Automatic Fault Detection and Analysis for DBMSs

Numbers And Finance

The diagnosis of faults and fixing of bugs is a major part of any large DBMS project. In this project we work on the design and implementation of a system for the automatic detection and localisation of bugs in DBMSs. We explore the benefits of using stack traces to diagnose faults compared to traditional logging systems; And the different techniques that can be used to collect information and present it to the DBMS user in a meaningful way and to automatically use the collected information to diagnose faults.

Honours Project


Image credit: Numbers And Finance by Ken Teegardin via Creative Commons Attribution-ShareAlike 2.0 Generic licence.