Study of Information Retrieval Systems and Software Reuse Libraries

نویسندگان

  • Usa Rungratchakanon
  • Hisham M. Haddad
چکیده

Classification of reusable software components is essential to successful software reuse initiatives and a critical feature of library development. This paper provides a survey of storage and retrieval methods and highlights the main characteristics of each class of methods. The work focuses on information retrieval methods with emphasis on Component Rank and Latent Semantic Analysis models that are applied to component classification. These models have shown to provide efficient storage and retrieval algorithms as they narrow the results of a user query and provide accurate component selection. Thus, leading to efficient reusable repository. Keyword: Reuse Libraries, Asset Classification, Asset Retrieval, and Retrieval Methods.

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تاریخ انتشار 2006