This thesis deals with an automated approach to analyzing Linux core dumps. Core dumps are binary files that contain the runtime memory of a process running in a Linux based operating system. The dump analysis tool extracts and visualizes relevant information from core dumps. More advanced users can start a manual debugging session from within the web interface and thereby access all functions that a conventional debugger supports. By integrating the tool into a third party issue tracking system, core dumps are fetched and analyzed automatically. Therefore, the analysis is started as soon as a core dump is uploaded into the issue tracking system. The tool also keeps track of analysis results. The collected data can be filtered and visualized in order to provide a statistical evaluation but also to detect anomalies in the crash history.