<HTML>
<HEAD>
<META name="description"
	content="Violet UML Editor cross format document" />
<META name="keywords" content="Violet, UML" />
<META charset="UTF-8" />
<SCRIPT type="text/javascript">
	function switchVisibility() {
		var obj = document.getElementById("content");
		obj.style.display = (obj.style.display == "block") ? "none" : "block";
	}
</SCRIPT>
</HEAD>
<BODY>
	This file was generated with Violet UML Editor 3.0.0.
	&nbsp;&nbsp;(&nbsp;<A href=# onclick="switchVisibility()">View Source</A>&nbsp;/&nbsp;<A href="http://sourceforge.net/projects/violet/files/violetumleditor/" target="_blank">Download Violet</A>&nbsp;)
	<BR />
	<BR />
	<SCRIPT id="content" type="text/xml"><![CDATA[<ClassDiagramGraph id="1">
  <nodes id="2">
    <ClassNode id="3">
      <id id="4" value="9f2779a6-43e6-4251-aa6d-bd356cfa92cd"/>
      <revision>1</revision>
      <children id="5"/>
      <location class="Point2D.Double" id="6" x="500.0" y="220.0"/>
      <textColor id="7">
        <red>51</red>
        <green>51</green>
        <blue>51</blue>
        <alpha>255</alpha>
      </textColor>
      <name id="8">
        <text>Wohnung</text>
      </name>
      <attributes id="9">
        <text>+ immobiliennummer: int
+ baujahr: int
+ wohnflaeche: float
+ aufwandspauschale: float</text>
      </attributes>
      <methods id="10">
        <text>+ Wohnung(p_nr: int, p_jahr: int, p_qm: float, p_betrag: float)
+ alter_bestimmen(p_akt_jahr: int): int</text>
      </methods>
    </ClassNode>
    <ClassNode id="11">
      <id id="12" value="a3916d2b-f7ed-4211-a2c3-006c064e5c0c"/>
      <revision>1</revision>
      <children id="13"/>
      <location class="Point2D.Double" id="14" x="240.0" y="450.0"/>
      <textColor reference="7"/>
      <name id="15">
        <text>Mietwohnung</text>
      </name>
      <attributes id="16">
        <text>+ monatsmiete: float</text>
      </attributes>
      <methods id="17">
        <text>+ Mietwohnung(p_nr: int, p_jahr: int, p_qm: float, p_betrag: float, p_miete: float)
+ aufwandspauschale_berechnen(): float
+ qm_miete_berechnen(): float</text>
      </methods>
    </ClassNode>
    <ClassNode id="18">
      <id id="19" value="f0b2cc81-6470-4e2e-b6f7-9327631a9f68"/>
      <revision>1</revision>
      <children id="20"/>
      <location class="Point2D.Double" id="21" x="500.0" y="590.0"/>
      <textColor id="22">
        <red>51</red>
        <green>51</green>
        <blue>51</blue>
        <alpha>255</alpha>
      </textColor>
      <name id="23">
        <text>Eigentumswohnung</text>
      </name>
      <attributes id="24">
        <text>+ verkaufspreis: float</text>
      </attributes>
      <methods id="25">
        <text>+ Eigentumswohnung(p_nr: int, p_jahr: int, p_qm: float, p_betrag: float, p_vkpreis: float)
+ vermittlungsgebühr_berechnen(): float</text>
      </methods>
    </ClassNode>
  </nodes>
  <edges id="26">
    <InheritanceEdge id="27">
      <id id="28" value="9b93e1d9-78cd-4f8a-8f35-c09d13f9d030"/>
      <revision>1</revision>
      <startNode class="ClassNode" reference="11"/>
      <startLocation class="Point2D.Double" id="29" x="60.0" y="80.0"/>
      <endNode class="ClassNode" reference="3"/>
      <endLocation class="Point2D.Double" id="30" x="60.0" y="90.0"/>
      <transitionPoints id="31"/>
      <backgroundColor id="32">
        <red>255</red>
        <green>255</green>
        <blue>255</blue>
        <alpha>255</alpha>
      </backgroundColor>
      <borderColor id="33">
        <red>191</red>
        <green>191</green>
        <blue>191</blue>
        <alpha>255</alpha>
      </borderColor>
      <textColor id="34">
        <red>51</red>
        <green>51</green>
        <blue>51</blue>
        <alpha>255</alpha>
      </textColor>
      <selectedBentStyle>0</selectedBentStyle>
      <selectedLineStyle>0</selectedLineStyle>
      <selectedStartArrowhead>0</selectedStartArrowhead>
      <selectedEndArrowhead>2</selectedEndArrowhead>
      <startLabel id="35">
        <text></text>
      </startLabel>
      <centerLabel id="36">
        <text></text>
      </centerLabel>
      <endLabel id="37">
        <text></text>
      </endLabel>
    </InheritanceEdge>
    <InheritanceEdge id="38">
      <id id="39" value="8a824a6c-eed6-484e-928c-d50858d7717a"/>
      <revision>1</revision>
      <startNode class="ClassNode" reference="18"/>
      <startLocation class="Point2D.Double" id="40" x="60.0" y="70.0"/>
      <endNode class="ClassNode" reference="3"/>
      <endLocation class="Point2D.Double" id="41" x="240.0" y="70.0"/>
      <transitionPoints id="42"/>
      <backgroundColor reference="32"/>
      <borderColor reference="33"/>
      <textColor reference="34"/>
      <selectedBentStyle>0</selectedBentStyle>
      <selectedLineStyle>0</selectedLineStyle>
      <selectedStartArrowhead>0</selectedStartArrowhead>
      <selectedEndArrowhead>2</selectedEndArrowhead>
      <startLabel id="43">
        <text></text>
      </startLabel>
      <centerLabel id="44">
        <text></text>
      </centerLabel>
      <endLabel id="45">
        <text></text>
      </endLabel>
    </InheritanceEdge>
  </edges>
</ClassDiagramGraph>]]></SCRIPT>
	<BR />
	<BR />
	<IMG alt="embedded diagram image" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAu0AAAHYCAIAAAB2g0GzAAAxLklEQVR42u3dTY7jyJ2w8TlSCbnx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" />
</BODY>
</HTML>