Embedded Unit Testing

A simpler way to write tests, embedded. This is rife with possibilities and usefulness.
More on it later...I have to run.

import java.util.*;

import junit.framework.*;



/** Creates moving average of double data, everytime new data is added */

public class MovingAverage {

    private int setSize = 1; // Size of set

    private LinkedList set = new LinkedList();

    private double average = 0.0;

    

    /** Create moving average of size data elements */

    public MovingAverage(int size) {

        setSize = size;

    }

    

    /** Add's data to the set, returns the moving average, 0.0 is returned when there are not sufficient data */

    public double add(double data) {

        set.add(new Double(data));

        if(set.size() <= setSize) {

            average = (average * (set.size() - 1) + data) / set.size();

        } else {

            double firstData = ((Double) set.remove(0)).doubleValue();

            average += (data - firstData) / setSize;

        }

        return average;

    }

    

    public static void main(String args[]) {

        junit.textui.TestRunner.run(new TestSuite(MovingAverage.TestMovingAverage.class));

    }

        

    public static class TestMovingAverage extends TestCase {

        public TestMovingAverage(String name) {

            super(name);

        }

        

        public void testAddFirstSetSizeMinusOneValues() {

            int size = 2000;

            MovingAverage avg = new MovingAverage(size);

            for(int i = 0;i < size - 1;i++) {

                assertEquals("First N Values of Moving Average (Set Size > N), N = " + (i + 1), i/2.0, avg.add(i), 0.001);

            }

        }

        

        public void testAddMovingAverage() {

            int size = 200;

            MovingAverage avg = new MovingAverage(size);

            for(int i = 1;i < size;i++) {

                avg.add(i);

            }

            for(int i = size;i < size * size;i++) {

                assertEquals("Testing moving average for 1..." + i, (1.0 + 2 * i - size)/2, avg.add(i), 0.001);

            }            

        }        

    }

}