Are All Duplicates Value-Neutral? An Empirical Analysis of Duplicate Issue Reports

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

Abstract

In open source communities, there are numerous duplicate issue reports, considered as useless and negligible by developers. Conversely, some researches argued that duplicates deliver complementary information that could benefit issueresolving. Considering all duplicates as value-neutral will result in either overestimation or underestimation of valuable information. It is necessary to be aware of whether all duplicates are redundant or beneficial. In this paper, we investigate whether duplicates have the same impacts on issue resolving and identification cost. We divide duplicates into three categories according to the statuses of master reports when duplicates are submitted. The results show duplicates in different categories play different roles in issue-resolving, and identification cost is also significantly different. Our study reveals duplicates are different, but almost are paid equal attentions. It is promising to propose new approaches and tools to resolve the problem.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-279
Number of pages8
ISBN (Electronic)9781728139272
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019 - Sofia, Bulgaria
Duration: 22 Jul 201926 Jul 2019

Publication series

NameProceedings - 19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019

Conference

Conference19th IEEE International Conference on Software Quality, Reliability and Security, QRS 2019
Country/TerritoryBulgaria
CitySofia
Period22/07/1926/07/19

Keywords

  • Duplicate Issue Report
  • Identification Cost
  • Master Report

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