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| S. Amasaki, T. Yoshitomi, O. Mizuno, Y. Takagi, and T. Kikuno, "A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation," Software Quality Journal, 13(2), pp. 177-193, June 2005. | |
| ID | 434 |
| 分類 | 学術論文誌(査読付) |
| タグ | applying challenge data estimation metrics quality series software time major-mizuno |
| 表題 (title) |
A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation |
| 表題 (英文) |
|
| 著者名 (author) |
Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Yasunari Takagi,Tohru Kikuno |
| 英文著者名 (author) |
Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Yasunari Takagi,Tohru Kikuno |
| キー (key) |
Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Yasunari Takagi,Tohru Kikuno |
| 定期刊行物名 (journal) |
Software Quality Journal |
| 定期刊行物名 (英文) |
|
| 巻数 (volume) |
13 |
| 号数 (number) |
2 |
| ページ範囲 (pages) |
177-193 |
| 刊行月 (month) |
6 |
| 出版年 (year) |
2005 |
| Impact Factor (JCR) |
0.529 (2005) |
| URL |
http://www.springerlink.com/content/l344q05u8681m7q2/ |
| 付加情報 (note) |
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| 注釈 (annote) |
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| 内容梗概 (abstract) |
In typical software development, a software reliability growth model
(SRGM) is applied in each testing activity to determine the time to finish the testing. However, there are some cases in which the SRGM does not work correctly. That is, the SRGM sometimes mistakes quality for poor quality products. In order to tackle this problem, we apply time series data collected from development to quality estimation. First, we investigate the characteristics of the time series data on the detected faults by observing the change of the number of detected faults. Using the rank correlation coefficient, the data are classified into four kinds of trends. Next, with the intention of estimating software quality, we investigate the relationship between the trends of the time series data and software quality. Here, software quality is defined by the number of faults detected during six months after shipment. Finally, we find a relationship between the trends and metrics data collected in the software design phase. Using logistic regression, we statistically show that two review metrics in the design \& coding phase can determine the trend. |
| 論文電子ファイル | draft (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@article{id434,
title = {A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation},
author = {Sousuke Amasaki and Takashi Yoshitomi and Osamu Mizuno and Yasunari Takagi and Tohru Kikuno},
journal = {Software Quality Journal},
volume = {13},
number = {2},
pages = {177-193},
month = {6},
year = {2005},
impactfactor = {0.529 (2005)},
}
|