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

Department of Software

Korea University

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

1 Scopus citations

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
State	Published - Dec 2010

Keywords

Feature model
Productivity
Service identification

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10.1587/transinf.E93.D.3392

Cite this

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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.",

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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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KW - Productivity

KW - Service identification

UR - https://www.scopus.com/pages/publications/78650023669

U2 - 10.1587/transinf.E93.D.3392

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M3 - Article

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JF - IEICE Transactions on Information and Systems

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ER -

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

Abstract

Keywords

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