A Feature-Based Service Identification Method to Improve Productivity of Service-Oriented System

Dongsu KANG, CheeYang SONG, Doo-Kwon BAIK
2010 IEICE transactions on information and systems  
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. key words: service identification, feature model, productivity
doi:10.1587/transinf.e93.d.3392 fatcat:y7fe7jpeivd4bj7ykzi2aoogh4