Art

J-GLOBAL ID：201702244954772896   Reference number：17A1620062

AN ADAPTIVE COST-BASED SOFTWARE REJUVENATION SCHEME WITH NONPARAMETRIC PREDICTIVE INFERENCE APPROACH

非パラメトリック予測推論アプローチを用いた適応型費用ベースのソフトウェア更新スキーム

Author (2)： Rinsaka Koichiro (Kobe Gakuin University) ,  Dohi Tadashi (Hiroshima University)
Material： Journal of the Operations Research Society of Japan  (日本オペレーションズ・リサーチ学会論文誌)
Volume： 60  Issue： 4  Page： 461-478(J-STAGE)  Publication year： 2017 
JST Material Number： G0402A  ISSN： 0453-4514  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： reliability (property) ,  *renewal ,  deterioration (superannuation) ,  *non-parametric method ,  model ,  failure ,  disorder/trouble/obstacle ,  management ,  *program maintenance ,  simulation ,  forecast ,  cost ,  cost modeling ,  software management ,  system failure
Semi thesaurus term： cost ,  system failure ,  software upgrade ,  software maintenance ,  non-parametric method

Author keywords (7)： Reliability ,  software rejuvenation ,  software aging ,  statistical estimation ,  adaptive policy ,  non-parametric predictive inference ,  software cost model

JST classification (2)： Operations research in general  (KA03010Q) ,  Computer system operational management  (JD02020C)

Reference (45)：

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Terms in the title (5)： 予測 ,  推論 ,  費用 ,  ソフトウェア更新 ,  スキーム