How to recommend appropriate developers for bug fixing?

Tao Zhang, Byungjeong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 36th Annual IEEE International Computer Software and Applications Conference, COMPSAC 2012
Pages170-175
Number of pages6
DOIs
StatePublished - 2012
Event36th IEEE Annual International Computer Software and Applications Conference, COMPSAC 2012 - Izmir, Turkey
Duration: 16 Jul 201220 Jul 2012

Publication series

NameProceedings - International Computer Software and Applications Conference
ISSN (Print)0730-3157

Conference

Conference36th IEEE Annual International Computer Software and Applications Conference, COMPSAC 2012
Country/TerritoryTurkey
CityIzmir
Period16/07/1220/07/12

Keywords

  • Bug fixing
  • Developer recommendation
  • Feedback
  • Fixing efficiency
  • Reassignment
  • Social network

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