An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems

Shinichi Honiden, Kazuhiko Nishimura, Naoshi Uchihira, Kiyoshi Itoh

研究成果: Article査読

5 被引用数 (Scopus)

抄録

This paper describes an application of artificial intelligence technology to the implementation of a rapid prototyping method in Object-Oriented Performance Design (OOPD) for real-time systems. OOPD consists of two prototyping phases for real-time systems. And each of these phases consists of three steps prototype construction, prototype execution, and prototype evaluation. We present the following artificial intelligence based methods and tools to be applied to the individual steps. In the prototype construction step, a rapid construction mechanism using reusable software components is implemented based on planning. In the prototype execution step, a hybrid inference mechanism is used to execute the constructed prototype described in declarative knowledge representation. MENDEL, which is a Prolog based concurrent object-oriented language, can be used as a prototype construction tool and a prototype execution tool. In the prototype evaluation step, an expert system which is based on qualitative reasoning is implemented to detect and diagnose bottlenecks and generate an improvement plan for them.

本文言語English
ページ(範囲)849-867
ページ数19
ジャーナルIEEE Transactions on Software Engineering
20
11
DOI
出版ステータスPublished - 1994 11
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア

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