<br><font size=2 face="sans-serif">Patrick, We will certain take
a crack at some ideas and get them out to folks to review. Cheers.
p.</font>
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<td width=40%><font size=1 face="sans-serif"><b>Patrick Lardieri <plardier@atl.lmco.com></b>
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<br><font size=1 face="sans-serif">Sent by: cadynce-bounces@list.isis.vanderbilt.edu</font>
<p><font size=1 face="sans-serif">04/20/2007 10:11 AM</font>
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<div align=right><font size=1 face="sans-serif">To</font></div>
<td><font size=1 face="sans-serif">cadynce@list.isis.vanderbilt.edu</font>
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<div align=right><font size=1 face="sans-serif">cc</font></div>
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<div align=right><font size=1 face="sans-serif">Subject</font></div>
<td><font size=1 face="sans-serif">[cadynce] Data Visualization</font></table>
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<br><font size=2><tt>Dear CADynCE Team,<br>
<br>
We need to start generating ideas on data visualizations that aid the <br>
certification process. Ideally, we should have at least one <br>
visualization for each step of the tool chain: model inputs, <br>
allocations, model checking, test results, integrated recommendation <br>
across the data. We have to explain how these visualizations support
<br>
the certification process not just how they are cool or neat. The data
I <br>
discussed yesterday is one example of a visualization for model checking
<br>
output that does support certification although we have yet to help <br>
Carol understand how. I request that people come up with notional ideas,
<br>
sketch them out in powerpoint or some other tools and post them to the
<br>
wiki.<br>
<br>
Thanks,<br>
<br>
Patrick<br>
<br>
<br>
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