• DocumentCode
    467063
  • Title

    Mining User Query Logs to Refine Component Description

  • Author

    Li, Yan ; Cheng, Shaobin ; Zhang, Lu ; Xie, Bing ; Sun, Jiasu

  • Author_Institution
    Peking Univ., Beijing
  • Volume
    1
  • fYear
    2007
  • fDate
    24-27 July 2007
  • Firstpage
    71
  • Lastpage
    78
  • Abstract
    How to help reusers retrieve components efficiently and conveniently is critical to the success of the component-based software development (CBSD). In the literature, many research efforts have been put into the improvement of component retrieval mechanisms. Although many different retrieval methods have been proposed, nowadays the component description text is still an important information source for retrieval. Unfortunately, the descriptions of components often contain improper or even noisy information which could deteriorate the effectiveness of the retrieval mechanism. To alleviate the problem, in this paper, we propose an approach which can refine the component description by mining user query logs. The key idea of our approach is to extract proper information from the user query logs to amend the description of the component. Besides, logs from similar components are also taken into consideration. To evaluate the effectiveness of our approach, we performed an experimental study on the JDK. The experimental results demonstrated an improvement in terms of retrieval effectiveness.
  • Keywords
    data mining; object-oriented programming; query processing; software reusability; component description refinement; component retrieval; component-based software development; information extraction; software reuse; user query log mining; Computer science; Computer science education; Data mining; Educational technology; Information retrieval; Laboratories; Performance evaluation; Programming; Software quality; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International
  • Conference_Location
    Beijing
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2870-8
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2007.149
  • Filename
    4290986