Mining Bug Database for Detecting Potential Areas of Bug Occurrence

Vulnerability issues are important for any system, therefore, many testing approaches have been proposed so far. In social networking communities, there are lot of public pages and components where people might easily get access of the system inside. It is crucial to analyze the data from web applications specially data from the social networking websites to provide security to the users of the system. This paper aims to examine the classes of errors in a social networking site and propose clustering approach to identify the potential areas of fault/error logs on social networking site.