\begin{slide}{Importance \& Benefits}

If an organizations spends millions of data collection and archiving...
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It should spend tens of thousands (or more) analyzing that data.

\ei

Surprises, found before by SARP projects:

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                        Largest source of post-launch {\em deep space} anomalies is {\em ground systems} [Lutz,2004]
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Common conflation of {\em severity} and {\em priority} in NASA defect logs [me,2002]
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                        {\em Small} changes in data $\Rightarrow$ {\em massive} changes in cost estimation [me,Hihn,2005]
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                        Static code measures surprisingly good and predict for issues [me, 2005]
                        
\ei

And the discoveries continue:
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                        IV\&V tasks often the {\em same}, despite processing different {\em projects} [me, today]
\ei

What might we learn tomorrow?\
\end{slide}
