Index: /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/MatrixEntry.java
===================================================================
--- /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/MatrixEntry.java	(revision 1558)
+++ /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/MatrixEntry.java	(revision 1559)
@@ -4,4 +4,6 @@
 	private float score;
 	private MatrixEntry previous;
+	private int xvalue;
+	private int yvalue;
 	
 	public MatrixEntry(float score, MatrixEntry previous)	{
@@ -25,3 +27,19 @@
 		this.previous = previous;
 	}
+
+	public int getXvalue() {
+		return xvalue;
+	}
+
+	public void setXvalue(int xvalue) {
+		this.xvalue = xvalue;
+	}
+
+	public int getYvalue() {
+		return yvalue;
+	}
+
+	public void setYvalue(int yvalue) {
+		this.yvalue = yvalue;
+	}
 }
Index: /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/NumberSequence.java
===================================================================
--- /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/NumberSequence.java	(revision 1558)
+++ /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/NumberSequence.java	(revision 1559)
@@ -29,5 +29,5 @@
 	{	
 		for (int i = 0; i < sequence.length; i++) {
-			System.out.format("%4d", sequence[i]);
+			System.out.format("%5d", sequence[i]);
 		}
 		System.out.println();
Index: /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/SmithWatermanRepeated.java
===================================================================
--- /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/SmithWatermanRepeated.java	(revision 1558)
+++ /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/algorithms/SmithWatermanRepeated.java	(revision 1559)
@@ -51,5 +51,5 @@
 		matrix = new MatrixEntry[length1+2][length2+1];
 		
-		for (int i = 0; i <= length1; i++) {
+		for (int i = 0; i <= length1+1; i++) {
 			for(int j = 0; j< length2; j++) {
 				matrix[i][j] = new MatrixEntry();
@@ -71,20 +71,10 @@
 	 * @return Cost of substitution of the character in str1 by the one in str2
 	 */
-	private float similarity(int i, int j) {
-		if (i == 0 || j == 0) {
-			// it's a gap 
-			return submat.getGapPenalty();
-		}
-		// System.out.println("Diag letters: " + input1[i-1] + " " +
-		// input2[j-1]);
-		// return (input1[i - 1] == input2[j - 1]) ? MATCH_SCORE :
-		// MISMATCH_SCORE;
+	private float similarity(int i, int j) { 
 		return submat.getDistance(input1[i - 1], input2[j - 1]);
 	}
 
 	/**
-	 * Build the score matrix using dynamic programming. Note: The indel scores
-	 * must be negative. Otherwise, the part handling the first row and column
-	 * has to be modified.
+	 * Build the score matrix using dynamic programming.
 	 */
 	private void buildMatrix() {
@@ -93,6 +83,5 @@
 		}
 		
-
-		// base case
+		// it's a gap
 		matrix[0][0].setScore(0);
 		matrix[0][0].setPrevious(null); // starting point
@@ -107,5 +96,5 @@
 		
 		
-		for (int i = 1; i <= length1; i++) {
+		for (int i = 1; i <= length1 + 1; i++) {
 		
 			// Formula for first row:
@@ -113,24 +102,52 @@
 			
 			float firstRowLeftScore = matrix[i-1][0].getScore();
-			float tempMax = matrix[i-1][1].getScore();
-			
-			//position of the maximal score of the previous row
-			int maxRowIndex = 1;
-			
-			for(int j = 2; j < length2;j++) {
-				if(matrix[i-1][j].getScore() > tempMax) {
-					tempMax = matrix[i-1][j].getScore();
-					maxRowIndex = j;
-				}
-			}
-			
+			//for sequences of length 1
+			float tempMax;
+			int maxRowIndex;
+			if(length2 == 1) {
+				tempMax = matrix[i-1][0].getScore();
+				maxRowIndex = 0;
+			} else {
+				tempMax = matrix[i-1][1].getScore();
+				maxRowIndex = 1;
+				//position of the maximal score of the previous row
+				
+				for(int j = 2; j < length2;j++) {
+					if(matrix[i-1][j].getScore() > tempMax) {
+						tempMax = matrix[i-1][j].getScore();
+						maxRowIndex = j;
+					}
+				}
+
+			}
+			
+					
 			tempMax -= scoreThreshold;
 			matrix[i][0].setScore(Math.max(firstRowLeftScore, tempMax));
+			if(tempMax ==matrix[i][0].getScore()){
+				matrix[i][0].setPrevious(matrix[i-1][maxRowIndex]);
+			}
+			
+			if(firstRowLeftScore == matrix[i][0].getScore()) {
+				matrix[i][0].setPrevious(matrix[i-1][0]);
+			}
+			
+			//The last additional score is not related to a character in the input sequence, it's the total score. Therefore we don't need to save something for it
+			if(i<length1+1) 
+			{
+				matrix[i][0].setXvalue(input1[i-1]);
+				matrix[i][0].setYvalue(-2);
+				
+			}
+			else { 
+			//End after we calculated final score
+				return;
+			}
 			
 			
 			for (int j = 1; j < length2; j++) {
 				float diagScore = matrix[i - 1][j - 1].getScore() + similarity(i, j);
-				float upScore = matrix[i][j - 1].getScore() + similarity(0, j);
-				float leftScore = matrix[i - 1][j].getScore() + similarity(i, 0);
+				float upScore = matrix[i][j - 1].getScore() + submat.getGapPenalty();
+				float leftScore = matrix[i - 1][j].getScore() + submat.getGapPenalty();
 
 				matrix[i][j].setScore(Math.max(diagScore,Math.max(upScore, Math.max(leftScore,matrix[i][0].getScore()))));
@@ -138,17 +155,32 @@
 				// find the directions that give the maximum scores.
 				// Multiple directions are ignored TODO
+				//True if we had a match
 				if (diagScore == matrix[i][j].getScore()) {
 					matrix[i][j].setPrevious(matrix[i-1][j-1]);
-				}
+					matrix[i][j].setXvalue(input1[i-1]);
+					matrix[i][j].setYvalue(input2[j-1]);
+				}
+				//true if we took an event from sequence x and not from y
 				if (leftScore == matrix[i][j].getScore()) {
+					matrix[i][j].setXvalue(input1[i-1]);
+					matrix[i][j].setYvalue(-1);
 					matrix[i][j].setPrevious(matrix[i-1][j]);
 				}
+				//true if we took an event from sequence y and not from x
 				if (upScore == matrix[i][j].getScore()) {
+					matrix[i][j].setXvalue(-1);
+					matrix[i][j].setYvalue(input2[j-1]);
 					matrix[i][j].setPrevious(matrix[i][j-1]);
 				}
+				//true if we ended a matching region 
 				if (matrix[i][0].getScore() == matrix[i][j].getScore()) {
-					matrix[i][j].setPrevious(matrix[i-1][maxRowIndex]);
-				}
-			}
+					matrix[i][j].setPrevious(matrix[i][0]);
+					matrix[i][j].setXvalue(input1[i-1]);
+					matrix[i][j].setYvalue(-2);
+				}
+			}
+			
+			//Set the complete score cell
+			
 		}
 	}
@@ -175,6 +207,6 @@
 	 * Get the alignment score between the two input strings.
 	 */
-	public double getAlignmentScore() {
-		return getMaxScore();
+	public float getAlignmentScore() {
+		return matrix[length1+1][0].getScore();
 	}
 
@@ -188,7 +220,52 @@
 	 */
 	private int[] traceback(int i, int j) {
-
+		
+			
 		return null;
 	}
+	
+	public void traceback() {
+		MatrixEntry tmp = matrix[length1+1][0];
+		String aligned1 = "";
+		String aligned2 = "";
+		int count = 0;
+		do
+		{
+			String append1="";
+			String append2="";
+					
+			if(tmp.getXvalue() == -1) {
+				append1 = "  ___";
+			}
+			else if(tmp.getXvalue() == -2) {
+				append1 = "  ...";
+			}
+			else {
+				append1 = String.format("%5d", tmp.getXvalue());
+			}
+
+			if(tmp.getYvalue() == -1) {
+				append2 = "  ___";
+			}
+			else if(tmp.getYvalue() == -2) {
+				append2 = "  ...";
+			}
+			else {
+				append2 = String.format("%5d", tmp.getYvalue());
+			}
+			if(count != 0)
+			{
+				aligned1 = append1 + aligned1;
+				aligned2 = append2 + aligned2;
+			}
+			
+			tmp = tmp.getPrevious();
+			count++;
+			
+		} while(tmp != null);
+		System.out.println(aligned1);
+		System.out.println(aligned2);
+	}
+	
 
 	
@@ -207,7 +284,10 @@
 				System.out.print("      ");
 			}
-			for (int i = 0; i <= length1; i++) {
-				System.out.format("%4.1f ",matrix[i][j].getScore());
-			}
+			for (int i = 0; i <= length1 + 1; i++) {
+				if((i<length1+1) || (i==length1+1 && j==0))	{
+					System.out.format("%4.1f ",matrix[i][j].getScore());
+				}
+				
+			}			
 			System.out.println();
 		}
Index: /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/substitution/ObjectDistanceSubstitionMatrix.java
===================================================================
--- /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/substitution/ObjectDistanceSubstitionMatrix.java	(revision 1558)
+++ /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/alignment/substitution/ObjectDistanceSubstitionMatrix.java	(revision 1559)
@@ -35,5 +35,5 @@
 		idmapping = new HashMap<Integer, Integer>();
 		matrix = new TriangleMatrix(uniqueTasks.size()+1);
-		gapPenalty = -10;
+		gapPenalty = -5;
 		
 	}
Index: /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/temporalrelation/SequenceForTaskDetectionRuleAlignment.java
===================================================================
--- /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/temporalrelation/SequenceForTaskDetectionRuleAlignment.java	(revision 1558)
+++ /branches/ralph/src/main/java/de/ugoe/cs/autoquest/tasktrees/temporalrelation/SequenceForTaskDetectionRuleAlignment.java	(revision 1559)
@@ -51,16 +51,18 @@
 /**
  * <p>
- * This class implements the major rule for creating task trees based on a set of recorded
- * user sessions. For this, it first harmonizes all tasks. This eases later comparison. Then it
- * searches the sessions for iterations and replaces them accordingly. Then it searches for sub
- * sequences being the longest and occurring most often. For each found sub sequence, it replaces
- * the occurrences by creating appropriate {@link ISequence}s. Afterwards, again searches for
- * iterations and then again for sub sequences until no more replacements are done.
+ * This class implements the major rule for creating task trees based on a set
+ * of recorded user sessions. For this, it first harmonizes all tasks. This
+ * eases later comparison. Then it searches the sessions for iterations and
+ * replaces them accordingly. Then it searches for sub sequences being the
+ * longest and occurring most often. For each found sub sequence, it replaces
+ * the occurrences by creating appropriate {@link ISequence}s. Afterwards, again
+ * searches for iterations and then again for sub sequences until no more
+ * replacements are done.
  * </p>
  * <p>
- * For determining the longest sequence occurring most often, the implementation uses a 
- * {@link Trie}. The depth of the tree is initially 3. If the algorithm has a longest sequence
- * occurring most often whose length is equal to the depth of the trie, it recalculates the trie
- * with an increased depth. 
+ * For determining the longest sequence occurring most often, the implementation
+ * uses a {@link Trie}. The depth of the tree is initially 3. If the algorithm
+ * has a longest sequence occurring most often whose length is equal to the
+ * depth of the trie, it recalculates the trie with an increased depth.
  * </p>
  * 
@@ -68,1115 +70,1201 @@
  */
 class SequenceForTaskDetectionRuleAlignment implements ISessionScopeRule {
-    
-    /**
-     * <p>
-     * the task factory to be used for creating substructures for the temporal
-     * relationships identified during rul application
-     * </p>
-     */
-    private ITaskFactory taskFactory;
-    /**
-     * <p>
-     * the task builder to be used for creating substructures for the temporal relationships
-     * identified during rule application
-     * </p>
-     */
-    private ITaskBuilder taskBuilder;
-
-    /**
-     * <p>
-     * the task handling strategy to be used for comparing tasks for preparation, i.e., before
-     * the tasks are harmonized
-     * </p>
-     */
-    private TaskHandlingStrategy preparationTaskHandlingStrategy;
-    
-    /**
-     * <p>
-     * the task handling strategy to be used for comparing tasks during iteration detection an trie
-     * generation, i.e., after the tasks are harmonized 
-     * </p>
-     */
-    private TaskHandlingStrategy identityTaskHandlingStrategy;;
-    
-    
-    private ArrayList<NumberSequence> numberseqs;
-    
-    /**
-     * <p>
-     * instantiates the rule and initializes it with a task equality to be considered when
-     * comparing tasks as well as a task factory and builder to be used for creating task
-     * structures.
-     * </p>
-     * 
-     * @param minimalTaskEquality the task equality to be considered when comparing tasks
-     * @param taskFactory         the task factory to be used for creating substructures
-     * @param taskBuilder         the task builder to be used for creating substructures
-     */
-    
-   
-    SequenceForTaskDetectionRuleAlignment(TaskEquality minimalTaskEquality,
-                                 ITaskFactory taskFactory,
-                                 ITaskBuilder taskBuilder)
-    {
-        this.taskFactory = taskFactory;
-        this.taskBuilder = taskBuilder;
-        
-        this.preparationTaskHandlingStrategy = new TaskHandlingStrategy(minimalTaskEquality);
-        this.identityTaskHandlingStrategy = new TaskHandlingStrategy(TaskEquality.IDENTICAL);
-        numberseqs = new ArrayList<NumberSequence>();
-        
-    }
-
-    /* (non-Javadoc)
-     * @see java.lang.Object#toString()
-     */
-    @Override
-    public String toString() {
-        return "SequenceForTaskDetectionRuleAlignment";
-    }
-
-    /* (non-Javadoc)
-     * @see de.ugoe.cs.autoquest.tasktrees.temporalrelation.ISessionScopeRule#apply(java.util.List)
-     */
-    @Override
-    public RuleApplicationResult apply(List<IUserSession> sessions) {
-        RuleApplicationData appData = new RuleApplicationData(sessions);
-        
-        
-        
-        // this is the real rule application. Loop while something is replaced.
-        SymbolMap<ITaskInstance, ITask> uniqueTasks = harmonizeEventTaskInstancesModel(appData);
-        ObjectDistanceSubstitionMatrix submat = new ObjectDistanceSubstitionMatrix(uniqueTasks,20);
-        submat.generate();
-      
-       
-        
-        System.out.print("Sequence 1: ");
-        NumberSequence ns1 = numberseqs.get(7);
-        NumberSequence ns2 = numberseqs.get(8);
-        ns1.printSequence();
-        System.out.print("Sequence 2: ");
-        ns2.printSequence();
-        //SmithWatermanRepeated sw = new SmithWatermanRepeated(numberseqs.get(20).getSequence(), numberseqs.get(24).getSequence(), submat,10);
-        SmithWatermanRepeated sw = new SmithWatermanRepeated(ns1.getSequence(), ns2.getSequence(), submat,15);
-        System.out.println("Max Scrore: " + sw.getMaxScore());
-        
-        sw.printDPMatrix();
-   
-        
-        
-
-        do {
-            System.out.println();
-            FengDoolittle fd = new FengDoolittle();
-            
-            
-            //appData.getStopWatch().start("whole loop");
-            //detectAndReplaceIterations(appData);
-
-            //appData.getStopWatch().start("task replacement");
-            //detectAndReplaceTasks(appData);
-            //appData.getStopWatch().stop("task replacement");
-            //appData.getStopWatch().stop("whole loop");
-            
-            
-            //appData.getStopWatch().dumpStatistics(System.out);
-            //appData.getStopWatch().reset();
-            
-        }
-        while (appData.detectedAndReplacedTasks());
-        
-        Console.println
-            ("created " + appData.getResult().getNewlyCreatedTasks().size() +
-             " new tasks and " + appData.getResult().getNewlyCreatedTaskInstances().size() +
-             " appropriate instances\n");
-        
-        if ((appData.getResult().getNewlyCreatedTasks().size() > 0) ||
-            (appData.getResult().getNewlyCreatedTaskInstances().size() > 0))
-        {
-            appData.getResult().setRuleApplicationStatus(RuleApplicationStatus.FINISHED);
-        }
-        
-        return appData.getResult();
-    }
-
-    /**
-     * <p>
-     * harmonizes the event task instances by unifying tasks. This is done, as initially the
-     * event tasks being equal with respect to the considered task equality are distinct objects.
-     * The comparison of these distinct objects is more time consuming than comparing the object
-     * references.
-     * </p>
-     *
-     * @param appData the rule application data combining all data used for applying this rule
-     * @return Returns the unique tasks symbol map
-     */
-    private SymbolMap<ITaskInstance, ITask> harmonizeEventTaskInstancesModel(RuleApplicationData appData) {
-        Console.traceln(Level.INFO, "harmonizing task model of event task instances");
-        appData.getStopWatch().start("harmonizing event tasks");
-
-        SymbolMap<ITaskInstance, ITask> uniqueTasks =
-            preparationTaskHandlingStrategy.createSymbolMap();
-        TaskInstanceComparator comparator = preparationTaskHandlingStrategy.getTaskComparator();
-        
-        int unifiedTasks = 0;
-        ITask task;
-        List<IUserSession> sessions = appData.getSessions();
-        int sessionNo = 0;
-        numberseqs = new ArrayList<NumberSequence>();
-        for (IUserSession session : sessions) {
-            Console.traceln(Level.FINE, "handling " + (++sessionNo) + ". " + session);
-        	NumberSequence templist = new NumberSequence(session.size()) ;
-            
-            for (int i = 0; i < session.size(); i++) {
-            	ITaskInstance taskInstance = session.get(i); 
-                task = uniqueTasks.getValue(taskInstance);
-                
-                if (task == null) {
-                    uniqueTasks.addSymbol(taskInstance, taskInstance.getTask());
-                    templist.getSequence()[i]=taskInstance.getTask().getId();
-                }
-                else {
-                    taskBuilder.setTask(taskInstance, task);
-                	templist.getSequence()[i]=task.getId();
-                    unifiedTasks++;
-                }
-            }
-            numberseqs.add(templist);
-            comparator.clearBuffers();
-        }
-        
-        appData.getStopWatch().stop("harmonizing event tasks");
-        Console.traceln(Level.INFO, "harmonized " + unifiedTasks + " task occurrences (still " +
-                        uniqueTasks.size() + " different tasks)");
-
-        appData.getStopWatch().dumpStatistics(System.out);
-        appData.getStopWatch().reset();
+
+	/**
+	 * <p>
+	 * the task factory to be used for creating substructures for the temporal
+	 * relationships identified during rul application
+	 * </p>
+	 */
+	private ITaskFactory taskFactory;
+	/**
+	 * <p>
+	 * the task builder to be used for creating substructures for the temporal
+	 * relationships identified during rule application
+	 * </p>
+	 */
+	private ITaskBuilder taskBuilder;
+
+	/**
+	 * <p>
+	 * the task handling strategy to be used for comparing tasks for
+	 * preparation, i.e., before the tasks are harmonized
+	 * </p>
+	 */
+	private TaskHandlingStrategy preparationTaskHandlingStrategy;
+
+	/**
+	 * <p>
+	 * the task handling strategy to be used for comparing tasks during
+	 * iteration detection an trie generation, i.e., after the tasks are
+	 * harmonized
+	 * </p>
+	 */
+	private TaskHandlingStrategy identityTaskHandlingStrategy;;
+
+	private ArrayList<NumberSequence> numberseqs;
+
+	/**
+	 * <p>
+	 * instantiates the rule and initializes it with a task equality to be
+	 * considered when comparing tasks as well as a task factory and builder to
+	 * be used for creating task structures.
+	 * </p>
+	 * 
+	 * @param minimalTaskEquality
+	 *            the task equality to be considered when comparing tasks
+	 * @param taskFactory
+	 *            the task factory to be used for creating substructures
+	 * @param taskBuilder
+	 *            the task builder to be used for creating substructures
+	 */
+
+	SequenceForTaskDetectionRuleAlignment(TaskEquality minimalTaskEquality,
+			ITaskFactory taskFactory, ITaskBuilder taskBuilder) {
+		this.taskFactory = taskFactory;
+		this.taskBuilder = taskBuilder;
+
+		this.preparationTaskHandlingStrategy = new TaskHandlingStrategy(
+				minimalTaskEquality);
+		this.identityTaskHandlingStrategy = new TaskHandlingStrategy(
+				TaskEquality.IDENTICAL);
+		numberseqs = new ArrayList<NumberSequence>();
+
+	}
+
+	/*
+	 * (non-Javadoc)
+	 * 
+	 * @see java.lang.Object#toString()
+	 */
+	@Override
+	public String toString() {
+		return "SequenceForTaskDetectionRuleAlignment";
+	}
+
+	/*
+	 * (non-Javadoc)
+	 * 
+	 * @see
+	 * de.ugoe.cs.autoquest.tasktrees.temporalrelation.ISessionScopeRule#apply
+	 * (java.util.List)
+	 */
+	@Override
+	public RuleApplicationResult apply(List<IUserSession> sessions) {
+		RuleApplicationData appData = new RuleApplicationData(sessions);
+
+		// this is the real rule application. Loop while something is replaced.
+		SymbolMap<ITaskInstance, ITask> uniqueTasks = harmonizeEventTaskInstancesModel(appData);
+		ObjectDistanceSubstitionMatrix submat = new ObjectDistanceSubstitionMatrix(
+				uniqueTasks, 5);
+		submat.generate();
+
+		// good tests: 7/8 20/24
+		for (int i = 0; i < numberseqs.size(); i++) {
+			for (int j = 0; j < numberseqs.size(); j++) {
+				
+				NumberSequence ns1 = numberseqs.get(i);
+				NumberSequence ns2 = numberseqs.get(j);
+				
+				
+				
+				SmithWatermanRepeated sw = new SmithWatermanRepeated(
+						ns1.getSequence(), ns2.getSequence(), submat, 10);
+				
+				if(sw.getAlignmentScore() > 0)
+				{   
+					System.out.println("=================================================");
+					System.out.println("| Sequence " + String.format("%3d", i) +" Sequence " + String.format("%3d", j)  + "                     |");
+					System.out.println("=================================================");
+					//System.out.print("Sequence " + i + ": ");
+					//ns1.printSequence();
+					//System.out.print("Sequence " + j + ": ");
+					//ns2.printSequence();
+					//System.out.println("Max Scrore: " + sw.getMaxScore());
+					System.out.println("Alignment Score: " + sw.getAlignmentScore());
+					//sw.printDPMatrix();
+					sw.traceback();
+					System.out.println();
+					System.out.println();
+				}
+			}
+		}
+
+		do {
+			System.out.println();
+			FengDoolittle fd = new FengDoolittle();
+
+			// appData.getStopWatch().start("whole loop");
+			// detectAndReplaceIterations(appData);
+
+			// appData.getStopWatch().start("task replacement");
+			// detectAndReplaceTasks(appData);
+			// appData.getStopWatch().stop("task replacement");
+			// appData.getStopWatch().stop("whole loop");
+
+			// appData.getStopWatch().dumpStatistics(System.out);
+			// appData.getStopWatch().reset();
+
+		} while (appData.detectedAndReplacedTasks());
+
+		Console.println("created "
+				+ appData.getResult().getNewlyCreatedTasks().size()
+				+ " new tasks and "
+				+ appData.getResult().getNewlyCreatedTaskInstances().size()
+				+ " appropriate instances\n");
+
+		if ((appData.getResult().getNewlyCreatedTasks().size() > 0)
+				|| (appData.getResult().getNewlyCreatedTaskInstances().size() > 0)) {
+			appData.getResult().setRuleApplicationStatus(
+					RuleApplicationStatus.FINISHED);
+		}
+
+		return appData.getResult();
+	}
+
+	/**
+	 * <p>
+	 * harmonizes the event task instances by unifying tasks. This is done, as
+	 * initially the event tasks being equal with respect to the considered task
+	 * equality are distinct objects. The comparison of these distinct objects
+	 * is more time consuming than comparing the object references.
+	 * </p>
+	 * 
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 * @return Returns the unique tasks symbol map
+	 */
+	private SymbolMap<ITaskInstance, ITask> harmonizeEventTaskInstancesModel(
+			RuleApplicationData appData) {
+		Console.traceln(Level.INFO,
+				"harmonizing task model of event task instances");
+		appData.getStopWatch().start("harmonizing event tasks");
+
+		SymbolMap<ITaskInstance, ITask> uniqueTasks = preparationTaskHandlingStrategy
+				.createSymbolMap();
+		TaskInstanceComparator comparator = preparationTaskHandlingStrategy
+				.getTaskComparator();
+
+		int unifiedTasks = 0;
+		ITask task;
+		List<IUserSession> sessions = appData.getSessions();
+		int sessionNo = 0;
+		numberseqs = new ArrayList<NumberSequence>();
+		for (IUserSession session : sessions) {
+			Console.traceln(Level.FINE, "handling " + (++sessionNo) + ". "
+					+ session);
+			NumberSequence templist = new NumberSequence(session.size());
+
+			for (int i = 0; i < session.size(); i++) {
+				ITaskInstance taskInstance = session.get(i);
+				task = uniqueTasks.getValue(taskInstance);
+
+				if (task == null) {
+					uniqueTasks.addSymbol(taskInstance, taskInstance.getTask());
+					templist.getSequence()[i] = taskInstance.getTask().getId();
+				} else {
+					taskBuilder.setTask(taskInstance, task);
+					templist.getSequence()[i] = task.getId();
+					unifiedTasks++;
+				}
+			}
+			numberseqs.add(templist);
+			comparator.clearBuffers();
+		}
+
+		appData.getStopWatch().stop("harmonizing event tasks");
+		Console.traceln(Level.INFO, "harmonized " + unifiedTasks
+				+ " task occurrences (still " + uniqueTasks.size()
+				+ " different tasks)");
+
+		appData.getStopWatch().dumpStatistics(System.out);
+		appData.getStopWatch().reset();
 		return uniqueTasks;
-    }
-
-    /**
-     * <p>
-     * searches for direct iterations of single tasks in all sequences and replaces them with
-     * {@link IIteration}s, respectively appropriate instances. Also all single occurrences of
-     * a task that is iterated somewhen are replaced with iterations to have again an efficient
-     * way for task comparisons. 
-     * </p>
-     * 
-     * @param appData the rule application data combining all data used for applying this rule
-     */
-    private void detectAndReplaceIterations(RuleApplicationData appData) {
-        Console.traceln(Level.FINE, "detecting iterations");
-        appData.getStopWatch().start("detecting iterations");
-        
-        List<IUserSession> sessions = appData.getSessions();
-        
-        Set<ITask> iteratedTasks = searchIteratedTasks(sessions);
-        
-        if (iteratedTasks.size() > 0) {
-            replaceIterationsOf(iteratedTasks, sessions, appData);
-        }
-        
-        appData.getStopWatch().stop("detecting iterations");
-        Console.traceln(Level.INFO, "replaced " + iteratedTasks.size() + " iterated tasks");
-    }
-
-    /**
-     * <p>
-     * searches the provided sessions for task iterations. If a task is iterated, it is added
-     * to the returned set.
-     * </p>
-     * 
-     * @param the session to search for iterations in
-     * 
-     * @return a set of tasks being iterated somewhere
-     */
-    private Set<ITask> searchIteratedTasks(List<IUserSession> sessions) {
-        Set<ITask> iteratedTasks = new HashSet<ITask>();
-        for (IUserSession session : sessions) {
-            for (int i = 0; i < (session.size() - 1); i++) {
-                // we prepared the task instances to refer to unique tasks, if they are treated
-                // as equal. Therefore, we just compare the identity of the tasks of the task
-                // instances
-                if (session.get(i).getTask() == session.get(i + 1).getTask()) {
-                    iteratedTasks.add(session.get(i).getTask());
-                }
-            }
-        }
-        
-        return iteratedTasks;
-    }
-
-    /**
-     * <p>
-     * replaces all occurrences of all tasks provided in the set with iterations
-     * </p>
-     *
-     * @param iteratedTasks the tasks to be replaced with iterations
-     * @param sessions      the sessions in which the tasks are to be replaced
-     * @param appData       the rule application data combining all data used for applying this rule
-     */
-    private void replaceIterationsOf(Set<ITask>          iteratedTasks,
-                                     List<IUserSession>  sessions,
-                                     RuleApplicationData appData)
-    {
-        Map<ITask, IIteration> iterations = new HashMap<ITask, IIteration>();
-        Map<IIteration, List<IIterationInstance>> iterationInstances =
-                new HashMap<IIteration, List<IIterationInstance>>();
-            
-        for (ITask iteratedTask : iteratedTasks) {
-            IIteration iteration = taskFactory.createNewIteration();
-            iterations.put(iteratedTask, iteration);
-            iterationInstances.put(iteration, new LinkedList<IIterationInstance>());
-        }
-        
-        IIterationInstance iterationInstance;
-        
-        for (IUserSession session : sessions) {
-            int index = 0;
-            iterationInstance = null;
-
-            while (index < session.size()) {
-                // we prepared the task instances to refer to unique tasks, if they are treated
-                // as equal. Therefore, we just compare the identity of the tasks of the task
-                // instances
-                ITask currentTask = session.get(index).getTask();
-                IIteration iteration = iterations.get(currentTask);
-                if (iteration != null) {
-                    if ((iterationInstance == null) || (iterationInstance.getTask() != iteration))
-                    {
-                        iterationInstance = taskFactory.createNewTaskInstance(iteration);
-                        iterationInstances.get(iteration).add(iterationInstance);
-                        taskBuilder.addTaskInstance(session, index, iterationInstance);
-                        index++;
-                    }
-                    
-                    taskBuilder.addChild(iterationInstance, session.get(index));
-                    taskBuilder.removeTaskInstance(session, index);
-                }
-                else {
-                    if (iterationInstance != null) {
-                        iterationInstance = null;
-                    }
-                    index++;
-                }
-            }
-        }
-        
-        for (Map.Entry<IIteration, List<IIterationInstance>> entry : iterationInstances.entrySet())
-        {
-            harmonizeIterationInstancesModel(entry.getKey(), entry.getValue());
-        }
-    }
-
-    /**
-     * <p>
-     * TODO clarify why this is done
-     * </p>
-     */
-    private void harmonizeIterationInstancesModel(IIteration               iteration,
-                                                  List<IIterationInstance> iterationInstances)
-    {
-        List<ITask> iteratedTaskVariants = new LinkedList<ITask>();
-        TaskInstanceComparator comparator = preparationTaskHandlingStrategy.getTaskComparator();
-        
-        // merge the lexically different variants of iterated task to a unique list 
-        for (IIterationInstance iterationInstance : iterationInstances) {
-            for (ITaskInstance executionVariant : iterationInstance) {
-                ITask candidate = executionVariant.getTask();
-            
-                boolean found = false;
-                for (ITask taskVariant : iteratedTaskVariants) {
-                    if (comparator.areLexicallyEqual(taskVariant, candidate)) {
-                        taskBuilder.setTask(executionVariant, taskVariant);
-                        found = true;
-                        break;
-                    }
-                }
-                
-                if (!found) {
-                    iteratedTaskVariants.add(candidate);
-                }
-            }
-        }
-        
-        // if there are more than one lexically different variant of iterated tasks, adapt the
-        // iteration model to be a selection of different variants. In this case also adapt
-        // the generated iteration instances to correctly contain selection instances. If there
-        // is only one variant of an iterated task, simply set this as the marked task of the
-        // iteration. In this case, the instances can be preserved as is
-        if (iteratedTaskVariants.size() > 1) {
-            ISelection selection = taskFactory.createNewSelection();
-            
-            for (ITask variant : iteratedTaskVariants) {
-                taskBuilder.addChild(selection, variant);
-            }
-            
-            taskBuilder.setMarkedTask(iteration, selection);
-            
-            for (IIterationInstance instance : iterationInstances) {
-                for (int i = 0; i < instance.size(); i++) {
-                    ISelectionInstance selectionInstance =
-                        taskFactory.createNewTaskInstance(selection);
-                    taskBuilder.setChild(selectionInstance, instance.get(i));
-                    taskBuilder.setTaskInstance(instance, i, selectionInstance);
-                }
-            }
-        }
-        else {
-            taskBuilder.setMarkedTask(iteration, iteratedTaskVariants.get(0));
-        }
-    }
-
-    /**
-     * TODO go on commenting
-     * @param appData the rule application data combining all data used for applying this rule
-     */
-    private void detectAndReplaceTasks(RuleApplicationData appData) {
-        Console.traceln(Level.FINE, "detecting and replacing tasks");
-        appData.getStopWatch().start("detecting tasks");
-        
-        getSequencesOccuringMostOften(appData);
-
-        appData.getStopWatch().stop("detecting tasks");
-        appData.getStopWatch().start("replacing tasks");
-        
-        replaceSequencesOccurringMostOften(appData);
-        
-        appData.getStopWatch().stop("replacing tasks");
-        Console.traceln(Level.INFO, "detected and replaced " + appData.getLastFoundTasks().size() +
-                        " tasks occuring " + appData.getLastFoundTasks().getOccurrenceCount() +
-                        " times");
-    }
-
-    /**
-     * @param appData the rule application data combining all data used for applying this rule
-     */
-    private void getSequencesOccuringMostOften(RuleApplicationData appData) {
-        Console.traceln(Level.FINE, "determining most prominent tasks");
-
-        Tasks tasks;
-        boolean createNewTrie = (appData.getLastTrie() == null) ||
-            appData.detectedAndReplacedTasks(); // tree has changed
-        
-        do {
-            if (createNewTrie) {
-                createNewTrie(appData);
-            }
-            
-            MaxCountAndLongestTasksFinder finder = new MaxCountAndLongestTasksFinder();
-            appData.getLastTrie().process(finder);
-        
-            tasks = finder.getFoundTasks();
-            
-            createNewTrie = false;
-            
-            for (List<ITaskInstance> task : tasks) {
-                if (task.size() >= appData.getTrainedSequenceLength()) {
-                    // Trie must be recreated with a longer sequence length to be sure that
-                    // the found sequences occurring most often are found in their whole length
-                    appData.setTrainedSequenceLength(appData.getTrainedSequenceLength() + 1);
-                    createNewTrie = true;
-                    break;
-                }
-            }
-        }
-        while (createNewTrie);
-        
-        // create a normal trie for comparison
-        /*System.out.println("creating test trie for comparison");
-        
-        appData.getStopWatch().start("testtrie");
-        Trie<ITaskInstance> trie = new Trie<ITaskInstance>(identityTaskComparator);
-        
-        for (IUserSession session : appData.getSessions()) {
-            trie.train(session.getExecutedTasks(), appData.getTrainedSequenceLength());
-        }
-        
-        appData.getStopWatch().stop("testtrie");
-        
-        MaxCountAndLongestTasksFinder finder = new MaxCountAndLongestTasksFinder();
-        trie.process(finder);
-
-        boolean allTasksEqual = finder.getFoundTasks().size() == tasks.size();
-        
-        allTasksEqual &= finder.getFoundTasks().occurrenceCount == tasks.occurrenceCount;
-        
-        for (List<ITaskInstance> task1 : finder.getFoundTasks()) {
-            boolean foundTask = false;
-            for (List<ITaskInstance> task2 : tasks) {
-                boolean tasksEqual = false;
-                if (task1.size() == task2.size()) {
-                    tasksEqual = true;
-                    for (int i = 0; i < task1.size(); i++) {
-                        if (!identityTaskComparator.equals(task1.get(i).getTask(), task2.get(i).getTask()))
-                        {
-                            tasksEqual = false;
-                        }
-                    }
-                }
-                
-                if (tasksEqual) {
-                    foundTask = true;
-                    break;
-                }
-            }
-            
-            if (!foundTask) {
-                System.out.println("different is " + task1);
-                allTasksEqual = false;
-                break;
-            }
-        }
-        
-        if (!allTasksEqual) {
-            System.out.println(finder.getFoundTasks());
-            System.out.println(tasks);
-            
-            throw new IllegalArgumentException("both tries calculated different subsequences");
-        }
-        
-        /*TrieStatisticsDumper dumper = new TrieStatisticsDumper();
-        appData.getLastTrie().process(dumper);
-        dumper.dumpCounters();*/
-        
-        appData.setLastFoundTasks(tasks);
-
-        Console.traceln(Level.FINE, "found " + appData.getLastFoundTasks().size() + " tasks " +
-        		"occurring " + appData.getLastFoundTasks().getOccurrenceCount() + " times");
-    }
-
-    /**
-     * @param appData the rule application data combining all data used for applying this rule
-     */
-    private void createNewTrie(RuleApplicationData appData) {
-        Console.traceln(Level.FINER, "training trie with a maximum sequence length of " +
-                        appData.getTrainedSequenceLength());
-
-        appData.getStopWatch().start("training trie");
-        
-        // we prepared the task instances to refer to unique tasks, if they are treated
-        // as equal. Therefore, we just compare the identity of the tasks of the task
-        // instances
-        appData.setLastTrie(new TaskInstanceTrie(identityTaskHandlingStrategy));
-    
-        appData.getLastTrie().trainSessions
-            (appData.getSessions(), appData.getTrainedSequenceLength());
-        
-        appData.getStopWatch().stop("training trie");
-    }
-
-    /**
-     * @param appData the rule application data combining all data used for applying this rule
-     */
-    private void replaceSequencesOccurringMostOften(RuleApplicationData appData) {
-        appData.detectedAndReplacedTasks(false);
-
-        if ((appData.getLastFoundTasks().size() > 0) &&
-            (appData.getLastFoundTasks().getOccurrenceCount() > 1))
-        {
-            Console.traceln(Level.FINER, "replacing tasks occurrences");
-
-            for (List<ITaskInstance> task : appData.getLastFoundTasks()) {
-                ISequence sequence = taskFactory.createNewSequence();
-                
-                Console.traceln(Level.FINEST, "replacing " + sequence.getId() + ": " + task);
-
-                List<ISequenceInstance> sequenceInstances =
-                    replaceTaskOccurrences(task, appData.getSessions(), sequence);
-                
-                harmonizeSequenceInstancesModel(sequence, sequenceInstances,task.size());
-                appData.detectedAndReplacedTasks
-                    (appData.detectedAndReplacedTasks() || (sequenceInstances.size() > 0));
-
-                if (sequenceInstances.size() < appData.getLastFoundTasks().getOccurrenceCount()) {
-                    Console.traceln(Level.FINE, sequence.getId() + ": replaced task only " +
-                                    sequenceInstances.size() + " times instead of expected " +
-                                    appData.getLastFoundTasks().getOccurrenceCount());
-                }
-            }
-        }
-        
-    }
-
-    /**
+	}
+
+	/**
+	 * <p>
+	 * searches for direct iterations of single tasks in all sequences and
+	 * replaces them with {@link IIteration}s, respectively appropriate
+	 * instances. Also all single occurrences of a task that is iterated
+	 * somewhen are replaced with iterations to have again an efficient way for
+	 * task comparisons.
+	 * </p>
+	 * 
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void detectAndReplaceIterations(RuleApplicationData appData) {
+		Console.traceln(Level.FINE, "detecting iterations");
+		appData.getStopWatch().start("detecting iterations");
+
+		List<IUserSession> sessions = appData.getSessions();
+
+		Set<ITask> iteratedTasks = searchIteratedTasks(sessions);
+
+		if (iteratedTasks.size() > 0) {
+			replaceIterationsOf(iteratedTasks, sessions, appData);
+		}
+
+		appData.getStopWatch().stop("detecting iterations");
+		Console.traceln(Level.INFO, "replaced " + iteratedTasks.size()
+				+ " iterated tasks");
+	}
+
+	/**
+	 * <p>
+	 * searches the provided sessions for task iterations. If a task is
+	 * iterated, it is added to the returned set.
+	 * </p>
+	 * 
+	 * @param the
+	 *            session to search for iterations in
+	 * 
+	 * @return a set of tasks being iterated somewhere
+	 */
+	private Set<ITask> searchIteratedTasks(List<IUserSession> sessions) {
+		Set<ITask> iteratedTasks = new HashSet<ITask>();
+		for (IUserSession session : sessions) {
+			for (int i = 0; i < (session.size() - 1); i++) {
+				// we prepared the task instances to refer to unique tasks, if
+				// they are treated
+				// as equal. Therefore, we just compare the identity of the
+				// tasks of the task
+				// instances
+				if (session.get(i).getTask() == session.get(i + 1).getTask()) {
+					iteratedTasks.add(session.get(i).getTask());
+				}
+			}
+		}
+
+		return iteratedTasks;
+	}
+
+	/**
+	 * <p>
+	 * replaces all occurrences of all tasks provided in the set with iterations
+	 * </p>
+	 * 
+	 * @param iteratedTasks
+	 *            the tasks to be replaced with iterations
+	 * @param sessions
+	 *            the sessions in which the tasks are to be replaced
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void replaceIterationsOf(Set<ITask> iteratedTasks,
+			List<IUserSession> sessions, RuleApplicationData appData) {
+		Map<ITask, IIteration> iterations = new HashMap<ITask, IIteration>();
+		Map<IIteration, List<IIterationInstance>> iterationInstances = new HashMap<IIteration, List<IIterationInstance>>();
+
+		for (ITask iteratedTask : iteratedTasks) {
+			IIteration iteration = taskFactory.createNewIteration();
+			iterations.put(iteratedTask, iteration);
+			iterationInstances.put(iteration,
+					new LinkedList<IIterationInstance>());
+		}
+
+		IIterationInstance iterationInstance;
+
+		for (IUserSession session : sessions) {
+			int index = 0;
+			iterationInstance = null;
+
+			while (index < session.size()) {
+				// we prepared the task instances to refer to unique tasks, if
+				// they are treated
+				// as equal. Therefore, we just compare the identity of the
+				// tasks of the task
+				// instances
+				ITask currentTask = session.get(index).getTask();
+				IIteration iteration = iterations.get(currentTask);
+				if (iteration != null) {
+					if ((iterationInstance == null)
+							|| (iterationInstance.getTask() != iteration)) {
+						iterationInstance = taskFactory
+								.createNewTaskInstance(iteration);
+						iterationInstances.get(iteration)
+								.add(iterationInstance);
+						taskBuilder.addTaskInstance(session, index,
+								iterationInstance);
+						index++;
+					}
+
+					taskBuilder.addChild(iterationInstance, session.get(index));
+					taskBuilder.removeTaskInstance(session, index);
+				} else {
+					if (iterationInstance != null) {
+						iterationInstance = null;
+					}
+					index++;
+				}
+			}
+		}
+
+		for (Map.Entry<IIteration, List<IIterationInstance>> entry : iterationInstances
+				.entrySet()) {
+			harmonizeIterationInstancesModel(entry.getKey(), entry.getValue());
+		}
+	}
+
+	/**
+	 * <p>
+	 * TODO clarify why this is done
+	 * </p>
+	 */
+	private void harmonizeIterationInstancesModel(IIteration iteration,
+			List<IIterationInstance> iterationInstances) {
+		List<ITask> iteratedTaskVariants = new LinkedList<ITask>();
+		TaskInstanceComparator comparator = preparationTaskHandlingStrategy
+				.getTaskComparator();
+
+		// merge the lexically different variants of iterated task to a unique
+		// list
+		for (IIterationInstance iterationInstance : iterationInstances) {
+			for (ITaskInstance executionVariant : iterationInstance) {
+				ITask candidate = executionVariant.getTask();
+
+				boolean found = false;
+				for (ITask taskVariant : iteratedTaskVariants) {
+					if (comparator.areLexicallyEqual(taskVariant, candidate)) {
+						taskBuilder.setTask(executionVariant, taskVariant);
+						found = true;
+						break;
+					}
+				}
+
+				if (!found) {
+					iteratedTaskVariants.add(candidate);
+				}
+			}
+		}
+
+		// if there are more than one lexically different variant of iterated
+		// tasks, adapt the
+		// iteration model to be a selection of different variants. In this case
+		// also adapt
+		// the generated iteration instances to correctly contain selection
+		// instances. If there
+		// is only one variant of an iterated task, simply set this as the
+		// marked task of the
+		// iteration. In this case, the instances can be preserved as is
+		if (iteratedTaskVariants.size() > 1) {
+			ISelection selection = taskFactory.createNewSelection();
+
+			for (ITask variant : iteratedTaskVariants) {
+				taskBuilder.addChild(selection, variant);
+			}
+
+			taskBuilder.setMarkedTask(iteration, selection);
+
+			for (IIterationInstance instance : iterationInstances) {
+				for (int i = 0; i < instance.size(); i++) {
+					ISelectionInstance selectionInstance = taskFactory
+							.createNewTaskInstance(selection);
+					taskBuilder.setChild(selectionInstance, instance.get(i));
+					taskBuilder.setTaskInstance(instance, i, selectionInstance);
+				}
+			}
+		} else {
+			taskBuilder.setMarkedTask(iteration, iteratedTaskVariants.get(0));
+		}
+	}
+
+	/**
+	 * TODO go on commenting
+	 * 
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void detectAndReplaceTasks(RuleApplicationData appData) {
+		Console.traceln(Level.FINE, "detecting and replacing tasks");
+		appData.getStopWatch().start("detecting tasks");
+
+		getSequencesOccuringMostOften(appData);
+
+		appData.getStopWatch().stop("detecting tasks");
+		appData.getStopWatch().start("replacing tasks");
+
+		replaceSequencesOccurringMostOften(appData);
+
+		appData.getStopWatch().stop("replacing tasks");
+		Console.traceln(Level.INFO, "detected and replaced "
+				+ appData.getLastFoundTasks().size() + " tasks occuring "
+				+ appData.getLastFoundTasks().getOccurrenceCount() + " times");
+	}
+
+	/**
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void getSequencesOccuringMostOften(RuleApplicationData appData) {
+		Console.traceln(Level.FINE, "determining most prominent tasks");
+
+		Tasks tasks;
+		boolean createNewTrie = (appData.getLastTrie() == null)
+				|| appData.detectedAndReplacedTasks(); // tree has changed
+
+		do {
+			if (createNewTrie) {
+				createNewTrie(appData);
+			}
+
+			MaxCountAndLongestTasksFinder finder = new MaxCountAndLongestTasksFinder();
+			appData.getLastTrie().process(finder);
+
+			tasks = finder.getFoundTasks();
+
+			createNewTrie = false;
+
+			for (List<ITaskInstance> task : tasks) {
+				if (task.size() >= appData.getTrainedSequenceLength()) {
+					// Trie must be recreated with a longer sequence length to
+					// be sure that
+					// the found sequences occurring most often are found in
+					// their whole length
+					appData.setTrainedSequenceLength(appData
+							.getTrainedSequenceLength() + 1);
+					createNewTrie = true;
+					break;
+				}
+			}
+		} while (createNewTrie);
+
+		// create a normal trie for comparison
+		/*
+		 * System.out.println("creating test trie for comparison");
+		 * 
+		 * appData.getStopWatch().start("testtrie"); Trie<ITaskInstance> trie =
+		 * new Trie<ITaskInstance>(identityTaskComparator);
+		 * 
+		 * for (IUserSession session : appData.getSessions()) {
+		 * trie.train(session.getExecutedTasks(),
+		 * appData.getTrainedSequenceLength()); }
+		 * 
+		 * appData.getStopWatch().stop("testtrie");
+		 * 
+		 * MaxCountAndLongestTasksFinder finder = new
+		 * MaxCountAndLongestTasksFinder(); trie.process(finder);
+		 * 
+		 * boolean allTasksEqual = finder.getFoundTasks().size() ==
+		 * tasks.size();
+		 * 
+		 * allTasksEqual &= finder.getFoundTasks().occurrenceCount ==
+		 * tasks.occurrenceCount;
+		 * 
+		 * for (List<ITaskInstance> task1 : finder.getFoundTasks()) { boolean
+		 * foundTask = false; for (List<ITaskInstance> task2 : tasks) { boolean
+		 * tasksEqual = false; if (task1.size() == task2.size()) { tasksEqual =
+		 * true; for (int i = 0; i < task1.size(); i++) { if
+		 * (!identityTaskComparator.equals(task1.get(i).getTask(),
+		 * task2.get(i).getTask())) { tasksEqual = false; } } }
+		 * 
+		 * if (tasksEqual) { foundTask = true; break; } }
+		 * 
+		 * if (!foundTask) { System.out.println("different is " + task1);
+		 * allTasksEqual = false; break; } }
+		 * 
+		 * if (!allTasksEqual) { System.out.println(finder.getFoundTasks());
+		 * System.out.println(tasks);
+		 * 
+		 * throw new
+		 * IllegalArgumentException("both tries calculated different subsequences"
+		 * ); }
+		 * 
+		 * /*TrieStatisticsDumper dumper = new TrieStatisticsDumper();
+		 * appData.getLastTrie().process(dumper); dumper.dumpCounters();
+		 */
+
+		appData.setLastFoundTasks(tasks);
+
+		Console.traceln(Level.FINE, "found "
+				+ appData.getLastFoundTasks().size() + " tasks " + "occurring "
+				+ appData.getLastFoundTasks().getOccurrenceCount() + " times");
+	}
+
+	/**
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void createNewTrie(RuleApplicationData appData) {
+		Console.traceln(
+				Level.FINER,
+				"training trie with a maximum sequence length of "
+						+ appData.getTrainedSequenceLength());
+
+		appData.getStopWatch().start("training trie");
+
+		// we prepared the task instances to refer to unique tasks, if they are
+		// treated
+		// as equal. Therefore, we just compare the identity of the tasks of the
+		// task
+		// instances
+		appData.setLastTrie(new TaskInstanceTrie(identityTaskHandlingStrategy));
+
+		appData.getLastTrie().trainSessions(appData.getSessions(),
+				appData.getTrainedSequenceLength());
+
+		appData.getStopWatch().stop("training trie");
+	}
+
+	/**
+	 * @param appData
+	 *            the rule application data combining all data used for applying
+	 *            this rule
+	 */
+	private void replaceSequencesOccurringMostOften(RuleApplicationData appData) {
+		appData.detectedAndReplacedTasks(false);
+
+		if ((appData.getLastFoundTasks().size() > 0)
+				&& (appData.getLastFoundTasks().getOccurrenceCount() > 1)) {
+			Console.traceln(Level.FINER, "replacing tasks occurrences");
+
+			for (List<ITaskInstance> task : appData.getLastFoundTasks()) {
+				ISequence sequence = taskFactory.createNewSequence();
+
+				Console.traceln(Level.FINEST, "replacing " + sequence.getId()
+						+ ": " + task);
+
+				List<ISequenceInstance> sequenceInstances = replaceTaskOccurrences(
+						task, appData.getSessions(), sequence);
+
+				harmonizeSequenceInstancesModel(sequence, sequenceInstances,
+						task.size());
+				appData.detectedAndReplacedTasks(appData
+						.detectedAndReplacedTasks()
+						|| (sequenceInstances.size() > 0));
+
+				if (sequenceInstances.size() < appData.getLastFoundTasks()
+						.getOccurrenceCount()) {
+					Console.traceln(Level.FINE,
+							sequence.getId()
+									+ ": replaced task only "
+									+ sequenceInstances.size()
+									+ " times instead of expected "
+									+ appData.getLastFoundTasks()
+											.getOccurrenceCount());
+				}
+			}
+		}
+
+	}
+
+	/**
      *
      */
-    private void harmonizeSequenceInstancesModel(ISequence               sequence,
-                                                 List<ISequenceInstance> sequenceInstances,
-                                                 int                     sequenceLength)
-    {
-        TaskInstanceComparator comparator = preparationTaskHandlingStrategy.getTaskComparator();
-        
-        // ensure for each subtask that lexically different variants are preserved
-        for (int subTaskIndex = 0; subTaskIndex < sequenceLength; subTaskIndex++) {
-            List<ITask> subTaskVariants = new LinkedList<ITask>();
-            
-            for (ISequenceInstance sequenceInstance : sequenceInstances) {
-                ITask candidate = sequenceInstance.get(subTaskIndex).getTask();
-                
-                boolean found = false;
-                
-                for (int i = 0; i < subTaskVariants.size(); i++) {
-                    if (comparator.areLexicallyEqual(subTaskVariants.get(i), candidate)) {
-                        taskBuilder.setTask
-                            (sequenceInstance.get(subTaskIndex), subTaskVariants.get(i));
-                        
-                        found = true;
-                        break;
-                    }
-                }
-                
-                if (!found) {
-                    subTaskVariants.add(candidate);
-                }
-            }
-            
-            // if there are more than one lexically different variant of the sub task at
-            // the considered position, adapt the sequence model at that position to have
-            // a selection of the different variants. In this case also adapt the
-            // generated sequence instances to correctly contain selection instances. If
-            // there is only one variant of sub tasks at the given position, simply set
-            // this variant as the sub task of the selection. In this case, the instances
-            // can be preserved as is
-            if (subTaskVariants.size() > 1) {
-                ISelection selection = taskFactory.createNewSelection();
-                
-                for (ITask variant : subTaskVariants) {
-                    taskBuilder.addChild(selection, variant);
-                }
-                
-                taskBuilder.addChild(sequence, selection);
-                
-                for (ISequenceInstance instance : sequenceInstances) {
-                    ISelectionInstance selectionInstance =
-                        taskFactory.createNewTaskInstance(selection);
-                    taskBuilder.setChild(selectionInstance, instance.get(subTaskIndex));
-                    taskBuilder.setTaskInstance(instance, subTaskIndex, selectionInstance);
-                }
-            }
-            else if (subTaskVariants.size() == 1) {
-                taskBuilder.addChild(sequence, subTaskVariants.get(0));
-            }
-        }
-    }
-
-    /**
-     * @param tree
-     */
-    private List<ISequenceInstance> replaceTaskOccurrences(List<ITaskInstance> task,
-                                                           List<IUserSession>  sessions,
-                                                           ISequence           temporalTaskModel)
-    {
-        List<ISequenceInstance> sequenceInstances = new LinkedList<ISequenceInstance>();
-        
-        for (IUserSession session : sessions) {
-            int index = -1;
-                
-            do {
-                index = getSubListIndex(session, task, ++index);
-
-                if (index > -1) {
-                    sequenceInstances.add
-                        (RuleUtils.createNewSubSequenceInRange
-                             (session, index, index + task.size() - 1, temporalTaskModel,
-                              taskFactory, taskBuilder));
-                }
-            }
-            while (index > -1);
-        }
-        
-        return sequenceInstances;
-    }
-
-    /**
-     * @param trie
-     * @param object
-     * @return
-     */
-    private int getSubListIndex(ITaskInstanceList   list,
-                                List<ITaskInstance> subList,
-                                int                 startIndex)
-    {
-        boolean matchFound;
-        int result = -1;
-        
-        for (int i = startIndex; i <= list.size() - subList.size(); i++) {
-            matchFound = true;
-            
-            for (int j = 0; j < subList.size(); j++) {
-                // we prepared the task instances to refer to unique tasks, if they are treated
-                // as equal. Therefore, we just compare the identity of the tasks of the task
-                // instances
-                if (list.get(i + j).getTask() != subList.get(j).getTask()) {
-                    matchFound = false;
-                    break;
-                }
-            }
-            
-            if (matchFound) {
-                result = i;
-                break;
-            }
-        }
-        
-        return result;
-    }
-
-    /**
-     * @param trie
-     * @param object
-     * @return
-     */
-    private int getSubListIndex(List<ITaskInstance> list,
-                                List<ITaskInstance> subList,
-                                int                 startIndex)
-    {
-        boolean matchFound;
-        int result = -1;
-        
-        for (int i = startIndex; i <= list.size() - subList.size(); i++) {
-            matchFound = true;
-            
-            for (int j = 0; j < subList.size(); j++) {
-                // we prepared the task instances to refer to unique tasks, if they are treated
-                // as equal. Therefore, we just compare the identity of the tasks of the task
-                // instances
-                if (list.get(i + j) != subList.get(j)) {
-                    matchFound = false;
-                    break;
-                }
-            }
-            
-            if (matchFound) {
-                result = i;
-                break;
-            }
-        }
-        
-        return result;
-    }
-    
-    /**
-     * @author Patrick Harms
-     */
-    private class MaxCountAndLongestTasksFinder implements TrieProcessor<ITaskInstance> {
-        
-        /**
+	private void harmonizeSequenceInstancesModel(ISequence sequence,
+			List<ISequenceInstance> sequenceInstances, int sequenceLength) {
+		TaskInstanceComparator comparator = preparationTaskHandlingStrategy
+				.getTaskComparator();
+
+		// ensure for each subtask that lexically different variants are
+		// preserved
+		for (int subTaskIndex = 0; subTaskIndex < sequenceLength; subTaskIndex++) {
+			List<ITask> subTaskVariants = new LinkedList<ITask>();
+
+			for (ISequenceInstance sequenceInstance : sequenceInstances) {
+				ITask candidate = sequenceInstance.get(subTaskIndex).getTask();
+
+				boolean found = false;
+
+				for (int i = 0; i < subTaskVariants.size(); i++) {
+					if (comparator.areLexicallyEqual(subTaskVariants.get(i),
+							candidate)) {
+						taskBuilder.setTask(sequenceInstance.get(subTaskIndex),
+								subTaskVariants.get(i));
+
+						found = true;
+						break;
+					}
+				}
+
+				if (!found) {
+					subTaskVariants.add(candidate);
+				}
+			}
+
+			// if there are more than one lexically different variant of the sub
+			// task at
+			// the considered position, adapt the sequence model at that
+			// position to have
+			// a selection of the different variants. In this case also adapt
+			// the
+			// generated sequence instances to correctly contain selection
+			// instances. If
+			// there is only one variant of sub tasks at the given position,
+			// simply set
+			// this variant as the sub task of the selection. In this case, the
+			// instances
+			// can be preserved as is
+			if (subTaskVariants.size() > 1) {
+				ISelection selection = taskFactory.createNewSelection();
+
+				for (ITask variant : subTaskVariants) {
+					taskBuilder.addChild(selection, variant);
+				}
+
+				taskBuilder.addChild(sequence, selection);
+
+				for (ISequenceInstance instance : sequenceInstances) {
+					ISelectionInstance selectionInstance = taskFactory
+							.createNewTaskInstance(selection);
+					taskBuilder.setChild(selectionInstance,
+							instance.get(subTaskIndex));
+					taskBuilder.setTaskInstance(instance, subTaskIndex,
+							selectionInstance);
+				}
+			} else if (subTaskVariants.size() == 1) {
+				taskBuilder.addChild(sequence, subTaskVariants.get(0));
+			}
+		}
+	}
+
+	/**
+	 * @param tree
+	 */
+	private List<ISequenceInstance> replaceTaskOccurrences(
+			List<ITaskInstance> task, List<IUserSession> sessions,
+			ISequence temporalTaskModel) {
+		List<ISequenceInstance> sequenceInstances = new LinkedList<ISequenceInstance>();
+
+		for (IUserSession session : sessions) {
+			int index = -1;
+
+			do {
+				index = getSubListIndex(session, task, ++index);
+
+				if (index > -1) {
+					sequenceInstances.add(RuleUtils
+							.createNewSubSequenceInRange(session, index, index
+									+ task.size() - 1, temporalTaskModel,
+									taskFactory, taskBuilder));
+				}
+			} while (index > -1);
+		}
+
+		return sequenceInstances;
+	}
+
+	/**
+	 * @param trie
+	 * @param object
+	 * @return
+	 */
+	private int getSubListIndex(ITaskInstanceList list,
+			List<ITaskInstance> subList, int startIndex) {
+		boolean matchFound;
+		int result = -1;
+
+		for (int i = startIndex; i <= list.size() - subList.size(); i++) {
+			matchFound = true;
+
+			for (int j = 0; j < subList.size(); j++) {
+				// we prepared the task instances to refer to unique tasks, if
+				// they are treated
+				// as equal. Therefore, we just compare the identity of the
+				// tasks of the task
+				// instances
+				if (list.get(i + j).getTask() != subList.get(j).getTask()) {
+					matchFound = false;
+					break;
+				}
+			}
+
+			if (matchFound) {
+				result = i;
+				break;
+			}
+		}
+
+		return result;
+	}
+
+	/**
+	 * @param trie
+	 * @param object
+	 * @return
+	 */
+	private int getSubListIndex(List<ITaskInstance> list,
+			List<ITaskInstance> subList, int startIndex) {
+		boolean matchFound;
+		int result = -1;
+
+		for (int i = startIndex; i <= list.size() - subList.size(); i++) {
+			matchFound = true;
+
+			for (int j = 0; j < subList.size(); j++) {
+				// we prepared the task instances to refer to unique tasks, if
+				// they are treated
+				// as equal. Therefore, we just compare the identity of the
+				// tasks of the task
+				// instances
+				if (list.get(i + j) != subList.get(j)) {
+					matchFound = false;
+					break;
+				}
+			}
+
+			if (matchFound) {
+				result = i;
+				break;
+			}
+		}
+
+		return result;
+	}
+
+	/**
+	 * @author Patrick Harms
+	 */
+	private class MaxCountAndLongestTasksFinder implements
+			TrieProcessor<ITaskInstance> {
+
+		/**
          * 
          */
-        private int currentCount;
-        
-        /**
+		private int currentCount;
+
+		/**
          * 
          */
-        private List<List<ITaskInstance>> foundTasks = new LinkedList<List<ITaskInstance>>();
-
-        /**
+		private List<List<ITaskInstance>> foundTasks = new LinkedList<List<ITaskInstance>>();
+
+		/**
          *
          */
-        public MaxCountAndLongestTasksFinder() {
-            super();
-            this.currentCount = 0;
-        }
-
-        /* (non-Javadoc)
-         * @see de.ugoe.cs.autoquest.usageprofiles.TrieProcessor#process(java.util.List, int)
-         */
-        @Override
-        public TrieProcessor.Result process(List<ITaskInstance> foundTask, int count) {
-            if (foundTask.size() < 2) {
-                // ignore single tasks
-                return TrieProcessor.Result.CONTINUE;
-            }
-            
-            if (count < 2) {
-                // ignore singular occurrences
-                return TrieProcessor.Result.SKIP_NODE;
-            }
-
-            if (this.currentCount > count) {
-                // ignore this children of this task, as they may have only smaller counts than
-                // the already found tasks
-                return TrieProcessor.Result.SKIP_NODE;
-            }
-            
-            if (this.currentCount < count) {
-                // the provided task occurs more often that all tasks found so far.
-                // clear all found tasks and use the new count as the one searched for
-                foundTasks.clear();
-                this.currentCount = count;
-            }
-            
-            if (this.currentCount == count) {
-                // the task is of interest. Sort it into the other found tasks so that
-                // the longest come first
-                boolean added = false;
-                for (int i = 0; i < foundTasks.size(); i++) {
-                    if (foundTasks.get(i).size() < foundTask.size()) {
-                        // defensive copy
-                        foundTasks.add(i, new LinkedList<ITaskInstance>(foundTask)); // defensive copy
-                        added = true;
-                        break;
-                    }
-                }
-                
-                if (!added) {
-                    foundTasks.add(new LinkedList<ITaskInstance>(foundTask)); // defensive copy
-                }
-            }
-            
-            return TrieProcessor.Result.CONTINUE;
-        }
-
-        /**
-         *  @return
-         */
-        public Tasks getFoundTasks() {
-            removePermutationsOfShorterTasks();
-            return new Tasks(currentCount, foundTasks);
-        }
-
-        /**
+		public MaxCountAndLongestTasksFinder() {
+			super();
+			this.currentCount = 0;
+		}
+
+		/*
+		 * (non-Javadoc)
+		 * 
+		 * @see
+		 * de.ugoe.cs.autoquest.usageprofiles.TrieProcessor#process(java.util
+		 * .List, int)
+		 */
+		@Override
+		public TrieProcessor.Result process(List<ITaskInstance> foundTask,
+				int count) {
+			if (foundTask.size() < 2) {
+				// ignore single tasks
+				return TrieProcessor.Result.CONTINUE;
+			}
+
+			if (count < 2) {
+				// ignore singular occurrences
+				return TrieProcessor.Result.SKIP_NODE;
+			}
+
+			if (this.currentCount > count) {
+				// ignore this children of this task, as they may have only
+				// smaller counts than
+				// the already found tasks
+				return TrieProcessor.Result.SKIP_NODE;
+			}
+
+			if (this.currentCount < count) {
+				// the provided task occurs more often that all tasks found so
+				// far.
+				// clear all found tasks and use the new count as the one
+				// searched for
+				foundTasks.clear();
+				this.currentCount = count;
+			}
+
+			if (this.currentCount == count) {
+				// the task is of interest. Sort it into the other found tasks
+				// so that
+				// the longest come first
+				boolean added = false;
+				for (int i = 0; i < foundTasks.size(); i++) {
+					if (foundTasks.get(i).size() < foundTask.size()) {
+						// defensive copy
+						foundTasks.add(i, new LinkedList<ITaskInstance>(
+								foundTask)); // defensive copy
+						added = true;
+						break;
+					}
+				}
+
+				if (!added) {
+					foundTasks.add(new LinkedList<ITaskInstance>(foundTask)); // defensive
+																				// copy
+				}
+			}
+
+			return TrieProcessor.Result.CONTINUE;
+		}
+
+		/**
+		 * @return
+		 */
+		public Tasks getFoundTasks() {
+			removePermutationsOfShorterTasks();
+			return new Tasks(currentCount, foundTasks);
+		}
+
+		/**
          *
          */
-        private void removePermutationsOfShorterTasks() {
-            // now iterate the sorted list and for each task remove all other tasks that are shorter
-            // (i.e. come later in the sorted list) and that represent a subpart of the task
-            for (int i = 0; i < foundTasks.size(); i++) {
-                for (int j = i + 1; j < foundTasks.size();) {
-                    if (foundTasks.get(j).size() < foundTasks.get(i).size()) {
-                        // found a task that is a potential subtask. Check for this and remove the
-                        // subtask if needed
-                        List<ITaskInstance> longTask = foundTasks.get(i);
-                        List<ITaskInstance> shortTask = foundTasks.get(j);
-                        
-                        if (getSubListIndex(longTask, shortTask, 0) > -1) {
-                            foundTasks.remove(j);
-                        }
-                        else {
-                            j++;
-                        }
-                    }
-                    else {
-                        j++;
-                    }
-                }
-            }
-        }
-
-    }
-    
-//    /**
-//     * @author Patrick Harms
-//     */
-//    private class TrieStatisticsDumper implements TrieProcessor<ITaskInstance> {
-//        
-//        /**
-//         * 
-//         */
-//        private Map<Integer, Integer> counters = new HashMap<Integer, Integer>();
-//        
-//        /* (non-Javadoc)
-//         * @see de.ugoe.cs.autoquest.usageprofiles.TrieProcessor#process(java.util.List, int)
-//         */
-//        @Override
-//        public TrieProcessor.Result process(List<ITaskInstance> subsequence, int count) {
-//            if (subsequence.size() == 1) {
-//                Integer value = counters.get(count);
-//                
-//                if (value == null) {
-//                    value = 0;
-//                }
-//                
-//                counters.put(count, value + 1);
-//                
-//                return TrieProcessor.Result.CONTINUE;
-//            }
-//            else {
-//                // ignore singular occurrences
-//                return TrieProcessor.Result.SKIP_NODE;
-//            }
-//        }
-//
-//        /**
-//         *  @return
-//         */
-//        public void dumpCounters() {
-//            int dumpedCounters = 0;
-//            
-//            int count = 1;
-//            while (dumpedCounters < counters.size()) {
-//                Integer value = counters.get(count++);
-//                if (value != null) {
-//                    System.out.println(value + " symbols occurred " + count + " times");
-//                    dumpedCounters++;
-//                }
-//            }
-//        }
-//
-//    }
-    
-    /**
+		private void removePermutationsOfShorterTasks() {
+			// now iterate the sorted list and for each task remove all other
+			// tasks that are shorter
+			// (i.e. come later in the sorted list) and that represent a subpart
+			// of the task
+			for (int i = 0; i < foundTasks.size(); i++) {
+				for (int j = i + 1; j < foundTasks.size();) {
+					if (foundTasks.get(j).size() < foundTasks.get(i).size()) {
+						// found a task that is a potential subtask. Check for
+						// this and remove the
+						// subtask if needed
+						List<ITaskInstance> longTask = foundTasks.get(i);
+						List<ITaskInstance> shortTask = foundTasks.get(j);
+
+						if (getSubListIndex(longTask, shortTask, 0) > -1) {
+							foundTasks.remove(j);
+						} else {
+							j++;
+						}
+					} else {
+						j++;
+					}
+				}
+			}
+		}
+
+	}
+
+	// /**
+	// * @author Patrick Harms
+	// */
+	// private class TrieStatisticsDumper implements
+	// TrieProcessor<ITaskInstance> {
+	//
+	// /**
+	// *
+	// */
+	// private Map<Integer, Integer> counters = new HashMap<Integer, Integer>();
+	//
+	// /* (non-Javadoc)
+	// * @see
+	// de.ugoe.cs.autoquest.usageprofiles.TrieProcessor#process(java.util.List,
+	// int)
+	// */
+	// @Override
+	// public TrieProcessor.Result process(List<ITaskInstance> subsequence, int
+	// count) {
+	// if (subsequence.size() == 1) {
+	// Integer value = counters.get(count);
+	//
+	// if (value == null) {
+	// value = 0;
+	// }
+	//
+	// counters.put(count, value + 1);
+	//
+	// return TrieProcessor.Result.CONTINUE;
+	// }
+	// else {
+	// // ignore singular occurrences
+	// return TrieProcessor.Result.SKIP_NODE;
+	// }
+	// }
+	//
+	// /**
+	// * @return
+	// */
+	// public void dumpCounters() {
+	// int dumpedCounters = 0;
+	//
+	// int count = 1;
+	// while (dumpedCounters < counters.size()) {
+	// Integer value = counters.get(count++);
+	// if (value != null) {
+	// System.out.println(value + " symbols occurred " + count + " times");
+	// dumpedCounters++;
+	// }
+	// }
+	// }
+	//
+	// }
+
+	/**
      * 
      */
-    private static class RuleApplicationData {
-        
-        /**
+	private static class RuleApplicationData {
+
+		/**
          * 
          */
-        private List<IUserSession> sessions;
-        
-        /**
+		private List<IUserSession> sessions;
+
+		/**
          * 
          */
-        private TaskInstanceTrie lastTrie;
-        
-        /**
-         * default and minimum trained sequence length is 3
-         */
-        private int trainedSequenceLength = 3;
-        
-        /**
+		private TaskInstanceTrie lastTrie;
+
+		/**
+		 * default and minimum trained sequence length is 3
+		 */
+		private int trainedSequenceLength = 3;
+
+		/**
          * 
          */
-        private Tasks lastFoundTasks = new Tasks(Integer.MAX_VALUE, null);
-        
-        /**
+		private Tasks lastFoundTasks = new Tasks(Integer.MAX_VALUE, null);
+
+		/**
          * 
          */
-        private boolean detectedAndReplacedTasks;
-        
-        /**
+		private boolean detectedAndReplacedTasks;
+
+		/**
          * 
          */
-        private RuleApplicationResult result = new RuleApplicationResult();
-        
-        /**
+		private RuleApplicationResult result = new RuleApplicationResult();
+
+		/**
          * 
          */
-        private StopWatch stopWatch = new StopWatch();
-        
-        /**
+		private StopWatch stopWatch = new StopWatch();
+
+		/**
          * 
          */
-        private RuleApplicationData(List<IUserSession> sessions) {
-            this.sessions = sessions;
-        }
-
-        /**
-         * @return the tree
-         */
-        private List<IUserSession> getSessions() {
-            return sessions;
-        }
-
-        /**
-         * @param lastTrie the lastTrie to set
-         */
-        private void setLastTrie(TaskInstanceTrie lastTrie) {
-            this.lastTrie = lastTrie;
-        }
-
-        /**
-         * @return the lastTrie
-         */
-        private TaskInstanceTrie getLastTrie() {
-            return lastTrie;
-        }
-
-        /**
-         * @param trainedSequenceLength the trainedSequenceLength to set
-         */
-        private void setTrainedSequenceLength(int trainedSequenceLength) {
-            this.trainedSequenceLength = trainedSequenceLength;
-        }
-
-        /**
-         * @return the trainedSequenceLength
-         */
-        private int getTrainedSequenceLength() {
-            return trainedSequenceLength;
-        }
-
-        /**
-         * @param lastFoundSequences the lastFoundSequences to set
-         */
-        private void setLastFoundTasks(Tasks lastFoundSequences) {
-            this.lastFoundTasks = lastFoundSequences;
-        }
-
-        /**
-         * @return the lastFoundSequences
-         */
-        private Tasks getLastFoundTasks() {
-            return lastFoundTasks;
-        }
-
-        /**
+		private RuleApplicationData(List<IUserSession> sessions) {
+			this.sessions = sessions;
+		}
+
+		/**
+		 * @return the tree
+		 */
+		private List<IUserSession> getSessions() {
+			return sessions;
+		}
+
+		/**
+		 * @param lastTrie
+		 *            the lastTrie to set
+		 */
+		private void setLastTrie(TaskInstanceTrie lastTrie) {
+			this.lastTrie = lastTrie;
+		}
+
+		/**
+		 * @return the lastTrie
+		 */
+		private TaskInstanceTrie getLastTrie() {
+			return lastTrie;
+		}
+
+		/**
+		 * @param trainedSequenceLength
+		 *            the trainedSequenceLength to set
+		 */
+		private void setTrainedSequenceLength(int trainedSequenceLength) {
+			this.trainedSequenceLength = trainedSequenceLength;
+		}
+
+		/**
+		 * @return the trainedSequenceLength
+		 */
+		private int getTrainedSequenceLength() {
+			return trainedSequenceLength;
+		}
+
+		/**
+		 * @param lastFoundSequences
+		 *            the lastFoundSequences to set
+		 */
+		private void setLastFoundTasks(Tasks lastFoundSequences) {
+			this.lastFoundTasks = lastFoundSequences;
+		}
+
+		/**
+		 * @return the lastFoundSequences
+		 */
+		private Tasks getLastFoundTasks() {
+			return lastFoundTasks;
+		}
+
+		/**
          *
          */
-        private void detectedAndReplacedTasks(boolean detectedAndReplacedTasks) {
-            this.detectedAndReplacedTasks = detectedAndReplacedTasks;
-        }
-
-        /**
+		private void detectedAndReplacedTasks(boolean detectedAndReplacedTasks) {
+			this.detectedAndReplacedTasks = detectedAndReplacedTasks;
+		}
+
+		/**
          *
          */
-        private boolean detectedAndReplacedTasks() {
-            return detectedAndReplacedTasks;
-        }
-        
-        /**
-         * @return the result
-         */
-        private RuleApplicationResult getResult() {
-            return result;
-        }
-
-        /**
-         * @return the stopWatch
-         */
-        private StopWatch getStopWatch() {
-            return stopWatch;
-        }
-
-    }
-    
-
-    /**
-     * @author Patrick Harms
-     */
-    private static class Tasks implements Iterable<List<ITaskInstance>> {
-        
-        /**
+		private boolean detectedAndReplacedTasks() {
+			return detectedAndReplacedTasks;
+		}
+
+		/**
+		 * @return the result
+		 */
+		private RuleApplicationResult getResult() {
+			return result;
+		}
+
+		/**
+		 * @return the stopWatch
+		 */
+		private StopWatch getStopWatch() {
+			return stopWatch;
+		}
+
+	}
+
+	/**
+	 * @author Patrick Harms
+	 */
+	private static class Tasks implements Iterable<List<ITaskInstance>> {
+
+		/**
          * 
          */
-        private int occurrenceCount;
-        
-        /**
+		private int occurrenceCount;
+
+		/**
          * 
          */
-        private List<List<ITaskInstance>> sequences;
-
-        /**
-         * @param occurrenceCount
-         * @param sequences
-         */
-        private Tasks(int occurrenceCount, List<List<ITaskInstance>> sequences) {
-            super();
-            this.occurrenceCount = occurrenceCount;
-            this.sequences = sequences;
-        }
-
-        /**
-         * @return
-         */
-        private int getOccurrenceCount() {
-            return occurrenceCount;
-        }
-
-        /**
-         * @return
-         */
-        private int size() {
-            return this.sequences.size();
-        }
-
-        /**
+		private List<List<ITaskInstance>> sequences;
+
+		/**
+		 * @param occurrenceCount
+		 * @param sequences
+		 */
+		private Tasks(int occurrenceCount, List<List<ITaskInstance>> sequences) {
+			super();
+			this.occurrenceCount = occurrenceCount;
+			this.sequences = sequences;
+		}
+
+		/**
+		 * @return
+		 */
+		private int getOccurrenceCount() {
+			return occurrenceCount;
+		}
+
+		/**
+		 * @return
+		 */
+		private int size() {
+			return this.sequences.size();
+		}
+
+		/**
          * 
          */
 
-        /* (non-Javadoc)
-         * @see java.lang.Iterable#iterator()
-         */
-        @Override
-        public Iterator<List<ITaskInstance>> iterator() {
-            return this.sequences.iterator();
-        }
-
-        /* (non-Javadoc)
-         * @see java.lang.Object#toString()
-         */
-        @Override
-        public String toString() {
-            StringBuffer result = new StringBuffer();
-            result.append(this.occurrenceCount);
-            result.append(" occurrences:\n");
-            
-            for (List<ITaskInstance> task : sequences) {
-                result.append(task);
-                result.append("\n");
-            }
-            
-            return result.toString();
-        }
-
-    }
-    
-    // methods for internal testing
-//    private void checkMatchingOfSessions(List<List<Event>>  flattenedSessions,
-//                                         List<IUserSession> sessions,
-//                                         String             when)
-//    {
-//        List<List<Event>> currentFlattenedSessions = flattenSessions(sessions);
-//        if (flattenedSessions.size() != currentFlattenedSessions.size()) {
-//            System.out.println("################## number of sessions changed after " + when);
-//        }
-//        else {
-//            for (int i = 0; i < flattenedSessions.size(); i++) {
-//                List<Event> expected = flattenedSessions.get(i);
-//                List<Event> current = currentFlattenedSessions.get(i);
-//            
-//                if (expected.size() != current.size()) {
-//                    System.out.println
-//                        ("################## length of session " + i + " changed after " + when);
-//                }
-//                else {
-//                    for (int j = 0; j < expected.size(); j++) {
-//                        if (!expected.get(j).equals(current.get(j))) {
-//                            System.out.println("################## event " + j + " of session " +
-//                                               i + " changed after " + when);
-//                        }
-//                    }
-//                }
-//            }     
-//        }
-//    }
-//
-//    private List<List<Event>> flattenSessions(List<IUserSession> sessions) {
-//        List<List<Event>> flattenedSessions = new ArrayList<List<Event>>();
-//        for (IUserSession session : sessions) {
-//            List<Event> flattenedUserSession = new ArrayList<Event>();
-//            flatten(session, flattenedUserSession);
-//            flattenedSessions.add(flattenedUserSession);
-//        }
-//
-//        return flattenedSessions;
-//    }
-//
-//    private void flatten(IUserSession iUserSession, List<Event> flattenedUserSession) {
-//        for (ITaskInstance instance : iUserSession) {
-//            flatten(instance, flattenedUserSession);
-//        }
-//    }
-//
-//    private void flatten(ITaskInstance instance, List<Event> flattenedUserSession) {
-//        if (instance instanceof ITaskInstanceList) {
-//            for (ITaskInstance child : (ITaskInstanceList) instance) {
-//                flatten(child, flattenedUserSession);
-//            }
-//        }
-//        else if (instance instanceof ISelectionInstance) {
-//            flatten(((ISelectionInstance) instance).getChild(), flattenedUserSession);
-//        }
-//        else if (instance instanceof IOptionalInstance) {
-//            flatten(((IOptionalInstance) instance).getChild(), flattenedUserSession);
-//        }
-//        else if (instance instanceof IEventTaskInstance) {
-//            flattenedUserSession.add(((IEventTaskInstance) instance).getEvent());
-//        }
-//    }
+		/*
+		 * (non-Javadoc)
+		 * 
+		 * @see java.lang.Iterable#iterator()
+		 */
+		@Override
+		public Iterator<List<ITaskInstance>> iterator() {
+			return this.sequences.iterator();
+		}
+
+		/*
+		 * (non-Javadoc)
+		 * 
+		 * @see java.lang.Object#toString()
+		 */
+		@Override
+		public String toString() {
+			StringBuffer result = new StringBuffer();
+			result.append(this.occurrenceCount);
+			result.append(" occurrences:\n");
+
+			for (List<ITaskInstance> task : sequences) {
+				result.append(task);
+				result.append("\n");
+			}
+
+			return result.toString();
+		}
+
+	}
+
+	// methods for internal testing
+	// private void checkMatchingOfSessions(List<List<Event>> flattenedSessions,
+	// List<IUserSession> sessions,
+	// String when)
+	// {
+	// List<List<Event>> currentFlattenedSessions = flattenSessions(sessions);
+	// if (flattenedSessions.size() != currentFlattenedSessions.size()) {
+	// System.out.println("################## number of sessions changed after "
+	// + when);
+	// }
+	// else {
+	// for (int i = 0; i < flattenedSessions.size(); i++) {
+	// List<Event> expected = flattenedSessions.get(i);
+	// List<Event> current = currentFlattenedSessions.get(i);
+	//
+	// if (expected.size() != current.size()) {
+	// System.out.println
+	// ("################## length of session " + i + " changed after " + when);
+	// }
+	// else {
+	// for (int j = 0; j < expected.size(); j++) {
+	// if (!expected.get(j).equals(current.get(j))) {
+	// System.out.println("################## event " + j + " of session " +
+	// i + " changed after " + when);
+	// }
+	// }
+	// }
+	// }
+	// }
+	// }
+	//
+	// private List<List<Event>> flattenSessions(List<IUserSession> sessions) {
+	// List<List<Event>> flattenedSessions = new ArrayList<List<Event>>();
+	// for (IUserSession session : sessions) {
+	// List<Event> flattenedUserSession = new ArrayList<Event>();
+	// flatten(session, flattenedUserSession);
+	// flattenedSessions.add(flattenedUserSession);
+	// }
+	//
+	// return flattenedSessions;
+	// }
+	//
+	// private void flatten(IUserSession iUserSession, List<Event>
+	// flattenedUserSession) {
+	// for (ITaskInstance instance : iUserSession) {
+	// flatten(instance, flattenedUserSession);
+	// }
+	// }
+	//
+	// private void flatten(ITaskInstance instance, List<Event>
+	// flattenedUserSession) {
+	// if (instance instanceof ITaskInstanceList) {
+	// for (ITaskInstance child : (ITaskInstanceList) instance) {
+	// flatten(child, flattenedUserSession);
+	// }
+	// }
+	// else if (instance instanceof ISelectionInstance) {
+	// flatten(((ISelectionInstance) instance).getChild(),
+	// flattenedUserSession);
+	// }
+	// else if (instance instanceof IOptionalInstance) {
+	// flatten(((IOptionalInstance) instance).getChild(), flattenedUserSession);
+	// }
+	// else if (instance instanceof IEventTaskInstance) {
+	// flattenedUserSession.add(((IEventTaskInstance) instance).getEvent());
+	// }
+	// }
 
 }
