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O. Mizuno and H. Hata, "Yet Another Metric for Predicting Fault-Prone Modules," In Proc. of 2009 International Conference on Advanced Software Engineering & Its Applications (ASEA2009), CCIS 59, pp. 296-304, December 2009. | |
ID | 593 |
分類 | 国際会議(査読付) |
タグ | another fault-prone metric modules predicting yet full-paper |
表題 (title) |
Yet Another Metric for Predicting Fault-Prone Modules |
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 2009 International Conference on Advanced Software Engineering & Its Applications (ASEA2009) |
書籍・会議録表題(英文) |
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巻数 (volume) |
CCIS 59 |
号数 (number) |
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ページ範囲 (pages) |
296-304 |
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) |
12 |
出版年 (year) |
2009 |
採択率 (acceptance) |
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URL |
http://www.springerlink.com/content/r3684x73711x2653/?p=8be0833d56924b17ac62403e408c66d4&pi=0 |
付加情報 (note) |
Cheju, Korea |
注釈 (annote) |
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内容梗概 (abstract) |
Recently, machine learning approaches have been widely used for fault-proneness detection. Introduction of machine learning approaches induces development of new software metrics for fault-prone module detection. We have proposed an approach to detect fault-prone modules using the spam-filtering technique. To treat our approach as the conventional fault-prone approaches, we summarize the output of spam-filtering based approach as a metric. In this paper, we show the effectiveness of our new metric comparing the conventional software metrics.
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論文電子ファイル | 利用できません. |
BiBTeXエントリ |
@inproceedings{id593, title = {Yet Another Metric For Predicting Fault-Prone Modules}, author = {Osamu Mizuno and Hideaki Hata}, booktitle = {Proc. of 2009 International Conference on Advanced Software Engineering \& Its Applications (ASEA2009)}, volume = {CCIS 59}, pages = {296-304}, month = {12}, year = {2009}, note = {Cheju, Korea}, } |