H. Hata, O. Mizuno, and T. Kikuno, "Bug Prediction Based on Fine-Grained Module Histories," In Proc. of 34th International Conference on Software Engineering (ICSE2012), pp. 200-210 June 2012.
ID 212
分類 国際会議
タグ bug fine-grained histories module prediction
表題 (title) Bug Prediction Based on Fine-Grained Module Histories
表題 (英文)
著者名 (author) Hideaki Hata,Osamu Mizuno,Tohru Kikuno
英文著者名 (author) Hideaki Hata,Osamu Mizuno,Tohru Kikuno
編者名 (editor)
編者名 (英文)
キー (key) Hideaki Hata,Osamu Mizuno,Tohru Kikuno
書籍・会議録表題 (booktitle) Proc. of 34th International Conference on Software Engineering (ICSE2012)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 200-210
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 6
出版年 (year) 2012
採択率 (acceptance) 21.3%, 87/408
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) There have been many bug prediction models built with historical metrics, which are mined from version histories of software modules. Many studies have reported the effectiveness of these historical metrics. For prediction levels, most studies have targeted package and file levels. Prediction on a fine-grained level, which represents the method level, is required because there may be interesting results compared to coarse-grained (package and file levels) prediction. These results include good performance when considering quality assurance efforts, and new findings about the correlations between bugs and histories. However, fine-grained prediction has been a challenge because obtaining method histories from existing version control systems is a difficult problem. To tackle this problem, we have developed a fine-grained version control system for Java, Historage. With this system, we target Java software and conduct fine-grained prediction with well-known historical metrics. The results indicate that fine-grained (method-level) prediction outperforms coarse-grained (package and file levels) prediction when taking the efforts necessary to find bugs into account. Using a correlation analysis, we show that past bug information does not contribute to method-level bug prediction.
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BiBTeXエントリ
@inproceedings{id212,
         title = {Bug Prediction Based on Fine-Grained Module Histories},
        author = {Hideaki Hata and Osamu Mizuno and Tohru Kikuno},
     booktitle = {Proc. of 34th International Conference on Software Engineering (ICSE2012)},
         pages = {200-210},
         month = {6},
          year = {2012},
    acceptance = {21.3\%, 87/408},
}