further refactoring, renaming. Added dynamic parameter visualization to GUI.

src/main/java/de/wwwu/awolf/model/communication/AlgorithmMessage.java

@@ -1,9 +1,9 @@
 package de.wwwu.awolf.model.communication;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 
-public class AlgorithmData implements Data {
+public class AlgorithmMessage implements Message {
 
     private SubscriberType type;
     private Algorithm.Type algorithmType;

src/main/java/de/wwwu/awolf/model/communication/DataProviderMessage.java

@@ -1,12 +1,12 @@
 package de.wwwu.awolf.model.communication;
 
-public class TypeData implements Data {
+public class DataProviderMessage implements Message {
 
     private SubscriberType type;
 
     @Override
     public SubscriberType getType() {
-        return type;
+        return this.type;
     }
 
     @Override

src/main/java/de/wwwu/awolf/model/communication/EvaluationMessage.java

@@ -5,7 +5,7 @@ import java.io.Serializable;
 import java.util.List;
 import java.util.Map;
 
-public class EvaluationData implements Data {
+public class EvaluationMessage implements Message {
 
     private SubscriberType type;
     private List<Algorithm.Type> algorithmtypes;

src/main/java/de/wwwu/awolf/model/communication/GeneratorData.java

@@ -1,43 +0,0 @@
-package de.wwwu.awolf.model.communication;
-
-public class GeneratorData implements Data {
-
-    private SubscriberType type;
-    private String message;
-    private double m;
-    private double b;
-
-    public double getM() {
-        return m;
-    }
-
-    public void setM(double m) {
-        this.m = m;
-    }
-
-    public double getB() {
-        return b;
-    }
-
-    public void setB(double b) {
-        this.b = b;
-    }
-
-    public String getMessage() {
-        return message;
-    }
-
-    public void setMessage(String message) {
-        this.message = message;
-    }
-
-    @Override
-    public SubscriberType getType() {
-        return type;
-    }
-
-    @Override
-    public void setType(SubscriberType type) {
-        this.type = type;
-    }
-}

src/main/java/de/wwwu/awolf/model/communication/ImportData.java

@@ -1,34 +0,0 @@
-package de.wwwu.awolf.model.communication;
-
-public class ImportData implements Data {
-
-    private SubscriberType type;
-    private int numberOfLines;
-    private int current;
-
-    @Override
-    public SubscriberType getType() {
-        return type;
-    }
-
-    @Override
-    public void setType(SubscriberType type) {
-        this.type = type;
-    }
-
-    public int getNumberOfLines() {
-        return numberOfLines;
-    }
-
-    public void setNumberOfLines(int numberOfLines) {
-        this.numberOfLines = numberOfLines;
-    }
-
-    public int getCurrent() {
-        return current;
-    }
-
-    public void setCurrent(int current) {
-        this.current = current;
-    }
-}

src/main/java/de/wwwu/awolf/model/communication/Message.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.model.communication;
 
-public interface Data {
+public interface Message {
 
     SubscriberType getType();
 

src/main/java/de/wwwu/awolf/model/communication/SubscriberType.java

@@ -2,12 +2,7 @@ package de.wwwu.awolf.model.communication;
 
 public enum SubscriberType {
 
-    EVAL_D,
+    EVALUATION,
-    EVALUATION_TABLE_DATA,
-    EVAL_T,
-    LINES_RES,
-    LINES_RES_MULT,
     ALGORITHM,
-    PICTURE,
+    DATA_PROVIDER
-    GENERATOR
 }

src/main/java/de/wwwu/awolf/model/dao/Interval.java

@@ -1,4 +1,4 @@
-package de.wwwu.awolf.model;
+package de.wwwu.awolf.model.dao;
 
 /**
  * Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.

src/main/java/de/wwwu/awolf/model/dao/Line.java

@@ -1,4 +1,4 @@
-package de.wwwu.awolf.model;
+package de.wwwu.awolf.model.dao;
 
 import java.util.Objects;
 import org.apache.commons.math3.util.Precision;

src/main/java/de/wwwu/awolf/model/dao/LineModel.java

@@ -1,4 +1,4 @@
-package de.wwwu.awolf.model;
+package de.wwwu.awolf.model.dao;
 
 import java.util.HashSet;
 import java.util.Set;

src/main/java/de/wwwu/awolf/model/dao/Pair.java

@@ -1,4 +1,4 @@
-package de.wwwu.awolf.model;
+package de.wwwu.awolf.model.dao;
 
 /**
  * Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.

src/main/java/de/wwwu/awolf/model/dao/Point.java

@@ -1,4 +1,4 @@
-package de.wwwu.awolf.model;
+package de.wwwu.awolf.model.dao;
 
 import java.util.Objects;
 import org.apache.commons.math3.util.Precision;

src/main/java/de/wwwu/awolf/model/evaluation/ComparisonResult.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.model.evaluation;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import java.util.EnumMap;
 import java.util.Map;

src/main/java/de/wwwu/awolf/presenter/AbstractPresenter.java

@@ -1,8 +1,8 @@
 package de.wwwu.awolf.presenter;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.LineModel;
+import de.wwwu.awolf.model.dao.LineModel;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import de.wwwu.awolf.presenter.algorithms.AlgorithmHandler;
 import de.wwwu.awolf.presenter.data.DataHandler;
@@ -24,7 +24,7 @@ import javafx.beans.property.BooleanProperty;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 10.09.2017.
  */
-public abstract class AbstractPresenter implements Flow.Subscriber<Data> {
+public abstract class AbstractPresenter implements Flow.Subscriber<Message> {
 
     private final ExecutorService executor;
     private LineModel model;
@@ -56,25 +56,23 @@ public abstract class AbstractPresenter implements Flow.Subscriber<Data> {
 
 
     @Override
-    public void onNext(Data data) {
+    public void onNext(Message message) {
-        Logging.logDebug("Presenter received message. Type: " + data.getType());
+        Logging.logDebug("Presenter received message. Type: " + message.getType());
-        switch (data.getType()) {
+        switch (message.getType()) {
-            case EVALUATION_TABLE_DATA:
+            case EVALUATION:
-                evaluatedDatas(data);
+                evaluatedDatas(message);
                 break;
             case ALGORITHM:
-                visualizeAlgorithm(data);
+                visualizeAlgorithm(message);
+                break;
+            case DATA_PROVIDER:
+                enableStartAlgorithmButton();
                 break;
             default:
                 break;
         }
     }
 
-    protected abstract void visualizeAlgorithm(Data data);
-
-    protected abstract void evaluatedDatas(Data data);
-
-
     @Override
     public void onError(Throwable throwable) {
 
@@ -121,23 +119,14 @@ public abstract class AbstractPresenter implements Flow.Subscriber<Data> {
         }
     }
 
-    /**
-     * @return das zu grunde legende Modell
-     */
     public LineModel getModel() {
         return model;
     }
 
-    /**
-     * @return die zu grunde legende View
-     */
     public ViewController getView() {
         return view;
     }
 
-    /**
-     * @param view die zu grunde legende View
-     */
     public void registerView(ViewController view) {
         this.view = view;
         Logging.logDebug("View has been set.");
@@ -146,9 +135,6 @@ public abstract class AbstractPresenter implements Flow.Subscriber<Data> {
         Platform.runLater(() -> this.view.initGui());
     }
 
-    /**
-     * @return Evaluation
-     */
     EvaluatationHandler getEvaluatationHandler() {
         return evaluatationHandler;
     }
@@ -157,12 +143,17 @@ public abstract class AbstractPresenter implements Flow.Subscriber<Data> {
         return dataHandler;
     }
 
-    /**
-     * Returns the instance of the ExecutorService
-     *
-     * @return ExecutorService instance
-     */
     public ExecutorService getExecutor() {
         return Objects.requireNonNullElseGet(executor, Executors::newCachedThreadPool);
     }
+
+    public AlgorithmHandler getAlgorithmHandler() {
+        return algorithmHandler;
+    }
+
+    protected abstract void enableStartAlgorithmButton();
+
+    protected abstract void visualizeAlgorithm(Message message);
+
+    protected abstract void evaluatedDatas(Message message);
 }

src/main/java/de/wwwu/awolf/presenter/Presenter.java

@@ -1,16 +1,14 @@
 package de.wwwu.awolf.presenter;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.Message;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.communication.EvaluationData;
 import de.wwwu.awolf.presenter.data.DataHandler;
 import de.wwwu.awolf.presenter.evaluation.EvaluatationHandler;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.io.File;
 import java.util.Set;
 import javafx.application.Platform;
-import javax.swing.SwingUtilities;
 
 
 /**
@@ -28,6 +26,11 @@ public class Presenter extends AbstractPresenter {
         super();
     }
 
+    /**
+     * Singleton access method
+     *
+     * @return instance
+     */
     public static Presenter getInstance() {
         if (instance == null) {
             instance = new Presenter();
@@ -37,26 +40,25 @@ public class Presenter extends AbstractPresenter {
     }
 
     @Override
-    protected void visualizeAlgorithm(Data data) {
+    protected void enableStartAlgorithmButton() {
-        AlgorithmData algorithmData = (AlgorithmData) data;
+        Platform.runLater(() -> getView().getAlgorithmTabControllers().values().forEach(tab -> tab.getStartButton().setDisable(false)));
-
-        Platform.runLater(() -> getView().getAlgorithmTabControllers().get(algorithmData.getAlgorithmType()).updatePlot(getModel(), algorithmData.getLineData())
-        );
-        Logging.logInfo("Type: " + algorithmData.getType() + ". Result: " + algorithmData.getLineData().toString());
     }
 
     @Override
-    protected void evaluatedDatas(Data data) {
+    protected void visualizeAlgorithm(Message message) {
-        EvaluationData evaluationData = (EvaluationData) data;
+        AlgorithmMessage algorithmMessage = (AlgorithmMessage) message;
-        SwingUtilities
+        Platform.runLater(() -> getView().getAlgorithmTabControllers().get(algorithmMessage.getAlgorithmType()).updatePlot(getModel(), algorithmMessage.getLineData()));
-            .invokeLater(
+        Logging.logInfo("Type: " + algorithmMessage.getType() + ". Result: " + algorithmMessage.getLineData().toString());
-                () -> getView().appendEvalResults(evaluationData.getMultipleColumnResult()));
     }
 
-    /***************************************************************************************************************************
+    @Override
-     *                                          Hilfsmethoden
+    protected void evaluatedDatas(Message message) {
-     ***************************************************************************************************************************/
+        //TODO
-
+//        EvaluationData evaluationData = (EvaluationData) data;
+//        SwingUtilities
+//            .invokeLater(
+//                () -> getView().appendEvalResults(evaluationData.getMultipleColumnResult()));
+    }
 
     /**
      * Startet den Export des akteullen Datensatzes (nur der Geraden)
@@ -87,8 +89,7 @@ public class Presenter extends AbstractPresenter {
         getModel().setLines(data);
         //Berechnung der Schnittpunkte und vis. der Ergebnisse (anz. Geraden, anz. Schnittpunkte)
         Logging.logInfo("Import was successful! ");
-        Platform.runLater(() -> getView().getAlgorithmTabControllers().values().forEach(e -> e.updatePlot(getModel(), null))
+        Platform.runLater(() -> getView().getAlgorithmTabControllers().values().forEach(e -> e.updatePlot(getModel(), null)));
-        );
         return data;
     }
 
@@ -102,8 +103,7 @@ public class Presenter extends AbstractPresenter {
         Set<Line> data = getDataHandler().getData(type, n);
         getModel().setLines(data);
         Logging.logInfo("Generate was successful!");
-        Platform.runLater(() -> getView().getAlgorithmTabControllers().values().forEach(e -> e.updatePlot(getModel(), null))
+        Platform.runLater(() -> getView().getAlgorithmTabControllers().values().forEach(e -> e.updatePlot(getModel(), null)));
-        );
         return data;
     }
 

src/main/java/de/wwwu/awolf/presenter/algorithms/Algorithm.java

@@ -1,8 +1,9 @@
 package de.wwwu.awolf.presenter.algorithms;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.communication.Message;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.AbstractPresenter;
+import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.Callable;
 import java.util.concurrent.Flow;
@@ -14,7 +15,7 @@ import java.util.concurrent.Flow;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 28.05.2017.
  */
-public interface Algorithm extends Callable<Line>, Flow.Publisher<Data> {
+public interface Algorithm extends Callable<Line>, Flow.Publisher<Message> {
 
     /**
      * Startet die Berechnung des jeweiligen Algorithmus.
@@ -28,6 +29,10 @@ public interface Algorithm extends Callable<Line>, Flow.Publisher<Data> {
 
     void setPresenter(AbstractPresenter presenter);
 
+    Map<String, Object> getParameter();
+
+    void setParameter(Map<String, Object> parameter);
+
     enum Type {
         LMS("Least Median of Squares"),
         RM("Repeated Median"),

src/main/java/de/wwwu/awolf/presenter/algorithms/AlgorithmHandler.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.algorithms;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.Presenter;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.util.EnumMap;
@@ -17,6 +17,7 @@ public class AlgorithmHandler {
 
     private static AlgorithmHandler instance;
     private Map<Algorithm.Type, Algorithm> algorithmMapping;
+    private Map<Algorithm.Type, Map<String, Object>> algorithmParameters;
 
 
     private AlgorithmHandler() {
@@ -88,10 +89,15 @@ public class AlgorithmHandler {
         ServiceLoader<Algorithm> load = ServiceLoader.load(Algorithm.class);
         load.reload();
         algorithmMapping = new EnumMap<>(Algorithm.Type.class);
+        algorithmParameters = new EnumMap<>(Algorithm.Type.class);
         load.forEach(algorithm -> {
             algorithmMapping.put(algorithm.getType(), algorithm);
+            algorithmParameters.put(algorithm.getType(), algorithm.getParameter());
             Logging.logDebug("Found: " + algorithm.getClass().getSimpleName());
         });
     }
 
+    public Map<String, Object> getAlgorithmParametersByType(Algorithm.Type type) {
+        return algorithmParameters.get(type);
+    }
 }

src/main/java/de/wwwu/awolf/presenter/algorithms/advanced/LeastMedianOfSquaresEstimator.java

@@ -1,10 +1,10 @@
 package de.wwwu.awolf.presenter.algorithms.advanced;
 
-import de.wwwu.awolf.model.Interval;
+import de.wwwu.awolf.model.dao.Interval;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.Point;
+import de.wwwu.awolf.model.dao.Point;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
@@ -14,8 +14,10 @@ import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;
 import java.util.Comparator;
+import java.util.HashMap;
 import java.util.LinkedList;
 import java.util.List;
+import java.util.Map;
 import java.util.PriorityQueue;
 import java.util.Queue;
 import java.util.Set;
@@ -43,11 +45,21 @@ public class LeastMedianOfSquaresEstimator implements Algorithm {
     private Line sigmaMin;
     private double heightsigmaMin;
     private double intersectionsPoint;
-    private double constant = 0.5;
+    private double constant;
 
     private double slope;
     private double yInterception;
-    private Flow.Subscriber<? super AlgorithmData> subscriber;
+    private Flow.Subscriber<? super AlgorithmMessage> subscriber;
+    private Map<String, Object> parameter;
+
+    public LeastMedianOfSquaresEstimator() {
+        quantileError = 0.1;
+        constant = 0.5;
+
+        parameter = new HashMap<>();
+        parameter.put("Quantile Error", quantileError);
+        parameter.put("Constant", constant);
+    }
 
     /**
      * Algorithmus zum berechnen des LMS-Schätzers
@@ -57,9 +69,9 @@ public class LeastMedianOfSquaresEstimator implements Algorithm {
      */
     @Override
     public Line call() {
+
         this.n = setOfLines.size();
         double qPlus = 0.5;
-        quantileError = 0.1;
         double qMinus = qPlus * (1 - quantileError);
         kMinus = (int) Math.ceil(n * qMinus);
         kPlus = (int) Math.ceil(n * qPlus);
@@ -155,6 +167,16 @@ public class LeastMedianOfSquaresEstimator implements Algorithm {
         subscribe(presenter);
     }
 
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
+
 
     /**
      * Liefert die Anzahl der Schnittpunkte in einem Intervall
@@ -373,7 +395,7 @@ public class LeastMedianOfSquaresEstimator implements Algorithm {
             slope = m;
             yInterception = b;
 
-            AlgorithmData data = new AlgorithmData();
+            AlgorithmMessage data = new AlgorithmMessage();
             data.setAlgorithmType(getType());
             data.setType(SubscriberType.ALGORITHM);
             data.setLineData(new Line(m, b));
@@ -460,7 +482,7 @@ public class LeastMedianOfSquaresEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
 

src/main/java/de/wwwu/awolf/presenter/algorithms/advanced/RepeatedMedianEstimator.java

@@ -1,10 +1,10 @@
 package de.wwwu.awolf.presenter.algorithms.advanced;
 
-import de.wwwu.awolf.model.Interval;
+import de.wwwu.awolf.model.dao.Interval;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.Point;
+import de.wwwu.awolf.model.dao.Point;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
@@ -14,9 +14,11 @@ import de.wwwu.awolf.presenter.util.Logging;
 import de.wwwu.awolf.presenter.util.RandomSampler;
 import java.util.ArrayList;
 import java.util.Collections;
+import java.util.HashMap;
 import java.util.HashSet;
 import java.util.LinkedList;
 import java.util.List;
+import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.Flow;
 
@@ -57,8 +59,15 @@ public class RepeatedMedianEstimator implements Algorithm {
 
     private double slope;
     private double yInterception;
-    private Flow.Subscriber<? super AlgorithmData> subscriber;
+    private Flow.Subscriber<? super AlgorithmMessage> subscriber;
+    private Map<String, Object> parameter;
 
+    public RepeatedMedianEstimator() {
+        beta = 0.5;
+
+        parameter = new HashMap<>();
+        parameter.put("Beta", beta);
+    }
 
     /**
      * Führt den Algortihmus zur Berechnung des RM-Schätzers durch.
@@ -70,7 +79,7 @@ public class RepeatedMedianEstimator implements Algorithm {
         n = setOfLines.size();
         interval = new Interval(-10000, 10000);
         original = new Interval(-10000, 10000);
-        beta = 0.5;
+
 
         intersectionsInLeftSlab = new HashSet<>();
         intersectionsInCenterSlab = new HashSet<>();
@@ -253,7 +262,7 @@ public class RepeatedMedianEstimator implements Algorithm {
             Math.floor(potentialYInterceptions.size() * 0.5));
 
         if (this.subscriber != null) {
-            AlgorithmData data = new AlgorithmData();
+            AlgorithmMessage data = new AlgorithmMessage();
             data.setAlgorithmType(getType());
             data.setType(SubscriberType.ALGORITHM);
             data.setLineData(new Line(getSlope(), getyInterception()));
@@ -348,9 +357,19 @@ public class RepeatedMedianEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
+
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
 }
 
 

src/main/java/de/wwwu/awolf/presenter/algorithms/advanced/TheilSenEstimator.java

@@ -1,10 +1,10 @@
 package de.wwwu.awolf.presenter.algorithms.advanced;
 
-import de.wwwu.awolf.model.Interval;
+import de.wwwu.awolf.model.dao.Interval;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.Point;
+import de.wwwu.awolf.model.dao.Point;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
@@ -17,6 +17,7 @@ import java.util.Collection;
 import java.util.LinkedHashSet;
 import java.util.LinkedList;
 import java.util.List;
+import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.Flow;
 
@@ -50,8 +51,9 @@ public class TheilSenEstimator implements Algorithm {
     private double bVariant;
     private double slope;
     private double yInterception;
-    private Flow.Subscriber<? super AlgorithmData> subscriber;
+    private Flow.Subscriber<? super AlgorithmMessage> subscriber;
     private AbstractPresenter presenter;
+    private Map<String, Object> parameter;
 
 
     /**
@@ -217,7 +219,7 @@ public class TheilSenEstimator implements Algorithm {
         yInterception = b;
 
         if (this.subscriber != null) {
-            AlgorithmData data = new AlgorithmData();
+            AlgorithmMessage data = new AlgorithmMessage();
             data.setAlgorithmType(getType());
             data.setType(SubscriberType.ALGORITHM);
             data.setLineData(new Line(m, b));
@@ -242,7 +244,17 @@ public class TheilSenEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
+
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
 }

src/main/java/de/wwwu/awolf/presenter/algorithms/naive/NaiveLeastMedianOfSquaresEstimator.java

@@ -1,8 +1,8 @@
-package de.wwwu.awolf.presenter.algorithms.naiv;
+package de.wwwu.awolf.presenter.algorithms.naive;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
@@ -10,8 +10,10 @@ import de.wwwu.awolf.presenter.util.FastElementSelector;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.util.ArrayList;
 import java.util.Collections;
+import java.util.HashMap;
 import java.util.LinkedList;
 import java.util.List;
+import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.Flow;
 
@@ -22,16 +24,20 @@ import java.util.concurrent.Flow;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 15.09.2017.
  */
-public class NaivLeastMedianOfSquaresEstimator implements Algorithm {
+public class NaiveLeastMedianOfSquaresEstimator implements Algorithm {
 
     private static final Algorithm.Type type = Type.NAIVE_LMS;
     private List<Line> setOfLines = new ArrayList<>();
 
     private int n;
     private double ds, b, m;
-    private Flow.Subscriber<? super Data> subscriber;
+    private Flow.Subscriber<? super Message> subscriber;
     private AbstractPresenter presenter;
+    private Map<String, Object> parameter;
 
+    public NaiveLeastMedianOfSquaresEstimator() {
+        parameter = new HashMap<>();
+    }
 
     /**
      * Crude Algorithmus zum berechnen des LSM-Schätzers.
@@ -77,7 +83,7 @@ public class NaivLeastMedianOfSquaresEstimator implements Algorithm {
         Logging.logInfo("=== E N D - naiv L M S ===");
         Logging.logInfo("Slope: " + getSlope() + ", y-Interception: " + getYInterception());
 
-        AlgorithmData data = new AlgorithmData();
+        AlgorithmMessage data = new AlgorithmMessage();
         data.setAlgorithmType(getType());
         data.setType(SubscriberType.ALGORITHM);
         data.setLineData(new Line(getSlope(), getYInterception()));
@@ -137,7 +143,17 @@ public class NaivLeastMedianOfSquaresEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
+
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
 }

src/main/java/de/wwwu/awolf/presenter/algorithms/naive/NaiveRepeatedMedianEstimator.java

@@ -1,9 +1,9 @@
-package de.wwwu.awolf.presenter.algorithms.naiv;
+package de.wwwu.awolf.presenter.algorithms.naive;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.Point;
+import de.wwwu.awolf.model.dao.Point;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
@@ -23,7 +23,7 @@ import java.util.concurrent.Flow;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 15.09.2017.
  */
-public class NaivRepeatedMedianEstimator implements Algorithm {
+public class NaiveRepeatedMedianEstimator implements Algorithm {
 
     private static final Algorithm.Type type = Type.NAIVE_RM;
 
@@ -34,8 +34,13 @@ public class NaivRepeatedMedianEstimator implements Algorithm {
     private List<Double> yMedians;
     private double medianX;
     private double medianY;
-    private Flow.Subscriber<? super Data> subscriber;
+    private Flow.Subscriber<? super Message> subscriber;
     private AbstractPresenter presenter;
+    private Map<String, Object> parameter;
+
+    public NaiveRepeatedMedianEstimator() {
+        parameter = new HashMap<>();
+    }
 
     @Override
     public Line call() {
@@ -90,7 +95,7 @@ public class NaivRepeatedMedianEstimator implements Algorithm {
         end = System.currentTimeMillis();
         Logging.logInfo("=== E N D - naiv R M ===");
         Logging.logInfo("Slope: " + getSlope() + ", y-Interception: " + getYInterception());
-        AlgorithmData data = new AlgorithmData();
+        AlgorithmMessage data = new AlgorithmMessage();
         data.setAlgorithmType(getType());
         data.setType(SubscriberType.ALGORITHM);
         data.setLineData(new Line(getSlope(), getYInterception()));
@@ -144,6 +149,16 @@ public class NaivRepeatedMedianEstimator implements Algorithm {
         return new Point(m, b);
     }
 
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
+
     /**
      * @return Steigung
      */
@@ -159,7 +174,7 @@ public class NaivRepeatedMedianEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
 }

src/main/java/de/wwwu/awolf/presenter/algorithms/naive/NaiveTheilSenEstimator.java

@@ -1,15 +1,17 @@
-package de.wwwu.awolf.presenter.algorithms.naiv;
+package de.wwwu.awolf.presenter.algorithms.naive;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.communication.AlgorithmData;
+import de.wwwu.awolf.model.communication.AlgorithmMessage;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import de.wwwu.awolf.presenter.util.FastElementSelector;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.util.ArrayList;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 import java.util.Set;
 import java.util.concurrent.Flow;
 
@@ -20,15 +22,20 @@ import java.util.concurrent.Flow;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 15.09.2017.
  */
-public class NaivTheilSenEstimator implements Algorithm {
+public class NaiveTheilSenEstimator implements Algorithm {
 
     private static final Algorithm.Type type = Type.NAIVE_TS;
 
     private List<Line> setOfLines;
     private double slope;
     private double yInterception;
-    private Flow.Subscriber<? super Data> subscriber;
+    private Flow.Subscriber<? super Message> subscriber;
     private AbstractPresenter presenter;
+    private Map<String, Object> parameter;
+
+    public NaiveTheilSenEstimator() {
+        parameter = new HashMap<>();
+    }
 
     @Override
     public Line call() {
@@ -68,7 +75,7 @@ public class NaivTheilSenEstimator implements Algorithm {
         end = System.currentTimeMillis();
         Logging.logInfo("=== E N D - naiv T S ===");
         Logging.logInfo("Slope: " + getSlope() + ", y-Interception: " + getYInterception());
-        AlgorithmData data = new AlgorithmData();
+        AlgorithmMessage data = new AlgorithmMessage();
         data.setAlgorithmType(getType());
         data.setType(SubscriberType.ALGORITHM);
         data.setLineData(new Line(getSlope(), getYInterception()));
@@ -92,6 +99,16 @@ public class NaivTheilSenEstimator implements Algorithm {
         subscribe(presenter);
     }
 
+    @Override
+    public Map<String, Object> getParameter() {
+        return this.parameter;
+    }
+
+    @Override
+    public void setParameter(Map<String, Object> parameter) {
+        this.parameter = parameter;
+    }
+
 
     /**
      * @return Steigung
@@ -108,7 +125,7 @@ public class NaivTheilSenEstimator implements Algorithm {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
 }

src/main/java/de/wwwu/awolf/presenter/data/DataHandler.java

@@ -1,6 +1,9 @@
 package de.wwwu.awolf.presenter.data;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.communication.DataProviderMessage;
+import de.wwwu.awolf.model.communication.Message;
+import de.wwwu.awolf.model.communication.SubscriberType;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.AbstractPresenter;
 import de.wwwu.awolf.presenter.data.generator.CircleDatasetGenerator;
 import de.wwwu.awolf.presenter.data.generator.CloudDatasetGenerator;
@@ -13,19 +16,22 @@ import java.util.Collections;
 import java.util.Set;
 import java.util.concurrent.ExecutionException;
 import java.util.concurrent.ExecutorCompletionService;
+import java.util.concurrent.Flow;
+import java.util.concurrent.Flow.Subscriber;
 
-public class DataHandler {
+public class DataHandler implements Flow.Publisher<Message> {
 
     private final AbstractPresenter presenter;
+    private Subscriber<? super Message> subscriber;
 
     public DataHandler(AbstractPresenter presenter) {
         this.presenter = presenter;
+        subscribe(presenter);
     }
 
     public Set<Line> getData(final File file) {
         //Presenter soll die Klasse überwachen
-        ExecutorCompletionService<Set<Line>> completionService = new ExecutorCompletionService<>(
+        ExecutorCompletionService<Set<Line>> completionService = new ExecutorCompletionService<>(this.presenter.getExecutor());
-            this.presenter.getExecutor());
         Logging.logDebug("Importing Data: " + file.getAbsolutePath());
         completionService.submit(new DataImporter(file));
         //wait until future is ready
@@ -35,14 +41,17 @@ public class DataHandler {
             Logging.logError("Interrupted while importing... ", e);
             Thread.currentThread().interrupt();
             return Collections.emptySet();
+        } finally {
+            DataProviderMessage message = new DataProviderMessage();
+            message.setType(SubscriberType.DATA_PROVIDER);
+            this.subscriber.onNext(message);
         }
     }
 
 
     public Set<Line> getData(final DataType type, final int dataSize) {
         //Presenter soll die Klasse überwachen
-        ExecutorCompletionService<Set<Line>> completionService = new ExecutorCompletionService<>(
+        ExecutorCompletionService<Set<Line>> completionService = new ExecutorCompletionService<>(this.presenter.getExecutor());
-            this.presenter.getExecutor());
         Logging.logDebug("Generating Data: Size: " + dataSize + ", dataType: " + type.name());
 
         switch (type) {
@@ -65,6 +74,10 @@ public class DataHandler {
             Logging.logError("Interrupted while generating... ", e);
             Thread.currentThread().interrupt();
             return Collections.emptySet();
+        } finally {
+            DataProviderMessage message = new DataProviderMessage();
+            message.setType(SubscriberType.DATA_PROVIDER);
+            this.subscriber.onNext(message);
         }
     }
 
@@ -72,6 +85,11 @@ public class DataHandler {
         this.presenter.getExecutor().submit(new DataExporter(lines, file));
     }
 
+    @Override
+    public void subscribe(Subscriber<? super Message> subscriber) {
+        this.subscriber = subscriber;
+    }
+
 
     public enum DataType {
         CLOUD,

src/main/java/de/wwwu/awolf/presenter/data/generator/CircleDatasetGenerator.java

@@ -2,7 +2,7 @@ package de.wwwu.awolf.presenter.data.generator;
 
 import static de.wwwu.awolf.presenter.data.generator.DatasetGenerator.generateDataLines;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.util.HashSet;
 import java.util.Set;
 import java.util.concurrent.Callable;

src/main/java/de/wwwu/awolf/presenter/data/generator/CloudDatasetGenerator.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.data.generator;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.security.SecureRandom;
 import java.util.HashSet;
 import java.util.Set;

src/main/java/de/wwwu/awolf/presenter/data/generator/DatasetGenerator.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.data.generator;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.security.SecureRandom;
 import java.util.HashMap;
 import java.util.Map;

src/main/java/de/wwwu/awolf/presenter/data/generator/LineDatasetGenerator.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.data.generator;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.util.HashSet;
 import java.util.Set;
 import java.util.concurrent.Callable;

src/main/java/de/wwwu/awolf/presenter/data/io/DataExporter.java

@@ -1,7 +1,7 @@
 package de.wwwu.awolf.presenter.data.io;
 
 import com.opencsv.CSVWriter;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.io.File;
 import java.io.FileWriter;

src/main/java/de/wwwu/awolf/presenter/data/io/DataImporter.java

@@ -1,7 +1,7 @@
 package de.wwwu.awolf.presenter.data.io;
 
 import com.opencsv.CSVReader;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.util.Logging;
 import java.io.File;
 import java.io.FileNotFoundException;

src/main/java/de/wwwu/awolf/presenter/evaluation/AlgorithmComparison.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.evaluation;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.model.evaluation.ComparisonResult;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import de.wwwu.awolf.presenter.algorithms.AlgorithmHandler;

src/main/java/de/wwwu/awolf/presenter/evaluation/EvaluatationHandler.java

@@ -1,9 +1,9 @@
 package de.wwwu.awolf.presenter.evaluation;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.LineModel;
+import de.wwwu.awolf.model.dao.LineModel;
-import de.wwwu.awolf.model.communication.Data;
+import de.wwwu.awolf.model.communication.Message;
-import de.wwwu.awolf.model.communication.EvaluationData;
+import de.wwwu.awolf.model.communication.EvaluationMessage;
 import de.wwwu.awolf.model.communication.SubscriberType;
 import de.wwwu.awolf.model.evaluation.ComparisonResult;
 import de.wwwu.awolf.presenter.Presenter;
@@ -31,7 +31,7 @@ import java.util.concurrent.Flow;
  * @Email: a_wolf28@uni-muenster.de
  * @Date: 01.08.2017.
  */
-public class EvaluatationHandler implements Runnable, Flow.Publisher<Data> {
+public class EvaluatationHandler implements Runnable, Flow.Publisher<Message> {
 
     private LineModel arrangement;
     private DatasetGenerator generator;
@@ -40,7 +40,7 @@ public class EvaluatationHandler implements Runnable, Flow.Publisher<Data> {
     private int type;
     private int iterations;
     private int alg;
-    private Flow.Subscriber<? super Data> subscriber;
+    private Flow.Subscriber<? super Message> subscriber;
     private Map<Algorithm.Type, Map<String, String>> resultMapping;
 
     /**
@@ -173,8 +173,8 @@ public class EvaluatationHandler implements Runnable, Flow.Publisher<Data> {
      */
     private void sendTableApproximationData(Map<Algorithm.Type, Map<String, String>> result) {
 
-        EvaluationData data = new EvaluationData();
+        EvaluationMessage data = new EvaluationMessage();
-        data.setType(SubscriberType.EVALUATION_TABLE_DATA);
+        data.setType(SubscriberType.EVALUATION);
         data.setMultipleColumnResult(result);
         data.setRowsPerColumn(result.keySet().size());
         this.subscriber.onNext(data);
@@ -276,7 +276,7 @@ public class EvaluatationHandler implements Runnable, Flow.Publisher<Data> {
     }
 
     @Override
-    public void subscribe(Flow.Subscriber<? super Data> subscriber) {
+    public void subscribe(Flow.Subscriber<? super Message> subscriber) {
         this.subscriber = subscriber;
     }
 }

src/main/java/de/wwwu/awolf/presenter/evaluation/measures/PercentageErrorBasedMeasure.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.evaluation.measures;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.util.FastElementSelector;
 import java.util.ArrayList;
 import java.util.List;

src/main/java/de/wwwu/awolf/presenter/evaluation/measures/ScaleDependentMeasure.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.evaluation.measures;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.util.FastElementSelector;
 import java.util.ArrayList;
 import java.util.HashSet;

src/main/java/de/wwwu/awolf/presenter/evaluation/measures/ScaledErrorBasedMeasure.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.evaluation.measures;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.util.FastElementSelector;
 import java.util.ArrayList;
 import java.util.Set;

src/main/java/de/wwwu/awolf/presenter/util/Comparators/YOrderLineComparatorBegin.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.util.Comparators;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.util.Comparator;
 
 /**

src/main/java/de/wwwu/awolf/presenter/util/Comparators/YOrderLineComparatorEnd.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.util.Comparators;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.util.Comparator;
 
 /**

src/main/java/de/wwwu/awolf/presenter/util/IntersectionComputer.java

@@ -1,8 +1,8 @@
 package de.wwwu.awolf.presenter.util;
 
 import com.google.common.collect.Lists;
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.Point;
+import de.wwwu.awolf.model.dao.Point;
 import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;

src/main/java/de/wwwu/awolf/view/ViewController.java

@@ -1,8 +1,9 @@
 package de.wwwu.awolf.view;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.Presenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
+import de.wwwu.awolf.presenter.algorithms.AlgorithmHandler;
 import de.wwwu.awolf.presenter.data.DataHandler;
 import de.wwwu.awolf.presenter.util.Logging;
 import de.wwwu.awolf.view.controller.AlgorithmTabController;
@@ -10,7 +11,6 @@ import de.wwwu.awolf.view.services.DataService;
 import java.io.File;
 import java.io.IOException;
 import java.util.EnumMap;
-import java.util.HashMap;
 import java.util.Map;
 import javafx.application.Platform;
 import javafx.fxml.FXML;
@@ -56,22 +56,15 @@ public class ViewController {
     }
 
     private void initTabbedPane() {
-        //TODO
+        AlgorithmHandler algorithmHandler = Presenter.getInstance().getAlgorithmHandler();
-        Map<String, String> props = new HashMap<>();
-        props.put("sfsdf", "dsadasd");
-        props.put("dfd", "dsadasd");
-        props.put("sdfdsfg", "dsadasd");
-        props.put("dsfsdfsdf", "dsadasd");
-
         try {
             for (Algorithm.Type value : Algorithm.Type.values()) {
                 FXMLLoader loader = new FXMLLoader();
-                loader.setLocation(
+                loader.setLocation(AlgorithmTabController.class.getResource("/views/AlgorithmTab.fxml"));
-                    AlgorithmTabController.class.getResource("/views/AlgorithmTab.fxml"));
                 Parent parent = loader.load();
                 AlgorithmTabController controller = loader.getController();
                 controller.setAlgorithmType(value);
-                controller.setProperties(props);
+                controller.setProperties(algorithmHandler.getAlgorithmParametersByType(value));
                 controller.setModel(Presenter.getInstance().getModel());
                 controller.init();
                 this.algorithmTabControllers.put(value, controller);

src/main/java/de/wwwu/awolf/view/controller/AlgorithmTabController.java

@@ -1,7 +1,7 @@
 package de.wwwu.awolf.view.controller;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.LineModel;
+import de.wwwu.awolf.model.dao.LineModel;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import de.wwwu.awolf.view.services.ButtonClickService;
 import java.util.Map;
@@ -22,13 +22,14 @@ public class AlgorithmTabController {
     private final XYChart.Series<Double, Double> dataSerie;
     private final XYChart.Series<Double, Double> lineSerie;
     @FXML
-    public LineChart<Double, Double> chart;
+    private LineChart<Double, Double> chart;
     @FXML
-    public VBox vBox;
+    private VBox vBox;
     @FXML
-    public Button startButton;
+    private Button startButton;
+
     private Algorithm.Type algorithmType;
-    private Map<String, String> properties;
+    private Map<String, Object> properties;
     private LineModel model;
 
     public AlgorithmTabController() {
@@ -48,25 +49,27 @@ public class AlgorithmTabController {
 
     public void init() {
         // add GUI elements to maintain the parameters
-        properties.forEach((key, value) -> {
+        if (properties != null) {
-            //Pane component for the layout
+            properties.forEach((key, value) -> {
-            BorderPane borderPane = new BorderPane();
+                //Pane component for the layout
-            borderPane.setPadding(new Insets(10, 0, 10, 0));
+                BorderPane borderPane = new BorderPane();
+                borderPane.setPadding(new Insets(10, 0, 10, 0));
 
-            //text field for the input
+                //text field for the input
-            TextField textField = new TextField(value);
+                TextField textField = new TextField(String.valueOf(value));
 
-            //label
+                //label
-            Label label = new Label(key);
+                Label label = new Label(key);
-            label.setAlignment(Pos.BASELINE_LEFT);
+                label.setAlignment(Pos.BASELINE_LEFT);
-            label.setLabelFor(textField);
+                label.setLabelFor(textField);
-            label.setPadding(new Insets(2, 10, 0, 0));
+                label.setPadding(new Insets(2, 10, 0, 0));
 
-            //add components
+                //add components
-            borderPane.setLeft(label);
+                borderPane.setLeft(label);
-            borderPane.setRight(textField);
+                borderPane.setRight(textField);
-            vBox.getChildren().add(borderPane);
+                vBox.getChildren().add(borderPane);
-        });
+            });
+        }
 
         BooleanProperty booleanProperty = startButton.disableProperty();
         startButton.setOnAction(event -> {
@@ -107,13 +110,15 @@ public class AlgorithmTabController {
         this.algorithmType = algorithmType;
     }
 
-    public Map<String, String> getProperties() {
+    public Map<String, Object> getProperties() {
         return properties;
     }
 
-    public void setProperties(Map<String, String> properties) {
+    public void setProperties(Map<String, Object> properties) {
         this.properties = properties;
     }
 
-
+    public Button getStartButton() {
+        return startButton;
+    }
 }

src/main/java/de/wwwu/awolf/view/services/ButtonClickService.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.view.services;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.Presenter;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import javafx.beans.property.BooleanProperty;
@@ -12,7 +12,7 @@ public class ButtonClickService extends Service<Boolean> {
     private final BooleanProperty startButtonDisabled;
     private Algorithm.Type type;
 
-    public ButtonClickService(Algorithm.Type algorithmType, BooleanProperty startButtonDisabled) {
+    public ButtonClickService(final Algorithm.Type algorithmType, final BooleanProperty startButtonDisabled) {
         this.startButtonDisabled = startButtonDisabled;
         this.type = algorithmType;
     }

src/main/java/de/wwwu/awolf/view/services/DataService.java

@@ -13,8 +13,7 @@ public class DataService extends Service<Boolean> {
     private DataHandler.ActionType actionType;
     private int n;
 
-    public DataService(final DataHandler.ActionType actionType, final DataHandler.DataType type,
+    public DataService(final DataHandler.ActionType actionType, final DataHandler.DataType type, final int n) {
-        final int n) {
         this.type = type;
         this.actionType = actionType;
         this.n = n;

src/main/resources/META-INF/services/de.wwwu.awolf.presenter.algorithms.Algorithm

@@ -1,6 +1,6 @@
 de.wwwu.awolf.presenter.algorithms.advanced.LeastMedianOfSquaresEstimator
 de.wwwu.awolf.presenter.algorithms.advanced.RepeatedMedianEstimator
 de.wwwu.awolf.presenter.algorithms.advanced.TheilSenEstimator
-de.wwwu.awolf.presenter.algorithms.naiv.NaivLeastMedianOfSquaresEstimator
+de.wwwu.awolf.presenter.algorithms.naive.NaiveLeastMedianOfSquaresEstimator
-de.wwwu.awolf.presenter.algorithms.naiv.NaivRepeatedMedianEstimator
+de.wwwu.awolf.presenter.algorithms.naive.NaiveRepeatedMedianEstimator
-de.wwwu.awolf.presenter.algorithms.naiv.NaivTheilSenEstimator
+de.wwwu.awolf.presenter.algorithms.naive.NaiveTheilSenEstimator

src/main/resources/views/AlgorithmTab.fxml

@@ -1,61 +1,54 @@
 <?xml version="1.0" encoding="UTF-8"?>
 
-<?import javafx.geometry.Insets?>
+<?import javafx.geometry.*?>
-<?import javafx.scene.chart.LineChart?>
+<?import javafx.scene.*?>
-<?import javafx.scene.chart.NumberAxis?>
+<?import javafx.scene.chart.*?>
-<?import javafx.scene.control.Button?>
+<?import javafx.scene.control.*?>
-<?import javafx.scene.Cursor?>
+<?import javafx.scene.layout.*?>
-<?import javafx.scene.layout.BorderPane?>
+
-<?import javafx.scene.layout.FlowPane?>
+<BorderPane prefHeight="400.0" prefWidth="600.0" styleClass="algoPane" xmlns="http://javafx.com/javafx/10.0.2-internal" xmlns:fx="http://javafx.com/fxml/1" fx:controller="de.wwwu.awolf.view.controller.AlgorithmTabController">
-<?import javafx.scene.layout.VBox?>
-<BorderPane xmlns:fx="http://javafx.com/fxml/1" prefHeight="400.0" prefWidth="600.0"
-  styleClass="algoPane" xmlns="http://javafx.com/javafx/10.0.2-internal"
-  fx:controller="de.wwwu.awolf.view.controller.AlgorithmTabController">
   <center>
-    <LineChart BorderPane.alignment="CENTER" prefHeight="398.0" prefWidth="390.0" title="Plot"
+    <LineChart fx:id="chart" prefHeight="398.0" prefWidth="390.0" title="Plot" BorderPane.alignment="CENTER">
-      fx:id="chart">
       <xAxis>
         <NumberAxis label="X" side="BOTTOM">
           <padding>
-            <Insets bottom="10.0" left="10.0" right="10.0" top="10.0"/>
+            <Insets bottom="10.0" left="10.0" right="10.0" top="10.0" />
           </padding>
         </NumberAxis>
       </xAxis>
       <yAxis>
         <NumberAxis label="Y" side="LEFT">
           <padding>
-            <Insets bottom="10.0" left="10.0" right="10.0" top="10.0"/>
+            <Insets bottom="10.0" left="10.0" right="10.0" top="10.0" />
           </padding>
         </NumberAxis>
       </yAxis>
     </LineChart>
   </center>
   <left>
-    <VBox BorderPane.alignment="CENTER" alignment="TOP_CENTER" prefHeight="200.0" prefWidth="200.0"
+    <VBox fx:id="vBox" alignment="TOP_CENTER" prefHeight="200.0" prefWidth="200.0" BorderPane.alignment="CENTER">
-      fx:id="vBox">
       <BorderPane.margin>
-        <Insets left="10.0"/>
+        <Insets left="10.0" />
       </BorderPane.margin>
       <children>
       </children>
       <cursor>
-        <Cursor fx:constant="HAND"/>
+        <Cursor fx:constant="HAND" />
       </cursor>
       <padding>
-        <Insets top="10.0"/>
+        <Insets top="10.0" />
       </padding>
     </VBox>
   </left>
   <top>
-    <FlowPane BorderPane.alignment="CENTER" hgap="5.0" prefHeight="25.0" prefWidth="200.0">
+    <FlowPane hgap="5.0" prefHeight="25.0" prefWidth="200.0" BorderPane.alignment="CENTER">
       <BorderPane.margin>
-        <Insets bottom="10.0" left="10.0" right="10.0" top="10.0"/>
+        <Insets bottom="10.0" left="10.0" right="10.0" top="10.0" />
       </BorderPane.margin>
       <children>
-        <Button alignment="CENTER" contentDisplay="CENTER" defaultButton="true" pickOnBounds="false"
+        <Button fx:id="startButton" alignment="CENTER" contentDisplay="CENTER" defaultButton="true" disable="true" pickOnBounds="false" text="Start">
-          text="Start" fx:id="startButton">
           <cursor>
-            <Cursor fx:constant="HAND"/>
+            <Cursor fx:constant="HAND" />
           </cursor>
         </Button>
       </children>

src/test/java/de/wwwu/awolf/presenter/algorithms/advanced/LeastMedianOfSquaresEstimatorTest.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.algorithms.advanced;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import de.wwwu.awolf.presenter.algorithms.Algorithm;
 import de.wwwu.awolf.presenter.algorithms.AlgorithmHandler;
 import java.util.HashSet;

src/test/java/de/wwwu/awolf/presenter/algorithms/advanced/TheilSenEstimatorTest.java

@@ -1,6 +1,6 @@
 package de.wwwu.awolf.presenter.algorithms.advanced;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
 import java.util.LinkedList;
 import java.util.List;
 import org.junit.Before;

src/test/java/de/wwwu/awolf/presenter/util/IntersectionCounterTest.java

@@ -2,8 +2,8 @@ package de.wwwu.awolf.presenter.util;
 
 import static org.junit.Assert.assertEquals;
 
-import de.wwwu.awolf.model.Line;
+import de.wwwu.awolf.model.dao.Line;
-import de.wwwu.awolf.model.LineModel;
+import de.wwwu.awolf.model.dao.LineModel;
 import java.util.ArrayList;
 import org.junit.Before;
 import org.junit.Test;