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

Dongsu Kang, Chee Yang Song, Doo Kwon Baik

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)3392-3395
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE93-D
Issue number12
DOIs
Publication statusPublished - 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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