• DocumentCode
    1842037
  • Title

    Component search and reuse: An ontology-based approach

  • Author

    Alnusair, Awny ; Zhao, Tian

  • Author_Institution
    Dept. of EECS, Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
  • fYear
    2010
  • fDate
    4-6 Aug. 2010
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    In order to realize the full potential of software reuse, effective search techniques are indeed essential. In this paper, we propose a semantic-based approach for retrieving relevant components from a reuse repository. This approach utilizes an ontology model that includes a source-code ontology, a component ontology, and a domain-specific ontology. Due to the indexing and knowledge population mechanisms we used, our approach supports various kinds of search techniques. However, our experiments show evidence that only pure semantic search that exploits domain knowledge tends to improve precision.
  • Keywords
    ontologies (artificial intelligence); software reusability; component ontology; component reuse; component search; domain knowledge; domain-specific ontology; indexing mechanisms; knowledge population mechanisms; search techniques; software reuse; source-code ontology; Libraries; OWL; Object oriented modeling; Ontologies; Resource description framework; Semantics; Software; Component retrieval; Semantic inference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2010 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8097-5
  • Type

    conf

  • DOI
    10.1109/IRI.2010.5558931
  • Filename
    5558931