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

Shinichi Honiden, Kazuhiko Nishimura, Naoshi Uchihira, Kiyoshi Itoh

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)849-867
Number of pages19
JournalIEEE Transactions on Software Engineering
Issue number11
Publication statusPublished - 1994 Nov
Externally publishedYes


  • Artificial intelligence
  • object-oriented design
  • performance design
  • planning
  • qualitative reasoning
  • real-time systems
  • software prototyping

ASJC Scopus subject areas

  • Software


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