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O. Mizuno and H. Hata, "A Metric to Detect Fault-Prone Software Modules Using Text Classifier," International Journal of Reliability and Safety, 7(1), pp. 17-31, February 2013.
ID 602
分類 学術論文誌(査読付)
タグ classifier detect fault-prone metric modules software text
表題 (title) A Metric to Detect Fault-Prone Software Modules Using Text Classifier
表題 (英文)
著者名 (author) Osamu Mizuno,Hideaki Hata
英文著者名 (author) Osamu Mizuno,Hideaki Hata
キー (key) Osamu Mizuno,Hideaki Hata
定期刊行物名 (journal) International Journal of Reliability and Safety
定期刊行物名 (英文)
巻数 (volume) 7
号数 (number) 1
ページ範囲 (pages) 17-31
刊行月 (month) 2
出版年 (year) 2013
Impact Factor (JCR)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) Machine learning approaches have been widely used for fault-prone module 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 use our approach in the conventional fault-prone module prediction approaches, we construct a metric from the output of spam-filtering based approach. Using our new metric, we conducted an experiment to show the effect of new metric. The result suggested that use of new metric as well as conventional metrics is effective for accuracy of fault-prone module prediction.
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BiBTeXエントリ 
@article{id602,
         title = {A Metric to Detect Fault-Prone Software Modules Using Text Classifier},
        author = {Osamu Mizuno and Hideaki Hata},
       journal = {International Journal of Reliability and Safety},
        volume = {7},
        number = {1},
         pages = {17-31},
         month = {2},
          year = {2013},
}