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| Y. Uneno, O. Mizuno, and E. Choi, "Using a Distributed Representation of Words in Localizing Relevant Files for Bug Reports," In Proc. of the 2016 IEEE International Conference on Software Quality, Reliability & Security (QRS2016), pp. 183-190, August 2016. | |
| ID | 718 |
| 分類 | 国際会議(査読付) |
| タグ | bug distributed files localizing relevant reports representation words major-mizuno |
| 表題 (title) |
Using a Distributed Representation of Words in Localizing Relevant Files for Bug Reports |
| 表題 (英文) |
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| 著者名 (author) |
Yukiya Uneno,Osamu Mizuno,Eun-Hye Choi |
| 英文著者名 (author) |
Yukiya Uneno,Osamu Mizuno,Eun-Hye Choi |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Yukiya Uneno,Osamu Mizuno,Eun-Hye Choi |
| 書籍・会議録表題 (booktitle) |
Proc. of the 2016 IEEE International Conference on Software Quality, Reliability & Security (QRS2016) |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
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| 号数 (number) |
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| ページ範囲 (pages) |
183-190 |
| 組織名 (organization) |
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| 出版元 (publisher) |
IEEE |
| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
8 |
| 出版年 (year) |
2016 |
| 採択率 (acceptance) |
43%, 48/111 |
| URL |
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| 付加情報 (note) |
Vienna, Austria |
| 注釈 (annote) |
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| 内容梗概 (abstract) |
Once a bug in software is reported, developers have to determine which source files are related to the bug. This process is referred to as bug localization, and an automatic way of bug localization is important to improve developers’ productivity. This paper proposes an approach called DrewBL to efficiently localize faulty files for a given bug report using a natural language processing tool, word2vec. In DrewBL, we first build a vector space model named semantic-VSM which represents a distributed representation of words in the bug report and source code files and next compute the relevance between them by feeding the constructed model to word2vec. We also present an approach called CombBL to further improve the accuracy of bug localization which employs not only the proposed DrewBL but also existing bug localization techniques, such as BugLocator based on textual similarity and Bugspots based on bug-fixing history, in a combinational manner. This paper gives our early experimental results to show the effectiveness and efficiency of the proposed approaches using two open source projects. |
| 論文電子ファイル | 利用できません． |
| BiBTeXエントリ |
@inproceedings{id718,
title = {Using a Distributed Representation of Words in Localizing Relevant Files for Bug Reports},
author = {Yukiya Uneno and Osamu Mizuno and Eun-Hye Choi},
booktitle = {Proc. of the 2016 IEEE International Conference on Software Quality, Reliability \& Security (QRS2016)},
pages = {183-190},
publisher = {IEEE},
month = {8},
year = {2016},
acceptance = {43\%, 48/111},
note = {Vienna, Austria},
}
|