RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL

Lirong Xiong, Zibin Niu, Jing Fan

Abstract

Traditional component description methods lack sufficient semantic information. It is difficult for users to find suitable components to match their requirements. And it is also difficult in doing automatic composition and verification of components. Furthermore, the component trustworthiness is an important factor that must be considered during component composition process. Feature-Oriented Domain Analysis (FODA) that uses features and relations between features to describe the problem domain can provide necessary supports to component composition. This paper focuses on component functional semantics and component trustworthiness. A feature meta-model is proposed to provide sufficient semantic information, and trustworthiness is taken into account in the feature meta-model. Based on feature meta-model, it presents the component composition algorithm. Finally, an application of the approach in the credit evaluation domain is presented.

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Paper Citation


in Harvard Style

Xiong L., Niu Z. and Fan J. (2011). RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8425-55-3, pages 214-222. DOI: 10.5220/0003484302140222


in Bibtex Style

@conference{iceis11,
author={Lirong Xiong and Zibin Niu and Jing Fan},
title={RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2011},
pages={214-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003484302140222},
isbn={978-989-8425-55-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL
SN - 978-989-8425-55-3
AU - Xiong L.
AU - Niu Z.
AU - Fan J.
PY - 2011
SP - 214
EP - 222
DO - 10.5220/0003484302140222