5 May
2014
5 May
'14
6:42 p.m.
I will grab Mircea today
Alexandre
On May 5, 2014, at 11:38 AM, Andrei Chis <chisvasileandrei(a)gmail.com> wrote:
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:
--
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Alexandre Bergel http://www.bergel.eu
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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
--
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Alexandre Bergel http://www.bergel.eu
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