\begin{slide}[toc=Components]{MB1: Components}
433 SILAP-ed software elements from NASA (system, subsystem, CSCI, or CSC level);
sanitized data, i.e. mission/center names replaced with {\em x1, x2,...}.
Divided into:
\begin{itemize}

\item All

\item ``Orbits''
\bi
\item
gs1: ground system
\item
es2: earth orbit 
\item
xf3: ``transfer'' (a mission that does not have an Earth-centric orbit), 
\item
go4: ground ops on different planet
\ei

\item ``profile'': type of science
\bi
\item \{es,hs,op,ss,su\}
\ei

\item ``prime'': who built the sub-system (which NASA center)
\bi
\item \{p1,p2,p3,p4\}
\ei

\item Auto: learned by a clustering algorithm (EM) that ignores all the above distinctions
\bi
\item \{cluster0, cluster1,cluster2,cluster3,cluster4\}
\ei
\end{itemize}
Q: for the purposes of IV\&V, which of the above matter at all?

A: apply the {\em principle of separation}
\end{slide}
\begin{slide}[toc=separation]{Principle of separation}
\begin{itemize}
\item
Different things get effected different ways.
\begin{itemize}
\item
$Out=f(In)$
\item
{\em Weak separation:} All $In$s don't have the same $Out$s
\item
{\em Strong separation:} Different $In$s have different $Out$s
\end{itemize}
\item A model that does not {\em separate} is {\em blunt}; i.e.
is not sensitive to changes in the inputs.
\item
I.e. the SILAP divisions that matter are those that:
\begin{itemize}
\item Are most different to the $All$ set;
\bi
\item
``Profile'' selects for nearly the same tasks as ``All'' 
\ei

\item
Most select different WBS tasks.
different tasks.
\bi
\item
All the manual divisions (``orbits'', ``prime'', ``profile'') select
for very similar tasks.
\item
Only the automatic divisions separate from each other and from ``All''
\ei
\end{itemize}
\item
Test for separation
\bi
\item For each division, summarize the distributions;
\item Run each distribution through SILAP; record selected WBS tasks;
\item Compare the selected WBS tasks.
\ei
\end{itemize}
\end{slide}
