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Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report multiclass classification
http://hdl.handle.net/10061/12743
http://hdl.handle.net/10061/127431a03ca63-0f89-4dd2-a75d-b314c751221d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
fulltext (587.8 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
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| 公開日 | 2018-10-30 | |||||
| タイトル | ||||||
| タイトル | Comparing hierarchical dirichlet process with latent dirichlet allocation in bug report multiclass classification | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | pattern classification | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | program debugging | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | software maintenance | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | hierarchical Dirichlet process | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | latent Dirichlet allocation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | bug report multiclass classification | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | LDA | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | nonparametric approach | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | topic modeling method | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | HDP | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Niobium | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Logistics | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Accuracy | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Data models | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Resource management | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Tuning | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Data mining | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | bug classification | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | topic modeling | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | bug reports | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Hierarchical Dirichlet Process | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Latent Dirchlet Allocation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | multiclass classification | |||||
| 資源タイプ | ||||||
| 資源タイプ | conference paper | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| 著者 |
Limsettho, Nachai
× Limsettho, Nachai× 畑, 秀明× Matsumoto, Ken-ichi |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Bug reports play essential roles in many software engineering tasks. Since validity and performance of these tasks definitely rely on the quality of bug reports, accurate information from bug reports is very important. However, as found in previous study, significant numbers of reports classified as bug are not really a bug. Recent studies proposed techniques to automatically classify bug reports into binary classes, yet there is still more to desire. These bug reports can be classified into multiple classes, which could help to identify what these reports are actually about. Moreover, previous study only looks into one possibility of topic modeling, that is, Latent Dirichlet Allocation (LDA). While LDA has its advantage, parameter tuning is required. In this paper, we propose a nonparametric approach to automatically classify bug reports with, another topic modeling method, Hierarchical Dirichlet Process (HDP). The result indicates that our nonparametric approach performance is comparable to the parametric one. We also examine various aspects of LDA to provide more thoroughly understanding of this process. | |||||
| 書誌情報 |
p. 1-6, 発行日 2014 |
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| 会議情報 | ||||||
| 会議名 | SNPD 2014 : 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing | |||||
| 開催期間 | 30 June-2 July 2014, | |||||
| 開催地 | Las Vegas NV | |||||
| 開催国 | USA | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 出版者版DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/SNPD.2014.6888695 | |||||
| 権利 | ||||||
| 権利情報 | c Copyright IEEE 2014 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | AM | |||||
