Research Article
Defect Prediction Technology of Aerospace Software Based on Deep Neural Network and Process Measurement
| Software project | Version number | Number of modules | Number of metrics | Number of defective modules | Defect rate (%) |
| XX flight control software | V1.01 | 1837 | 31 | 207 | 11.26 | V1.02 | 1995 | 31 | 215 | 10.77 | V1.03 | 2448 | 31 | 308 | 12.58 |
| XX fire control software | V1.01 | 5973 | 31 | 1218 | 20.39 | V1.02 | 6898 | 31 | 1048 | 15.19 | V1.03 | 8420 | 31 | 1406 | 16.70 |
| XX accused software | V1.01 | 3086 | 31 | 484 | 15.68 | V1.02 | 3317 | 31 | 723 | 21.79 | V1.03 | 3965 | 31 | 511 | 12.89 |
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