\begin{slide}[toc=Use it or Lose it]{Introduction: Use it or Lose it\newline
(and this is the last ``business-level'' slide)}

\twocolumn[lcolwidth=1.5in,rcolwidth=2.5in]{
\includegraphics[width=1.5in]{mummy.eps}
}{
\begin{itemize}
\item
NASA data = active repository or data tomb?
\bi
\item
write once;
\item
read never;
\item
buried;
\item
doomed;
\ei
\item
If an organization spends millions of  dollars on data 
collection and archiving...
\bi
\item
It should spend tens of thousands (at least) in analyzing that data.
\ei
\item
NASA IV\&V is in a unique position to review and 
comment on much of the NASA software enterprise.
\bi
\item
We {\em see} more, 
but what have we {\em learned}?
\item What can we {\em tell}?
\ei
\end{itemize}
} 
\end{slide}

\begin{slide}{This talk...}
\begin{itemize}
\item ``Knowledge farming'' on ``SILAP'' models
\bi
\item ``Knowledge farming'': see below
\item ``SILAP'': 
how IV\&V selects which tasks to perform for a given project;
\ei
\item Results:  

\bi
\item 
SILAP v.1: an open source version of SILAP \url{http://unbox.org/wisp/trunk/silap};
\item
MB1: 
\bi
\item
433 SLIAPed software elements from NASA 
\item
divided into different project
types.
\item
\url{http://unbox.org/wisp/trunk/silap/data/mb1.csv}
\ei
\item
Experiments showing:
\bi
\item
Selected IV\&V tasks often the {\em same}, despite processing {\em different}
 projects;
\item
Identification of the {\em really different} project types that lead
to different IV\&V tasks
\ei
\ei
\end{itemize}
\end{slide}
