4 Aug
2012
4 Aug
'12
5 p.m.
cool!
Nice to see softwareNaut on Pharo :)
Stef
On Aug 4, 2012, at 2:53 PM, Dennis Schenk wrote:
Sure,
The code can be found here:
MCHttpRepository
location: '
http://www.squeaksource.com/Softwarenaut
'
user: ''
password: ''
A prebuilt Pharo image with Softwarenaut can be found here:
http://ci.moosetechnology.org/job/softwarenaut-latest-dev/
Some information here: http://scg.unibe.ch/wiki/students/dennisschenk
And here are some pictures:
• Treemap of FAMIX: http://postimage.org/image/ck4vfoq77/
• Two treemap views of a "SimpleSample" Java Project (arrows are
dependencies): http://postimage.org/image/sq6qirdij/
• Treemap of argoUML-0.34: http://postimage.org/image/v3auh63m9/
The weights in these examples are LOC, but can be anything.
I added the popup text directly into the images, so you can see what is what.
These are of course work-in-progress snapshots. There are some bugs left. The next steps
are to create a simple user interface, make everything a bit more appealing visually and
working on the interactions.
Cheers,
Dennis
On Thu, Jul 26, 2012 at 7:52 AM, Tudor Girba <tudor(a)tudorgirba.com> wrote:
Could we get a preview of the code or at least a picture? :)
Doru
On 25 Jul 2012, at 16:24, Mircea Filip Lungu wrote:
Hello Moosers,
As you already know, Dennis is working on the hierarchical graph data structure and its
great associated visualization in Pharo :) We have been testing his code on software
systems which have an inherently hierarchical structure with low level relationships
propagating up along the package structure, but also thought we would try it on a
different type of hierarchical data. The two contributions (the HG data structure &
the visualization) are after all independent of the domain model.
Do you know of any data sources that have the following two properties?
1. There exists a set of relationships between low level, leaf entities
2. The low level, leaf entities can be aggregated along containment relationships
One example would be trade relationships existent between companies, can be aggregated to
regions, countries, continents...
If you are aware of such a data set, we'd offer a beer for the information :)
Cheers!
M.
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