Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/25
Title: | A qos ontology-based component selection | Authors: | Yessad, Lamia Boufaida, Zizette |
Affiliations: | Faculty of Information and Communication Technology (ICT) Faculty of Information and Communication Technology (ICT) |
Keywords: | Computer Science - Software Engineering; Computer Science - Software Engineering | Date: | 2-Sep-2011 | Journal: | International Journal on Soft Computing ( IJSC ) | Abstract: | In the component-based software development, the selection step is very important. It consists of searching and selecting appropriate software components from a set of candidate components in order to satisfy the developer-specific requirements. In the selection process, both functional and non-functional requirements are generally considered. In this paper, we focus only on the QoS, a subset of non-functional characteristics, in order to determine the best components for selection. The component selection based on the QoS is a hard task due to the QoS descriptions heterogeneity. Thus, we propose a QoS ontology which provides a formal, a common and an explicit description of the software components QoS. We use this ontology in order to semantically select relevant components based on the QoS specified by the developer. Our selection process is performed in two steps: (1) a QoS matching process that uses the relations between QoS concepts to pre-select candidate components. Each candidate component is matched against the developer's request and (2) a component ranking process that uses the QoS values to determine the best components for selection from the pre-selected components. The algorithms of QoS matching and component ranking are then presented and experimented in the domain of multimedia components. |
Description: | 15 pages, 5 figures, 6 tables |
URI: | http://dspace.univ-constantine2.dz/handle/123456789/25 http://arxiv.org/abs/1109.0324v1 |
DOI: | 10.5121/ijsc.2011.2302 |
Appears in Collections: | Journal Articles |
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1109.0324.pdf | 490.96 kB | Adobe PDF | View/Open |
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