Some people suggested trying moose for analysis of SAS programs, and I'm
trying to figure out where to start with the meta-modeling.
SAS is not object oriented, though parts of it could be imagined to be.
The main SAS code contains blocks of statements that begin with DATA or
PROC; each block could probably be thought of as a function--to be
precise, the application of a function.
If I want to make some new models, where do I start? FM3? FAMIX?
elsewhere? The 4.0 release announcement says FM3 and FAMIX3 are both
implemented in Fame, so maybe start with Fame? I've read some
documentation, but I can't tell.
My inspiration for the project is understanding how some SAS datasets
were produced. I have a system that creates numerous datasets, which
feed into later datasets, etc. This is split at least across a couple
of program files and it's really too complicated to keep in the brain.
If I get ambitious it would also be useful to trace where particular
variables came from, in the sense of both datasets and individual
expressions.
The only thing resembling a SAS parser I've run into (except for SAS,
which is closed source) is a Perl module, and it looked relatively
primitive. I've been using PetitParser, and at the point I started
thinking about what it would parse results into.
Thanks for any pointers.
Ross Boylan