Composition-based mapping of design plans into implementation-level architectures

Yasuo Nagai, Shinichi Honiden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper describes a mapping method using composition for software reuse in object-oriented constraint programming (OOCP) languages. We discuss the mapping of design plans using an OOCP language. We also apply this mapping, using composition in an OOCP language, to a mechanical design problem and demonstrate the effectiveness of our approach.

Original languageEnglish
Title of host publicationProceedings of the Conference on Artificial Intelligence Applications
PublisherPubl by IEEE
Pages484-485
Number of pages2
ISBN (Print)081865550X
Publication statusPublished - 1994 Jan 1
Externally publishedYes
EventProceedings of the 10th Conference on Artificial Intelligence for Applications - San Antonio, TX, USA
Duration: 1994 Mar 11994 Mar 4

Other

OtherProceedings of the 10th Conference on Artificial Intelligence for Applications
CitySan Antonio, TX, USA
Period94/3/194/3/4

Fingerprint

Computer programming languages
Chemical analysis
Computer software reusability

ASJC Scopus subject areas

  • Software

Cite this

Nagai, Y., & Honiden, S. (1994). Composition-based mapping of design plans into implementation-level architectures. In Proceedings of the Conference on Artificial Intelligence Applications (pp. 484-485). Publ by IEEE.

Composition-based mapping of design plans into implementation-level architectures. / Nagai, Yasuo; Honiden, Shinichi.

Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE, 1994. p. 484-485.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nagai, Y & Honiden, S 1994, Composition-based mapping of design plans into implementation-level architectures. in Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE, pp. 484-485, Proceedings of the 10th Conference on Artificial Intelligence for Applications, San Antonio, TX, USA, 94/3/1.
Nagai Y, Honiden S. Composition-based mapping of design plans into implementation-level architectures. In Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE. 1994. p. 484-485
Nagai, Yasuo ; Honiden, Shinichi. / Composition-based mapping of design plans into implementation-level architectures. Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE, 1994. pp. 484-485
@inproceedings{dcb7d9e71d6340ef9d9fd748f0de7819,
title = "Composition-based mapping of design plans into implementation-level architectures",
abstract = "This paper describes a mapping method using composition for software reuse in object-oriented constraint programming (OOCP) languages. We discuss the mapping of design plans using an OOCP language. We also apply this mapping, using composition in an OOCP language, to a mechanical design problem and demonstrate the effectiveness of our approach.",
author = "Yasuo Nagai and Shinichi Honiden",
year = "1994",
month = "1",
day = "1",
language = "English",
isbn = "081865550X",
pages = "484--485",
booktitle = "Proceedings of the Conference on Artificial Intelligence Applications",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Composition-based mapping of design plans into implementation-level architectures

AU - Nagai, Yasuo

AU - Honiden, Shinichi

PY - 1994/1/1

Y1 - 1994/1/1

N2 - This paper describes a mapping method using composition for software reuse in object-oriented constraint programming (OOCP) languages. We discuss the mapping of design plans using an OOCP language. We also apply this mapping, using composition in an OOCP language, to a mechanical design problem and demonstrate the effectiveness of our approach.

AB - This paper describes a mapping method using composition for software reuse in object-oriented constraint programming (OOCP) languages. We discuss the mapping of design plans using an OOCP language. We also apply this mapping, using composition in an OOCP language, to a mechanical design problem and demonstrate the effectiveness of our approach.

UR - http://www.scopus.com/inward/record.url?scp=0028336343&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028336343&partnerID=8YFLogxK

M3 - Conference contribution

SN - 081865550X

SP - 484

EP - 485

BT - Proceedings of the Conference on Artificial Intelligence Applications

PB - Publ by IEEE

ER -