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Permanent link (DOI): https://doi.org/10.7939/R39D5P

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A Contextual Approach towards More Accurate Duplicate Bug Report Detection Open Access

Descriptions

Other title
Subject/Keyword
Software context
Issue-tracking systems
Duplicate bug reports
Bug report triaging
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Alipour, Anahita
Supervisor and department
Stroulia, Eleni (Computing Science)
Hindle, Abram (Computing Science)
Examining committee member and department
Miller, James (Department of Electrical and Computer Engineering)
Barbosa, Denilson (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2013-10-02T07:32:44Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
The issue-tracking systems used by software projects contain issues or bugs written by a wide variety of bug reporters, with different levels of knowledge about the system under development. Typically, reporters lack the skills and/or time to search the issue-tracking system for similar issues already reported. Hence, many reports end up referring to the same issue, which effectively makes the bug-report triaging process time consuming and error prone. Many researchers have approached the bug-deduplication problem using off-the-shelf information-retrieval tools. In this thesis, we extend the state of the art by investigating how contextual information about software-quality attributes, software-architecture terms, and system-development topics can be exploited to improve bug-deduplication. We demonstrate the effectiveness of our contextual bug-deduplication method on the bug repository of Android, Eclipse, Mozilla, and OpenOffice Software Systems. Based on this experience, we conclude that researchers should not ignore the context of the software engineering domain for deduplication.
Language
English
DOI
doi:10.7939/R39D5P
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Alipour, Anahita; Hindle, Abram; Stroulia, Eleni. (2013). A Contextual Approach towards More Accurate Duplicate Bug Report Detection.  http://dl.acm.org/citation.cfm?id=2487123

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