Hybrid Recommendation System Approach for appropriate developer selection in BugRepositories

Abstract

The essential destination of this research is to develop a hybrid recommendation system methodology toenhance the overall performance accuracy of such existed systems, this recommendation approachnormally utilized to assign or propose a few counted numbers of programmers or developers that capableof resolving system's bug reports generated automatically from an open source bug repository, meaningthe system decides which programmers or developers should be taken into account to be in charge offinding a solution the bugs mentioned in the bug's report. The definition of the bug selection problems inbug repositories are the activities that developers achieve within program maintenance to fix some specificbugs. Because of lot of bugs are created daily, many developers required are quite large, therefore it isdifficult to specify the accurate programmers or developers to find a solution for the issues for specificbug inside the code. The article also aims to improve the accuracy results obtained than existed traditionalapproaches for this purpose. Besides, we have considered the case of prioritization of system developers,the case can be utilized to find an appropriate grade of developers' achievements as prior knowledge toassist the system in assigning of bug report issue. The results have found that the importance of developerscould support the bug triage worker more and help software tasks to solve the bugs fast and within requiredtime during development and support cycles of the software.