Index: trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/AbstractWekaEvaluation.java
===================================================================
--- trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/AbstractWekaEvaluation.java	(revision 34)
+++ trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/AbstractWekaEvaluation.java	(revision 35)
@@ -20,9 +20,9 @@
  * For each classifier, the following metrics are calculated:
  * <ul>
- *  <li>Success with recall>0.7, precision>0.5</li>
- *  <li>Success with recall>0.7, precision>0.7</li>
- *  <li>Success with gscore>0.75</li>
- *  <li>Success with gscore>0.6</li>
- *  <li>error rate</li>
+ *  <li>succHe: Success with recall>0.7, precision>0.5</li>
+ *  <li>succZi: Success with recall>0.7, precision>0.7</li>
+ *  <li>succG75: Success with gscore>0.75</li>
+ *  <li>succG60: Success with gscore>0.6</li>
+ *  <li>error</li>
  *  <li>recall</li>
  *  <li>precision</li>
@@ -31,14 +31,14 @@
  *  <li>AUC</li>
  *  <li>AUCEC (weighted by LOC, if applicable; 0.0 if LOC not available)</li>
- *  <li>true positive rate</li>
- *  <li>true negative rate</li>
- *  <li>true positives</li>
- *  <li>false positives</li>
- *  <li>true negatives</li>
- *  <li>false negatives</li>
- *  <li>training error</li>
- *  <li>training recall</li>
- *  <li>training precision</li>
- *  <li>training success with recall>0.7 and precision>0.5
+ *  <li>tpr: true positive rate</li>
+ *  <li>tnr: true negative rate</li>
+ *  <li>tp: true positives</li>
+ *  <li>fp: false positives</li>
+ *  <li>tn: true negatives</li>
+ *  <li>fn: false negatives</li>
+ *  <li>errortrain: training error</li>
+ *  <li>recalltrain: training recall</li>
+ *  <li>precisiontrain: training precision</li>
+ *  <li>succHetrain: training success with recall>0.7 and precision>0.5
  * </ul> 
  * @author Steffen Herbold
Index: trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIDataLoader.java
===================================================================
--- trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIDataLoader.java	(revision 35)
+++ trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIDataLoader.java	(revision 35)
@@ -0,0 +1,107 @@
+package de.ugoe.cs.cpdp.loader;
+
+import java.io.File;
+import java.io.IOException;
+import java.util.ArrayList;
+
+import weka.core.Attribute;
+import weka.core.DenseInstance;
+import weka.core.Instances;
+import de.ugoe.cs.util.FileTools;
+
+/**
+ * TODO
+ * @author sherbold
+ *
+ */
+class AUDIDataLoader implements SingleVersionLoader {
+
+	/*
+	 * (non-Javadoc)
+	 * 
+	 * @see
+	 * de.ugoe.cs.cpdp.loader.AbstractFolderLoader.SingleVersionLoader#load(
+	 * java.io.File)
+	 */
+	@Override
+	public Instances load(File file) {
+		final String[] lines;
+		try {
+			lines = FileTools.getLinesFromFile(file.getAbsolutePath());
+		} catch (IOException e) {
+			throw new RuntimeException(e);
+		}
+		
+		// information about bugs are in another file
+		String path = file.getAbsolutePath();
+		path = path.substring(0, path.length()-14) + "repro.csv";
+		final String[] linesBug;
+		try {
+			linesBug = FileTools.getLinesFromFile(path);
+		} catch (IOException e) {
+			throw new RuntimeException(e);
+		}
+		
+		// configure Instances
+		final ArrayList<Attribute> atts = new ArrayList<Attribute>();
+
+		String[] lineSplit = lines[0].split(";");
+		// ignore first three/four and last two columns
+		int offset;
+		if( lineSplit[3].equals("project_rev") ) {
+			offset = 4;
+		} else {
+			offset = 3;
+		}
+		for (int j = 0; j < lineSplit.length - (offset+2); j++) {
+			atts.add(new Attribute(lineSplit[j + offset]));
+		}
+		final ArrayList<String> classAttVals = new ArrayList<String>();
+		classAttVals.add("0");
+		classAttVals.add("1");
+		final Attribute classAtt = new Attribute("bug", classAttVals);
+		atts.add(classAtt);
+
+		final Instances data = new Instances(file.getName(), atts, 0);
+		data.setClass(classAtt);
+
+		// fetch data
+		for (int i = 1; i < lines.length; i++) {
+			boolean validInstance = true;
+			lineSplit = lines[i].split(";");
+			String[] lineSplitBug = linesBug[i].split(";");
+			double[] values = new double[data.numAttributes()];
+			for (int j = 0; validInstance && j < values.length-1; j++) {
+				if( lineSplit[j + offset].trim().isEmpty() ) {
+					validInstance = false;
+				} else {
+					values[j] = Double.parseDouble(lineSplit[j + offset].trim());
+				}
+			}
+			if( offset==3 ) {
+				values[values.length - 1] = lineSplitBug[7].equals("0") ? 0 : 1;
+			} else {
+				values[values.length - 1] = lineSplitBug[8].equals("0") ? 0 : 1;
+			}
+			
+			if( validInstance ) {
+				data.add(new DenseInstance(1.0, values));
+			} else {
+				System.out.println("instance " + i + " is invalid");
+			}
+		}
+		return data;
+	}
+
+	/*
+	 * (non-Javadoc)
+	 * 
+	 * @see de.ugoe.cs.cpdp.loader.AbstractFolderLoader.SingleVersionLoader#
+	 * filenameFilter(java.lang.String)
+	 */
+	@Override
+	public boolean filenameFilter(String filename) {
+		return filename.endsWith("src.csv");
+	}
+
+}
Index: trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIFolderLoader.java
===================================================================
--- trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIFolderLoader.java	(revision 35)
+++ trunk/CrossPare/src/de/ugoe/cs/cpdp/loader/AUDIFolderLoader.java	(revision 35)
@@ -0,0 +1,14 @@
+package de.ugoe.cs.cpdp.loader;
+
+public class AUDIFolderLoader extends AbstractFolderLoader {
+
+	/*
+	 * (non-Javadoc)
+	 * 
+	 * @see de.ugoe.cs.cpdp.loader.AbstractFolderLoader#getSingleLoader()
+	 */
+	@Override
+	protected SingleVersionLoader getSingleLoader() {
+		return new AUDIDataLoader();
+	}
+}