• DocumentCode
    3011303
  • Title

    Improving Retrieval Effectiveness Using Ant Colony Optimization

  • Author

    Khode, Sandeep G. ; Bhatia, Rajesh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Thapar Univ., Patiala, India
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    737
  • Lastpage
    741
  • Abstract
    Software reuse is only effective if it is easier to locate and appropriately modify a reusable component than to write it from scratch. It is the use of existing software knowledge or artifacts also known as software components to build new software. There are two main problems in software reuse. First, classifying software modules in a component library is a major problem in software reuse. Second, identifying appropriate software components in a library or software component retrieval is an important task in software reuse: after all, components must be found before they can be reused. Many researchers have proposed various techniques to search and retrieve components. Proposed technique helps re-user to identify and retrieve software component. In its first step it matches keywords, their synonyms and their interrelationships. And then makes use of ant colony optimization, a probabilistic approach to generate rule for matching the component against the re-user query.
  • Keywords
    optimisation; query processing; software reusability; ant colony optimization; re-user query; retrieval effectiveness; software component retrieval; software reuse; Ant colony optimization; Application software; Appropriate technology; Computer science; Maintenance engineering; Software libraries; Software quality; Software systems; Telecommunication computing; Telecommunication control; Ant Colony Optimization; Component Retrieval; Software reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
  • Conference_Location
    Trivandrum, Kerala
  • Print_ISBN
    978-1-4244-5321-4
  • Electronic_ISBN
    978-0-7695-3915-7
  • Type

    conf

  • DOI
    10.1109/ACT.2009.187
  • Filename
    5375839