new deep-metric-learning loss (Cluster Purge Loss) combined with cross-entropy improves equivalent-mutant detection F1 by 2.24 pp on a Java benchmark and by 1.64 pp on a C benchmark over a UniXCoder baseline.
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Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
A new deep-metric-learning loss (Cluster Purge Loss) combined with cross-entropy improves equivalent-mutant detection F1 by 2.24 pp on a Java benchmark and by 1.64 pp on a C benchmark over a UniXCoder baseline.