Analyzing many large projects

> 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
> ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
>
>
>
> _______________________________________________
> Moose-dev mailing list
> [hidden email]
> https://www.iam.unibe.ch/mailman/listinfo/moose-dev
>

> 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 <[hidden email]> 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 <[hidden email]> 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
> > ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
> >
> >
> >
> > _______________________________________________
> > Moose-dev mailing list
> > [hidden email]
> > https://www.iam.unibe.ch/mailman/listinfo/moose-dev
> >
>
>
>
> ---> Save our in-boxes! http://emailcharter.org <---
>
> Johan Fabry   -   http://pleiad.cl/~jfabry
> PLEIAD lab  -  Computer Science Department (DCC)  -  University of Chile
>
>
> _______________________________________________
> Moose-dev mailing list
> [hidden email]
> https://www.iam.unibe.ch/mailman/listinfo/moose-dev
>
> _______________________________________________
> Moose-dev mailing list
> [hidden email]
> https://www.iam.unibe.ch/mailman/listinfo/moose-dev