A feature-based service identification method to improve productivity of service-oriented system

Dongsu Kang; Chee Yang Song; Doo Kwon Baik

doi:10.1587/transinf.E93.D.3392

A feature-based service identification method to improve productivity of service-oriented system

Dongsu Kang, Chee Yang Song, Doo Kwon Baik

* Honorary professors

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a feature-based service identification method to improve productivity using a feature relationship; where a feature can express service properties. We define the distance measured between features by considering their selective (node) and relational (edge) attributes and present the service boundary concept. The result of an evaluation of the proposed method shows that it has higher productivity than existing methods.

Original language	English
Pages (from-to)	3392-3395
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E93-D
Issue number	12
DOIs	https://doi.org/10.1587/transinf.E93.D.3392
Publication status	Published - 2010 Dec

Keywords

Feature model
Productivity
Service identification

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

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10.1587/transinf.E93.D.3392

Cite this

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AB - This paper proposes a feature-based service identification method to improve productivity using a feature relationship; where a feature can express service properties. We define the distance measured between features by considering their selective (node) and relational (edge) attributes and present the service boundary concept. The result of an evaluation of the proposed method shows that it has higher productivity than existing methods.

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A feature-based service identification method to improve productivity of service-oriented system

Abstract

Keywords

ASJC Scopus subject areas

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