Y. Higo, K. Murao, S. Kusumoto, and K. Inoue, "Predicting Fault-Prone Modules Based on Metrics Transitions," In Proc. of the International Workshop on Defects in Large Software Systems (DEFECTS2008), pp. 6-10 July 2008.
ID 31
分類 国際会議
タグ predicting fault-prone modules metrics transitions
表題 (title) Predicting Fault-Prone Modules Based on Metrics Transitions
表題 (英文)
著者名 (author) Yoshiki Higo,Kenji Murao,Shinji Kusumoto,Katsuro Inoue
英文著者名 (author) Yoshiki Higo,Kenji Murao,Shinji Kusumoto,Katsuro Inoue
編者名 (editor)
編者名 (英文)
キー (key) Yoshiki Higo,Kenji Murao,Shinji Kusumoto,Katsuro Inoue
書籍・会議録表題 (booktitle) Proc. of the International Workshop on Defects in Large Software Systems (DEFECTS2008)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 6-10
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 7
出版年 (year) 2008
採択率 (acceptance)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) This paper describe a method for identifying fault-prone modules. The method utilizes metrics transitions rather than raw metrics values. Metrics transitions are measured from the source code of consecutive versions, which is archived in software repositories. Metrics transitions should be an good indicator of software quality because they reflect how the software system has evolved. This paper exhibits a case study, which is a comparison between metrics transitions and CK metrics suite. In the case study, the metrics transitions could precisely identify fault-prone modules.

論文電子ファイル 0 (application/pdf) [一般閲覧可]
BiBTeXエントリ
@inproceedings{id31,
         title = {Predicting Fault-Prone Modules Based on Metrics Transitions},
        author = {Yoshiki Higo and Kenji Murao and Shinji Kusumoto and Katsuro Inoue},
     booktitle = {Proc. of the International Workshop on Defects in Large Software Systems (DEFECTS2008)},
         pages = {6-10},
         month = {7},
          year = {2008},
}