SEL@KIT: A. Yamada and O. Mizuno, A Text Filtering Based Approach to Classify Bug Injected and Fixed Changes, August 2014.
  • リスト
  •  表 
  • LaTeX
  • BibTeX
  • 統計情報
Detail view
Tweet
A. Yamada and O. Mizuno, "A Text Filtering Based Approach to Classify Bug Injected and Fixed Changes," In Proc. of 12th International Conference on Software Engineering Research, Management and Applications (SERA2014), pp. 680-686, August 2014.
ID 686
分類 国際会議(査読付)
タグ approach bug changes classify filtering fixed injected text
表題 (title) A Text Filtering Based Approach to Classify Bug Injected and Fixed Changes
表題 (英文)
著者名 (author) Akihisa Yamada,Osamu Mizuno
英文著者名 (author) Akihisa Yamada,Osamu Mizuno
編者名 (editor)
編者名 (英文)
キー (key) Akihisa Yamada,Osamu Mizuno
書籍・会議録表題 (booktitle) Proc. of 12th International Conference on Software Engineering Research, Management and Applications (SERA2014)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 680-686
組織名 (organization)
出版元 (publisher) IEEE CPS
出版元 (英文)
出版社住所 (address)
刊行月 (month) 8
出版年 (year) 2014
採択率 (acceptance) 59%, 19/32
URL DOI 10.1109/IIAI-AAI.2014.141
付加情報 (note) Kitakyushu, Japan
注釈 (annote)
内容梗概 (abstract) Approaches to detect fault-prone modules have been studied for a long time. As one of these approaches, we proposed a technique using a text filtering technique. We assume that bugs relate to words and context that are contained in a software module. Our technique treats a module as text information. Based on the dictionary which was learned by classifying modules which induce bugs, the bug inducing prob- ability over a target module is calculated, and it judges whether the given module is a fault-prone module. The predictive granularity of this technique is a module.
In this study, we aimed at prediction with the finer gran- ularity of the portion which induces a bug. Specifically, we tried to predict bug inducing changes by using source code differences of bug inducing changes and previous changes and a text filtering technique. Similarly, we tried to bug fixing predict by using source code differences of bug fixing changes and previous changes and a text filtering technique. To show the effectiveness of our approach, we conducted two experiments and compared our approach with fault-prone filtering by applying it to two open source projects, and obtained higher accuracy.

論文電子ファイル 利用できません.
BiBTeXエントリ
@inproceedings{id686,
         title = {A Text Filtering Based Approach to Classify Bug Injected and Fixed Changes},
        author = {Akihisa Yamada and Osamu Mizuno},
     booktitle = {Proc. of 12th International Conference on Software Engineering Research, Management and Applications (SERA2014)},
         pages = {680-686},
     publisher = {IEEE CPS},
         month = {8},
          year = {2014},
    acceptance = {59\%, 19/32},
          note = {Kitakyushu, Japan},
}
  

Search

Tags

1 件の該当がありました. : このページのURL : HTML : RSS : XML

Language: 英語 | 日本語 || ログイン |

This site is maintained by o-mizuno.
PMAN 3.2.10 build 20181029 - Paper MANagement system / (C) 2002-2016, Osamu Mizuno
Time to show this page: 0.27722 seconds.