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| O. Mizuno, T. Hamasaki, Y. Takagi, and T. Kikuno, "An Empirical Evaluation of Predicting Runaway Software Projects Using Bayesian Classification," In Proc. of 5th International Conference on Product Focused Software Process Improvement (PROFES2004), LNCS 3009, pp. 263-273, April 2004. | |
| ID | 417 |
| 分類 | 国際会議(査読付) |
| タグ | full-paper bayesian classification empirical evaluation predicting projects runaway software |
| 表題 (title) |
An Empirical Evaluation of Predicting Runaway Software Projects Using Bayesian Classification |
| 表題 (英文) |
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| 著者名 (author) |
Osamu Mizuno,Takanari Hamasaki,Yasunari Takagi,Tohru Kikuno |
| 英文著者名 (author) |
Osamu Mizuno,Takanari Hamasaki,Yasunari Takagi,Tohru Kikuno |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Osamu Mizuno,Takanari Hamasaki,Yasunari Takagi,Tohru Kikuno |
| 書籍・会議録表題 (booktitle) |
Proc. of 5th International Conference on Product Focused Software Process Improvement (PROFES2004) |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
LNCS 3009 |
| 号数 (number) |
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| ページ範囲 (pages) |
263-273 |
| 組織名 (organization) |
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| 出版元 (publisher) |
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| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
4 |
| 出版年 (year) |
2004 |
| 採択率 (acceptance) |
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| URL |
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| 付加情報 (note) |
Nara, Japan |
| 注釈 (annote) |
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| 内容梗概 (abstract) |
Since software development projects often fall into runaway
situations, detecting signs of runaway status in early stage of development has become important. In this paper, we propose a new scheme for the prediction of runaway projects based on an empirical questionnaire. We first design a questionnaire from five viewpoints within the projects: requirements, estimations, planning, team organization, and project management activities. Each of these viewpoints consists of questions in which experience and knowledge of software risks are included. Secondly, we classify projects into ``runaway'' and ``success'' using resultant metrics data. We then analyze the relationship between responses to the questionnaire and the runaway status of projects by the Bayesian classification. The experimental result using actual project data shows that 33 out of 40 projects were predicted correctly. As a result, we confirm that the prediction of runaway projects is successful. |
| 論文電子ファイル | draft (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@inproceedings{id417,
title = {An Empirical Evaluation of Predicting Runaway Software Projects Using {Bayesian} Classification},
author = {Osamu Mizuno and Takanari Hamasaki and Yasunari Takagi and Tohru Kikuno},
booktitle = {Proc. of 5th International Conference on Product Focused Software Process Improvement (PROFES2004)},
volume = {LNCS 3009},
pages = {263-273},
month = {4},
year = {2004},
note = {Nara, Japan},
}
|