文章基本信息

标题：SINGLE REPOSITORY FOR SOFTWARE COMPONENT SELECTION (SRSCS): A REUSABLE SOFTWARE COMPONENT SELECTION TECHNIQUE
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作者：YOUNAS WAHAB ; MUHAMMAD IMRAN BABAR ; SHAHBAZ AHMED 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：26
期号：1
出版社：Journal of Theoretical and Applied
摘要：This work contributes a novel approach for selection of reusable components based on Functional Requirements using SRSCS (Single Repository for Software Component Selection) mechanism. Different repositories are available for reusable components and to select the best qualifying component from those repositories, customers must visit all those one by one and will select the best qualifying component based on their requirements. SRSCS selects the reusable component based on the Functional Requirements, and as it is a black box process so the source, based on which the component is qualified, is the description of the component provided by the Owner Organization. SRSCS�s main purpose is to provide a single point of the access to the customers from where they can select their required component instead of visiting all the repositories one by one. SRSCS extract information about the reusable component from different repositories, transform the description provided by the owner organization in order to classify information and remove the redundant information and store it on the single place i.e. SRSCS repository. SRSCS process consists of Extraction, Transformation, Loading and Component selection steps. In �Extraction� step information is extracted from the Owner Organization. In Transformation step, information is transformed, redundancy is removed and components are classified based on Type of the components. In Loading step the extracted information is loaded into the single SRSCS repository, and in the Component Selection step, customer sets the priorities of all information provided and the component is selected totally on the customer�s choice. SRSCS has made the selection easy with improved time efficiency as compared to other approaches. All the components are available in one place and the results are accurate.
关键词：Extraction; Transformation; Loading; Component Selection Process; MultiLoad; FastExport