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Due to increased size and complexity of software, software maintenance has become a very difficult task for developers, especially on bug fixing. For famous open source systems, the number of daily submitted bug reports is very high. Unfortunately, as most of bug reports were not assigned to appropriate developers for fixing related bugs, these bug reports need to be reassigned. A larger number of reassignments cause the time of bug fixing to increase and the fixing probability to decrease. In order to resolve this problem, it is necessary to recommend appropriate developers for fixing bugs. In this paper, we propose a new developer recommendation method for assigning appropriate developers to fix bugs. This method, based on social network and experts' feedback, recommends some candidate developers. We also consider the fixing efficiency and the experience of these candidate developers to rank the candidate developers. We have validated our approach on the famous software bug repository and showed the feasibility and availability of the method by experiments.
Zhang et al. (Sun,) studied this question.