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Bug report recommendation for code inspection
http://hdl.handle.net/10061/12739
http://hdl.handle.net/10061/12739f538ccaa-2873-4a16-b010-e30ab752694a
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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PubDate | 2018-10-30 | |||||
Title | ||||||
Title | Bug report recommendation for code inspection | |||||
Language | ||||||
Language | eng | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | program debugging | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | project management | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | public domain software | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | recommender systems | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | source code (software) | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | open source software projects | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | bug report relevancy ranking | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | VSM | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | vector space model | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | source file inspection | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | failure descriptions | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | bug removal | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | bug detection | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Eclipse | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Mozilla Firefox | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | code inspection | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | bug report recommendation | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Inspection | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Vectors | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Computer bugs | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Analytical models | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Open source software | |||||
Keyword | ||||||
Subject Scheme | Other | |||||
Subject | Data mining | |||||
Resource Type | ||||||
Resource Type | conference paper | |||||
Access Right | ||||||
Access Rights | open access | |||||
Creator |
Fujiwara, Shin
× Fujiwara, Shin× Hata, Hideaki× Monden, Akito× 松本, 健一 |
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Abstract | ||||||
Description Type | Abstract | |||||
Description | Large software projects such as Mozilla Firefox and Eclipse own more than ten thousand bug reports that have been reported but left unresolved. To utilize such a great amount of unresolved bug reports and accelerate bug detection and removal, we propose to a way recommend programmers a bug report that is likely to contain failure descriptions related to a source file being inspected. We employ the vector space model (VSM) to make a relevancy ranking of bug reports to a given source file. The result of an experiment using data of three open source software projects showed that the accuracies of recommendations ranged from 21.74% to 60.05% in terms of the percentage of recommendations that contained relevant bug reports in a top 10 recommended list. | |||||
Bibliographic data |
p. 9-12, Issue Date 2015 |
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Conference infomation | ||||||
Conference Name | SWAN 2015 : 2015 IEEE 1st International Workshop on Software Analytics | |||||
Conference Date | 2 March 2015, | |||||
Conference Place | Montreal QC | |||||
Conference Country | CAN | |||||
Publisher | ||||||
Publisher | IEEE | |||||
DOI (Pub ver.) | ||||||
Relation Type | isVersionOf | |||||
Rights | ||||||
Rights | c Copyright IEEE 2015 | |||||
Version | ||||||
Version Type | AM |