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| O. Mizuno and H. Hata, "An Integrated Approach to Detect Fault-Prone Modules Using Complexity and Text Feature Metrics," In Proc. of 2010 International Conference on Advanced Science and Technology (AST2010), LNCS 6059, pp. 457-468, June 2010. | |
| ID | 610 |
| 分類 | 国際会議(査読付) |
| タグ | approach complexity detect fault-prone feature integrated metrics modules text full-paper |
| 表題 (title) |
An Integrated Approach to Detect Fault-Prone Modules Using Complexity and Text Feature Metrics |
| 表題 (英文) |
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| 著者名 (author) |
Osamu Mizuno,Hideaki Hata |
| 英文著者名 (author) |
Osamu Mizuno,Hideaki Hata |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Osamu Mizuno,Hideaki Hata |
| 書籍・会議録表題 (booktitle) |
Proc. of 2010 International Conference on Advanced Science and Technology (AST2010) |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
LNCS 6059 |
| 号数 (number) |
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| ページ範囲 (pages) |
457-468 |
| 組織名 (organization) |
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| 出版元 (publisher) |
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| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
6 |
| 出版年 (year) |
2010 |
| 採択率 (acceptance) |
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| URL |
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| 付加情報 (note) |
Miyazaki, Japan |
| 注釈 (annote) |
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| 内容梗概 (abstract) |
Earlydetectionoffault-proneproductsisnecessarytoassurethequal- ity of software product. Therefore, fault-prone module detection is one of the major and traditional area of software engineering. Although there are many ap- proaches to detect fault-prone modules, they have their own pros and cons. Conse- quently, it is recommended to use appropriate approach on the various situations. This paper tries to show an integrated approach using two different fault-prone module detection approaches. To do so, we prepare two approaches of fault-prone module detection: a text feature metrics based approach using naive Bayes classifier and a complexity metrics based approach using logistic regression. The former one is proposed by us and the latter one is widely used approach. For the data for application, we used data obtained from Eclipse, which is publicly available. From the result of pre-experiment, we find that each approach has the pros and cons. That is, the text feature based approach has high recall, and complexity metrics based approach has high precision. In order to use their merits effectively, we proposed an integrated approach to apply these two approaches for fault-prone module detection. The result of experiment shows that the proposed approach shows better accuracy than each approach. |
| 論文電子ファイル | 利用できません． |
| BiBTeXエントリ |
@inproceedings{id610,
title = {An Integrated Approach to Detect Fault-Prone Modules using Complexity and Text Feature Metrics},
author = {Osamu Mizuno and Hideaki Hata},
booktitle = {Proc. of 2010 International Conference on Advanced Science and Technology (AST2010)},
volume = {LNCS 6059},
pages = {457-468},
month = {6},
year = {2010},
note = {Miyazaki, Japan},
}
|