2022 Fiscal Year Final Research Report
Multi-view Models@run.time Framework
Project/Area Number |
17H00732
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Software
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Research Institution | Waseda University |
Principal Investigator |
Honiden Shinichi 早稲田大学, 理工学術院, 教授(任期付) (70332153)
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Co-Investigator(Kenkyū-buntansha) |
吉岡 信和 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (20390601)
鄭 顕志 早稲田大学, 理工学術院, 准教授(任期付) (40434295)
石川 冬樹 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (50455193)
胡 振江 国立情報学研究所, アーキテクチャ科学研究系, 教授 (50292769)
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Project Period (FY) |
2017-04-01 – 2022-03-31
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Keywords | 自己適応システム / 実行時モデル |
Outline of Final Research Achievements |
Systems are exposed to a wide variety of environmental changes that occur in the real world. In order to tolerate changes in the real-world environment during execution quickly and flexibly, and to maintain a wide variety of qualities such as availability, responsiveness, security, and robustness, automated adaptation using runtime information is required. To support the development of self-adaptive systems, runtime modeling techniques have been developed to maintain the models used during development at runtime, and to make decisions on system configuration changes based on models that reflect information during execution. In this study, we develop a runtime modeling technology and framework that cooperatively handles models from multiple viewpoints by extending the runtime modeling framework that has traditionally handled only the quality of a single viewpoint.
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Free Research Field |
ソフトウェア工学
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Academic Significance and Societal Importance of the Research Achievements |
自己適応システム技術によって扱える品質の範囲を拡大し,複数の品質を同時に扱えるようになることにより,先進的なシステムで導入が始まっている自動運用の有効性,対象範囲をさらに広げる.また,高度な自動運用ソフトウェアの開発方法を職人芸の作り込みによる開発から脱却させ,先進的なソフトウェアシステムの実用化を加速させる.
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