Research Article
Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks
Table 1
Information for the projects in PROMISE.
| Projects in PROMISE | Number of instances | Number of defects | Defect ratio |
| Camel-1.6 | 965 | 188 | 19.5% | Forrest-0.8 | 32 | 2 | 6.3% | Log4j-1.2 | 205 | 189 | 92.2% | Synapse-1.2 | 256 | 86 | 33.6% | Xalan-2.7 | 909 | 898 | 98.9% | Xerces-1.4.4 | 588 | 437 | 74.3% |
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