See http://stacktrack.github.io
Clone repository
git clone git@github.com:stacktrack/stacktrack.github.com.git
cd stacktrack.github.com
Load database
mysql stacktrack < database/stacktrack.sql
Generate a graph
python src/Graph.py tun_get_user -r -e
Usage
usage: Graph.py [-h] [-v VERBOSE] [-r] [-e] [-a] [-d DIRECTORY]
[nodes [nodes ...]]
positional arguments:
nodes
optional arguments:
-h, --help show this help message and exit
-v VERBOSE, --verbose VERBOSE
Logging level (10: debug, 20 : info, etc )
-r, --callers Export caller tree
-e, --callees Export caller tree
-a, --allnodes Dump all nodes
-d DIRECTORY, --directory DIRECTORY
Output directory
This repository contains following items:
-
The root folder contains all the files used to render the web interface on http://stacktrack.github.io
-
The src directory contains the source code used to create the json graphs
-
The database directory contains a dump of the xref database
-
The json directory contains some rendered graphs and traces
In order to create your own graphs you need the following setup:
- Linux server with virsh, gdb, samba, mysql
- Guest vm with a kernel compiled with debug symbols (I used the "kernel-config" .config)
- The database needs to be loaded and Graph.py must be able to create graphs