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From "Nascif Abousalh-Neto (JIRA)" <j...@apache.org>
Subject [jira] Updated: (IVY-896) Add GDF as a report output format
Date Sat, 06 Sep 2008 03:46:44 GMT

     [ https://issues.apache.org/jira/browse/IVY-896?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Nascif Abousalh-Neto updated IVY-896:
-------------------------------------

    Attachment: sp.jpg

A screenshot of processing an Ivy dependency graph in GUESS - the nodes between two nodes
was isolated and then the shortest path was highlighted.

> Add GDF as a report output format
> ---------------------------------
>
>                 Key: IVY-896
>                 URL: https://issues.apache.org/jira/browse/IVY-896
>             Project: Ivy
>          Issue Type: New Feature
>          Components: Core
>    Affects Versions: 2.0.0-beta-1
>            Reporter: Nascif Abousalh-Neto
>            Priority: Minor
>             Fix For: unspecified
>
>         Attachments: gdf.xsl, sp.jpg
>
>
> We have been dealing with some very large graphs here (thousands of nodes, tens of thousands
of edges) and the information density is so high that the graph visualization tools supported
by Ivy, GraphViz and yED, were not up to the task.
> Then we found out about GUESS (http://graphexploration.cond.org/), which takes a novel
approach which combines visualization support (using JUNG, an excellent library in itself)
with a DSL for graph manipulation based on Jython. This way a user can issue commands and
run scripts that manipulate the graph contents with immediate visual feedback. We have been
using it and has proven to be a great match for our use cases.
> GUESS claims to suport graphml but it was not able to parse the graphml report generated
by Ivy. So I coded an XSL that creates GDF from the Ivy resolution report XML. Besides working
:-) this method keeps the relevant (but non-visual) attributes from the original report in
the GDF as well. These can be later used in GUESS to group nodes, create convex hulls, calculate
metrics, and so on.

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