SEL@KIT: S. Abe, O. Mizuno, T. Kikuno, N. Kikuchi, and M. Hirayama, Estimation of Project Success Using Bayesian Classifier, May 2006.
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S. Abe, O. Mizuno, T. Kikuno, N. Kikuchi, and M. Hirayama, "Estimation of Project Success Using Bayesian Classifier," In Proc. of 28th International Conference on Software Engineering (ICSE2006), pp. 600-603, May 2006.
ID 466
分類 国際会議(査読付)
タグ bayesian classifier estimation project success major-mizuno short-paper icse
表題 (title) Estimation of Project Success Using Bayesian Classifier
表題 (英文)
著者名 (author) Seiya Abe,Osamu Mizuno,Tohru Kikuno,Nahomi Kikuchi,Masayuki Hirayama
英文著者名 (author) Seiya Abe,Osamu Mizuno,Tohru Kikuno,Nahomi Kikuchi,Masayuki Hirayama
編者名 (editor)
編者名 (英文)
キー (key) Seiya Abe,Osamu Mizuno,Tohru Kikuno,Nahomi Kikuchi,Masayuki Hirayama
書籍・会議録表題 (booktitle) Proc. of 28th International Conference on Software Engineering (ICSE2006)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 600-603
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 5
出版年 (year) 2006
採択率 (acceptance)
URL
付加情報 (note) Shanghai, China
注釈 (annote)
内容梗概 (abstract) The software projects are considered to be successful if the
cost and the duration are within the estimated ones and the
quality is satisfactory. To attain project success, the project
management, in which the final status of project is estimated,
must be incorporated.

In this paper, we consider estimation of the final status(that
is, successful or unsuccessful) of project by applying Bayesian
classifier to metrics data collected from project. In order to
attain high estimation accuracy rate, we must select only a
set of appropriate metrics to be applied. Here we consider two
selection methods: the first method by the experts and the second
method by the statistical test.

Then we conducted an experiment using 28 project data and 29
metrics data in an organization of a certain company. The result
showed that the method by the test gave higher accuracy rates than
the method by the experts, and Bayesian classifier with the test method is
effective to estimate project success.


論文電子ファイル draft (application/pdf) [一般閲覧可]
BiBTeXエントリ
@inproceedings{id466,
         title = {Estimation of Project Success Using Bayesian Classifier},
        author = {Seiya Abe and Osamu Mizuno and Tohru Kikuno and Nahomi Kikuchi and Masayuki Hirayama},
     booktitle = {Proc. of 28th International Conference on Software Engineering (ICSE2006)},
         pages = {600-603},
         month = {5},
          year = {2006},
          note = {Shanghai, China},
}
  

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