相関を考慮したRBFネットワークを用いたソフトウェアメトリクスデータの分析

• 後藤 一成

書誌事項

タイトル別名

• ANALYSIS OF SOFTWARE METRICS DATA BASED ON RBF NETWORKS CONSIDERING CORRELATION

抄録

type:Article

It is known that an RBF (Radial Basis Function) network model can be used to predict the number of inherent software faults from the data sets concerning software development data in the literature. To grasp the information on the number of software faults before beginning the testing process, can be the great help for the software development managers. The aim of this study is to provide the improved RBF network model in terms of the prediction accuracy. Therefore we propose a new RBF network model considering the correlation among the input data. In particular, we investigate the usefulness of introducing the correlation factors into the RBF networks and compare the performances between the proposed model and the previous one by using the actual data sets.

収録刊行物

• 法政大学大学院紀要. 理工学・工学研究科編

  法政大学大学院紀要. 理工学・工学研究科編 56 1-6, 2015-03-24

  法政大学大学院理工学・工学研究科

キーワード

• software reliability
• multivariate analysis
• RBF network
• neural network

詳細情報

• CRID: 1390290699807467008
• NII論文ID: 120005616034
• NII書誌ID: AA12677220
• ISSN: 21879923
• DOI: 10.15002/00011348
• Web Site: http://hdl.handle.net/10114/10664
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • IRDB
  • CiNii Articles