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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