Defect Detection on CodeXGLUE Defect Detection (test)
3.92# IdentifiersRNNS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RNNSTarget Model=CodeBERT2025.03 | 3.92 | 32.45 | 86.85 | |
| ALERTTarget Model=CodeBERT2025.03 | 3.01 | 25.42 | 81.59 | |
| ALERTTarget Model=CodeT5+2025.03 | 2.95 | 23.68 | 82.91 | |
| RNNSTarget Model=CodeT5+2025.03 | 2.76 | 23.53 | 87.74 | |
| MHMTarget Model=CodeT5+2025.03 | 2.75 | 19.45 | 84.18 | |
| MHMTarget Model=CodeBERT2025.03 | 2.74 | 20.54 | 84.67 | |
| WIR-RandomTarget Model=CodeBERT2025.03 | 2.64 | 21.99 | 85.05 | |
| ALERTTarget Model=GraphCodeBERT2025.03 | 2.62 | 20.04 | 84.35 | |
| RNNSTarget Model=GraphCodeBERT2025.03 | 2.6 | 22.43 | 88.01 | |
| MHMTarget Model=GraphCodeBERT2025.03 | 2.59 | 17.88 | 86.05 | |
| WIR-RandomTarget Model=CodeT5+2025.03 | 2.4 | 18.39 | 86.18 | |
| WIR-RandomTarget Model=GraphCodeBERT2025.03 | 2.22 | 17.22 | 86.91 | |
| GCGSTarget Model=CodeBERT2025.03 | 2 | 9.96 | 92.83 | |
| GCGSTarget Model=GraphCodeBERT2025.03 | 1.94 | 11.51 | 91.61 | |
| GCGSTarget Model=CodeT5+2025.03 | 1.57 | 7.48 | 94.37 | |
| GCGS+WTarget Model=CodeBERT2025.03 | 1.49 | 5.94 | 95.62 | |
| GCGS+WTarget Model=GraphCodeBERT2025.03 | 1.45 | 7.83 | 94.13 | |
| GCGS+WTarget Model=CodeT5+2025.03 | 1.05 | 2.61 | 97.93 |