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Kazuhiko Nishimura

dblp:09/135 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 50% Software maintenance and evolution · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 77% Performance modeling and evaluation · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › software design methodology
rapid prototyping
0.011994
An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems · IEEE Trans. Software Eng. 1994
Software maintenance and evolution › software reuse
reusable software components
0.011994
An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems · IEEE Trans. Software Eng. 1994
Embedded and real-time systems
real-time system design
0.011994
An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems · IEEE Trans. Software Eng. 1994
Performance modeling and evaluation › performance diagnosis
performance bottleneck diagnosis
0.011994
An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems · IEEE Trans. Software Eng. 1994

Methods — techniques the papers use, named apart from their topics

qualitative reasoning · 0.0prolog · 0.0planning · 0.0hybrid inference · 0.0expert system · 0.0
YearPublicationVenuePosition
1994 An Application of Artificial Intelligence to Object-Oriented Performance Design for Real-Time Systems
abstract
The 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. Each of these phases consists of three steps: prototype construction, prototype execution, and prototype evaluation. We present 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.>
Shinichi Honiden, Kazuhiko Nishimura, Naoshi Uchihira, Kiyoshi Itoh
IEEE Trans. Software Eng.2