Vulnerability Prediction on Software Engineering (SE)
0.65Spearman rhoMESA
Evaluation Results
| Method | Links | |
|---|---|---|
| MESAModel=Qwen-27B, MESA Variant=Combined2026.06 | 0.65 | |
| MESAModel=Llama-8B, MESA Variant=Combined2026.06 | 0.61 | |
| MESAModel=Llama-8B, MESA Variant=Static2026.06 | 0.6 | |
| MESAModel=Qwen-27B, MESA Variant=Static2026.06 | 0.6 | |
| MESAModel=Gemma-26B, MESA Variant=Combined2026.06 | 0.58 | |
| MESAModel=Qwen-9B, MESA Variant=Static2026.06 | 0.54 | |
| MESAModel=Qwen-9B, MESA Variant=Combined2026.06 | 0.54 | |
| MESAModel=Gemma-E4B, MESA Variant=Static2026.06 | 0.52 | |
| MESAModel=Gemma-26B, MESA Variant=Static2026.06 | 0.46 | |
| MESAModel=Gemma-E4B, MESA Variant=Combined2026.06 | 0.44 |