SEL@KIT: S. Amasaki, Y. Takagi, O. Mizuno, and T. Kikuno, Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development, June 2005.
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S. Amasaki, Y. Takagi, O. Mizuno, and T. Kikuno, "Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development," IEICE Trans. on Information and Systems, E88-D(6), pp. 1134-1141, June 2005.
ID 441
分類 学術論文誌(査読付)
タグ bayesian belief constructing development embedded final network predict quality
表題 (title) Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development
表題 (英文)
著者名 (author) Sousuke Amasaki,Yasunari Takagi,Osamu Mizuno,Tohru Kikuno
英文著者名 (author) Sousuke Amasaki,Yasunari Takagi,Osamu Mizuno,Tohru Kikuno
キー (key) Sousuke Amasaki,Yasunari Takagi,Osamu Mizuno,Tohru Kikuno
定期刊行物名 (journal) IEICE Trans. on Information and Systems
定期刊行物名 (英文)
巻数 (volume) E88-D
号数 (number) 6
ページ範囲 (pages) 1134-1141
刊行月 (month) 6
出版年 (year) 2005
Impact Factor (JCR) 0.242 (2005)
URL http://search.ieice.org/bin/summary.php?id=e88-d_6_1134&category=D&year=2005&lang=E&abst=
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) Recently, software development projects have been required to produce highly reliable systems
within a short period and with low cost. In such situation, software quality prediction helps to
confirm that the software product satisfies required quality expectations. In this paper, by using
a Bayesian Belief Network (BBN), we try to construct a prediction model based on relationships
elicited from the embedded software development process. On the one hand, according to
a characteristic of embedded software development, we especially propose to classify test and
debug activities into two distinct activities on software and hardware. Then we call the proposed
model the BBN for an embedded software development process. On the other hand, we define
the BBN for a general software development process to be a model which does not consider
this classification of activity, but rather, merges them into a single activity.
Finally, we conducted experimental evaluations by applying these two BBNs to actual project data.
As the results of our experiments show, the BBN for the embedded software development process
is superior to the BBN for the general development process and is applicable effectively for
effective practical use.
論文電子ファイル draft (application/pdf) [一般閲覧可]
BiBTeXエントリ
@article{id441,
         title = {Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development },
        author = {Sousuke Amasaki and Yasunari Takagi and Osamu Mizuno and Tohru Kikuno},
       journal = {IEICE Trans. on Information and Systems},
        volume = {E88-D},
        number = {6},
         pages = {1134-1141},
         month = {6},
          year = {2005},
    impactfactor = {0.242 (2005)},
}
  

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