stig-engine/com.stigway.engine.commands.analyzefunctionmetrics/AnalyzeFunctionMetricsCompositeCalibration

AnalyzeFunctionMetricsCompositeCalibration

data class AnalyzeFunctionMetricsCompositeCalibration(val weightCognitiveComplexity: Double = 0.1, val weightBranches: Double = 0.55, val weightStatements: Double = 0.1, val weightLines: Double = 0.1, val weightParameters: Double = 0.1, val weightVariables: Double = 0.05, val scaleCognitiveComplexity: Double = defaultFunctionLowToMediumThreshold("cognitiveComplexity"), val scaleBranches: Double = defaultFunctionLowToMediumThreshold("branches"), val scaleStatements: Double = defaultFunctionLowToMediumThreshold("statements"), val scaleLines: Double = defaultFunctionLowToMediumThreshold("lines"), val scaleParameters: Double = defaultFunctionLowToMediumThreshold("parameters"), val scaleVariables: Double = defaultFunctionLowToMediumThreshold("variables"), val weightRecommendedTestsCognitiveComplexity: Double = 0.15, val weightRecommendedTestsBranches: Double = 0.7, val weightRecommendedTestsParameters: Double = 0.15, val scaleRecommendedTestsCognitiveComplexity: Double = 2.0, val scaleRecommendedTestsBranches: Double = 1.0, val scaleRecommendedTestsParameters: Double = 0.5, val scoreGain: Double = 1.0, val scoreOffset: Double = 0.0, val minimumRecommendedTests: Int = 1)

Calibration model used to derive per-function NEXY (Normalized Engineering compleXY).

weight* controls relative importance between metrics. scale* is the raw low-to-medium reference point for that metric at function scope. The default scale values match the function-level thresholds in ComplexityMetrics; in that default mode the default lognormal NEXY model is used (P25 -> NEXY 25, P75 -> NEXY 75, P98 -> NEXY 98). If a caller overrides a scale without providing a full threshold profile, that custom scale is used as the linear low-to-medium calibration point.

scoreGain and scoreOffset are currently ignored.

Constructors

AnalyzeFunctionMetricsCompositeCalibration

constructor(weightCognitiveComplexity: Double = 0.1, weightBranches: Double = 0.55, weightStatements: Double = 0.1, weightLines: Double = 0.1, weightParameters: Double = 0.1, weightVariables: Double = 0.05, scaleCognitiveComplexity: Double = defaultFunctionLowToMediumThreshold("cognitiveComplexity"), scaleBranches: Double = defaultFunctionLowToMediumThreshold("branches"), scaleStatements: Double = defaultFunctionLowToMediumThreshold("statements"), scaleLines: Double = defaultFunctionLowToMediumThreshold("lines"), scaleParameters: Double = defaultFunctionLowToMediumThreshold("parameters"), scaleVariables: Double = defaultFunctionLowToMediumThreshold("variables"), weightRecommendedTestsCognitiveComplexity: Double = 0.15, weightRecommendedTestsBranches: Double = 0.7, weightRecommendedTestsParameters: Double = 0.15, scaleRecommendedTestsCognitiveComplexity: Double = 2.0, scaleRecommendedTestsBranches: Double = 1.0, scaleRecommendedTestsParameters: Double = 0.5, scoreGain: Double = 1.0, scoreOffset: Double = 0.0, minimumRecommendedTests: Int = 1)