5 May
2014
5 May
'14
5:38 p.m.
Yes, Pangea could help you: http://scg.unibe.ch/research/pangea
Right now in pangea we start from from a collection of java systems (+100)
generate for each the mse, generate for each an image.
When you run an analysis we run the analysis in each image (in parallel)
and give you the results.
However, you'll need to add your collection of systems as a new corpus in
Pangea.
That should go more or less without problems, but we didn't really test
that yet.
Cheers,
Andrei
On Mon, May 5, 2014 at 5:30 PM, Johan Fabry <jfabry(a)dcc.uchile.cl> wrote:
Mircea gave me a demo last week of his work on Pangea. I think it could be
of help in your case.
On May 5, 2014, at 11:12 AM, Alexandre Bergel <alexandre.bergel(a)me.com>
wrote:
Hi!
I am currently analyzing 80 Pharo applications for which I need to
compute for
each class of these 80 applications, the lcom2 and lcom3
metrics.
Computing these metrics needs to have the
attributes, methods, and
access in the moose model. Which is rather heavy. I have
tried to augment
the memory setting given to the VM, but this does not work much. For now, I
am trying to run moose as follows:
/Users/alexandrebergel/Dropbox/PharoVM/Pharo.app/Contents/MacOS/Pharo
-memory
5000m /Users/alexandrebergel/Downloads/moose-5-10/moose-5.0.image
Is there an alternative to this? What I could do, is for each project,
create a
full model, call #lcom2 and #lcom3 on each class to compute the
metric, and then trim out the model by removing what I do not need
(everything except FAMIXClass). Is there an easy way to do such a
transformation on a moose model?
Cheers,
Alexandre
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
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