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added property descriptors & references to them

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git-svn-id: https://pmd.svn.sourceforge.net/svnroot/pmd/trunk@4695 51baf565-9d33-0410-a72c-fc3788e3496d
This commit is contained in:
Brian Remedios
2006-10-17 02:04:43 +00:00
parent e54bf36d7a
commit 9039d018c8
1 changed files with 34 additions and 9 deletions
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43
pmd/src/net/sourceforge/pmd/stat/StatisticalRule.java
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@ -3,15 +3,19 @@
*/
package net.sourceforge.pmd.stat;
import net.sourceforge.pmd.AbstractRule;
import net.sourceforge.pmd.RuleContext;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.SortedSet;
import java.util.TreeSet;
import net.sourceforge.pmd.AbstractRule;
import net.sourceforge.pmd.PropertyDescriptor;
import net.sourceforge.pmd.RuleContext;
import net.sourceforge.pmd.properties.DoubleProperty;
import net.sourceforge.pmd.properties.IntegerProperty;
/**
* @author David Dixon-Peugh
* Aug 8, 2002 StatisticalRule.java
@ -25,6 +29,23 @@ public abstract class StatisticalRule extends AbstractRule {
private int count = 0;
private double total = 0.0;
private static final PropertyDescriptor sigmaDescriptor = new DoubleProperty(
"sigma", "Sigma value", 0, 1.0f
);
private static final PropertyDescriptor minimumDescriptor = new DoubleProperty(
"minimum", "Minimum value", 0, 1.0f
);
private static final PropertyDescriptor topScoreDescriptor = new IntegerProperty(
"topscore", "Top score value", 0, 1.0f
);
private static final Map propertyDescriptorsByName = asFixedMap( new PropertyDescriptor[] {
sigmaDescriptor, minimumDescriptor, topScoreDescriptor
});
public void addDataPoint(DataPoint point) {
count++;
total += point.getScore();
@ -37,14 +58,14 @@ public abstract class StatisticalRule extends AbstractRule {
double deviation;
double minimum = 0.0;
if (hasProperty("sigma")) {
if (hasProperty("sigma")) { // TODO - need to come up with a good default value
deviation = getStdDev();
double sigma = getDoubleProperty("sigma");
double sigma = getDoubleProperty(sigmaDescriptor);
minimum = getMean() + (sigma * deviation);
}
if (hasProperty("minimum")) {
double mMin = getDoubleProperty("minimum");
if (hasProperty("minimum")) { // TODO - need to come up with a good default value
double mMin = getDoubleProperty(minimumDescriptor);
if (mMin > minimum) {
minimum = mMin;
}
@ -52,8 +73,8 @@ public abstract class StatisticalRule extends AbstractRule {
SortedSet newPoints = applyMinimumValue(dataPoints, minimum);
if (hasProperty("topscore")) {
int topScore = getIntProperty("topscore");
if (hasProperty("topscore")) { // TODO - need to come up with a good default value
int topScore = getIntProperty(topScoreDescriptor);
if (newPoints.size() >= topScore) {
newPoints = applyTopScore(newPoints, topScore);
}
@ -126,4 +147,8 @@ public abstract class StatisticalRule extends AbstractRule {
addViolationWithMessage(ctx, point.getNode(), point.getMessage());
}
}
protected Map propertiesByName() {
return propertyDescriptorsByName;
}
}