Detail view
O. Mizuno, "On Effects of Tokens in Source Code to Accuracy of Fault-Prone Module Prediction," In Proc. of the 17th International Computer Science and Engineering Conference (ICSEC2013), 103 - 108, September 2013.
ID 674
分類 国際会議(査読付)
タグ accuracy code effects fault-prone module prediction source tokens
表題 (title) On Effects of Tokens in Source Code to Accuracy of Fault-Prone Module Prediction
表題 (英文)
著者名 (author) Osamu Mizuno
英文著者名 (author) Osamu Mizuno
編者名 (editor)
編者名 (英文)
キー (key) Osamu Mizuno
書籍・会議録表題 (booktitle) Proc. of the 17th International Computer Science and Engineering Conference (ICSEC2013)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 103 - 108
組織名 (organization)
出版元 (publisher) IEEE
出版元 (英文)
出版社住所 (address)
刊行月 (month) 9
出版年 (year) 2013
採択率 (acceptance) 57%, 73/128
URL http://dx.doi.org/10.1109/ICSEC.2013.6694761
付加情報 (note) Bangkok, Thailand
注釈 (annote) Selected paper
内容梗概 (abstract) In the software development, defects affect quality and cost in an
adverse way. Therefore, various studies have been proposed defect
prediction techniques. Most of current defect prediction approaches
use past project data for building prediction models. That is,
these approaches are difficult to apply new development projects
without past data. In this study, we use 28 versions of 8 projects
to conduct experiments using the fault-prone filtering technique.
Fault-prone filtering is a method that predicts faults using tokens
from source code modules. Since the classes of tokens have impact to
the accuracy of fault-proneness, we conduct an experiment to find
appropriate token sets for prediction. From the results of
experiments, we found that using tokens extracted from all parts of
modules is the best way to predict faults and using tokens extracted
from code part of modules shows better precision.

論文電子ファイル 利用できません．
BiBTeXエントリ 
@inproceedings{id674,
         title = {On Effects of Tokens in Source Code to Accuracy of Fault-prone Module Prediction},
        author = {Osamu Mizuno},
     booktitle = {Proc. of the 17th International Computer Science and Engineering Conference (ICSEC2013)},
         pages = {103 - 108},
     publisher = {IEEE},
         month = {9},
          year = {2013},
    acceptance = {57\%, 73/128},
          note = {Bangkok, Thailand},
        annote = {Selected paper},
}