Research Article
Research on Cross-Company Defect Prediction Method to Improve Software Security
Table 3
The metrics in NASA datasets.
| ID | Feature |
| 1 | LOC_BLANK | 2 | BRANCH_COUNT | 3 | CALL_PAIRS | 4 | LOC_CODE_AND_COMMENT | 5 | LOC_COMMENTS | 6 | CONDITION_COUNT | 7 | CYCLOMATIC_COMPLEXITY | 8 | CYCLOMATIC_DENSITY | 9 | DECISION_COUNT | 10 | DECISION_DENSITY | 11 | DESIGN_COMPLEXITY | 12 | DESIGN_DENSITY | 13 | EDGE_COUNT | 14 | ESSENTIAL_COMPLEXITY | 15 | ESSENTIAL_DENSITY | 16 | LOC_EXECUTABLE | 17 | PARAMETER_COUNT | 18 | HALSTEAD_CONTENT | 19 | HALSTEAD_DIFFICULTY | 20 | HALSTEAD_EFFORT | 21 | HALSTEAD_ERROR_EST | 22 | HALSTEAD_LENGTH | 23 | HALSTEAD_LEVEL | 24 | HALSTEAD_PROG_TIME | 25 | HALSTEAD_VOLUME | 26 | MAINTENANCE_SEVERITY | 27 | MODIFIED_CONDITION_COUNT | 28 | MULTIPLE_CONDITION_COUNT | 29 | NODE_COUNT | 30 | NORMALIZED_CYLOMATIC_COMPLEXITY | 31 | NUM_OPERANDS | 32 | NUM_OPERATORS | 33 | NUM_UNIQUE_OPERANDS | 34 | NUM_UNIQUE_OPERATORS | 35 | NUMBER_OF_LINES | 36 | PERCENT_COMMENTS | 37 | LOC_TOTAL |
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