2013-03-18 15:50:26 +04:00
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<title>ProGuard Results</title>
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2014-08-20 00:11:08 +04:00
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2013-03-18 15:50:26 +04:00
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2014-08-20 00:11:08 +04:00
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document.write('<a class="largebutton" target="_top" href="index.html#results.html">ProGuard index</a> <a class="largebutton" target="_top" href="http://www.saikoa.com/dexguard">DexGuard</a> <a class="largebutton" target="_top" href="http://www.saikoa.com/">Saikoa</a> <a class="largebutton" target="other" href="http://sourceforge.net/projects/proguard/">Sourceforge</a>')
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2013-03-18 15:50:26 +04:00
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2014-08-20 00:11:08 +04:00
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<noscript>
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<a class="largebutton" target="_top" href="index.html#results.html">ProGuard index</a>
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<a class="largebutton" target="_top" href="http://www.saikoa.com/dexguard">DexGuard</a>
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<a class="largebutton" target="_top" href="http://www.saikoa.com/">Saikoa</a>
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<a class="largebutton" target="other" href="http://sourceforge.net/projects/proguard/">Sourceforge</a>
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</noscript>
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2013-03-18 15:50:26 +04:00
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<h2>Results</h2>
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<b>ProGuard</b> successfully processes any Java bytecode, ranging from small
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midlets to entire run-time libraries. It primarily reduces the size of the
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processed code, with some potential increase in efficiency as an added bonus.
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The improvements obviously depend on the original code. The table below
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presents some typical results:
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<p>
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<table>
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<tr>
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<th width="28%">Input Program</th>
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<th width="12%">Original size</th>
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<th width="12%">After shrinking</th>
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<th width="12%">After optim.</th>
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<th width="12%">After obfusc.</th>
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<th width="12%">Total reduction</th>
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<th width="12%">Time</th>
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<th width="12%">Memory usage</th>
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</tr>
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<tr>
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2014-08-20 00:11:08 +04:00
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<td><a target="other" href="http://www.oracle.com/technetwork/java/javame/index.html">Worm</a>, a sample midlet from Oracle's JME</td>
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2013-03-18 15:50:26 +04:00
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<td align="center">10.3 K</td>
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<td align="center">9.8 K</td>
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<td align="center">9.6 K</td>
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<td align="center">8.5 K</td>
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<td align="center">18 %</td>
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<td align="center">2 s</td>
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<td align="center">19 M</td>
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</tr>
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<tr>
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<td><a target="other" href="http://www.javadocking.com/">Javadocking</a>, a docking library</td>
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<td align="center">290 K</td>
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<td align="center">281 K</td>
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<td align="center">270 K</td>
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<td align="center">201 K</td>
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<td align="center">30 %</td>
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<td align="center">12 s</td>
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<td align="center">32 M</td>
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</tr>
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<tr>
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<td><b>ProGuard</b> itself</td>
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<td align="center">648 K</td>
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<td align="center">579 K</td>
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<td align="center">557 K</td>
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<td align="center">348 K</td>
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<td align="center">46 %</td>
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<td align="center">28 s</td>
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<td align="center">66 M</td>
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</tr>
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<tr>
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<td><a target="other" href="http://www.clarkware.com/software/JDepend.html">JDepend</a>, a Java quality metrics tool</td>
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<td align="center">57 K</td>
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<td align="center">36 K</td>
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<td align="center">33 K</td>
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<td align="center">28 K</td>
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<td align="center">51 %</td>
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<td align="center">6 s</td>
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<td align="center">24 M</td>
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</tr>
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<tr>
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<td><a target="other" href="ihttp://www.oracle.com/technetwork/java/javase/overview/index.html">the run-time classes</a> from Oracle's Java 6</td>
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<td align="center">53 M</td>
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<td align="center">23 M</td>
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<td align="center">22 M</td>
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<td align="center">18 M</td>
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<td align="center">66 %</td>
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<td align="center">16 min</td>
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<td align="center">270 M</td>
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</tr>
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<tr>
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<td><a target="other" href="http://tomcat.apache.org/">Tomcat</a>, the Apache servlet container</td>
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<td align="center">1.1 M</td>
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<td align="center">466 K</td>
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<td align="center">426 K</td>
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<td align="center">295 K</td>
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<td align="center">74 %</td>
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<td align="center">17 s</td>
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<td align="center">44 M</td>
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</tr>
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<tr>
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<td><a target="other" href="http://javancss.codehaus.org/">JavaNCSS</a>, a Java source metrics tool</td>
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<td align="center">632 K</td>
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<td align="center">242 K</td>
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<td align="center">212 K</td>
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<td align="center">152 K</td>
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<td align="center">75 %</td>
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<td align="center">20 s</td>
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<td align="center">36 M</td>
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</tr>
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<tr>
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<td><a target="other" href="http://ant.apache.org/">Ant</a>, the Apache build tool</td>
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<td align="center">2.4 M</td>
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<td align="center">401 K</td>
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<td align="center">325 K</td>
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<td align="center">242 K</td>
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<td align="center">90 %</td>
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<td align="center">23 s</td>
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<td align="center">61 M</td>
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</tr>
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</table>
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<p>
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Results were measured with ProGuard 4.0 on a 2.6 GHz Pentium 4 with 512 MB
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of memory, using Sun JDK 1.5.0 in Fedora Core 3 Linux. All of this technology
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and software has evolved since, but the gist of the results remains the same.
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<p>
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The program sizes include companion libraries. The shrinking step produces the
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best results for programs that use only small parts of their libraries. The
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obfuscation step can significantly shrink large programs even further, since
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the identifiers of their many internal references can be replaced by short
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identifiers.
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<p>
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The Java 6 run-time classes are the most complex example. The classes perform
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a lot of introspection, interacting with the native code of the virtual
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machine. The 1500+ lines of configuration were largely composed by automated
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analysis, complemented by a great deal of trial and error. The configuration
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is probably not complete, but the resulting library successfully serves as a
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run-time environment for running applications like ProGuard and the ProGuard
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GUI.
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<p>
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For small inputs, timings are governed by the reading and parsing of the jars.
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For large inputs, the optimization step becomes more important. For instance,
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processing the Java 6 run-time classes without optimization only takes 2
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minutes.
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<p>
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Memory usage (the amount of physical memory used by ProGuard while processing)
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is governed by the basic java virtual machine and by the total size of the
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library jars and program jars.
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<hr />
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<address>
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2014-08-20 00:11:08 +04:00
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Copyright © 2002-2014
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<a target="other" href="http://www.lafortune.eu/">Eric Lafortune</a> @ <a target="top" href="http://www.saikoa.com/">Saikoa</a>.
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2013-03-18 15:50:26 +04:00
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</address>
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</body>
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</html>
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