• DocumentCode
    3067744
  • Title

    Evaluating the reverse engineering capabilities of Web tools for understanding site content and structure: a case study

  • Author

    Tilley, Scott ; Huang, Shihong

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Riverside, CA, USA
  • fYear
    2001
  • fDate
    12-19 May 2001
  • Firstpage
    514
  • Lastpage
    523
  • Abstract
    This paper describes an evaluation of the reverse engineering capabilities of three Web tools for understanding site content and structure. The evaluation is based on partitioning Web sites into three classes (static, interactive, and dynamic), and is structured using an existing reverse engineering environment framework (REEF). This case study also represents an initial evaluation of the applicability of the REEF in the related but qualitatively different domain of Web sites. The case study highlights several shortcomings of current Web tools in the context of aiding understanding to support evolution. For example, most Web tools are geared towards new page design and development, not to understanding detailed page content or overall site structure. The evaluation also identified some aspects of the REEF that might benefit from refinement to better reflect Web tool capabilities that support common evolution tasks. For example, Web server log file analysis as a specialized form of data gathering and subsequence information presentation.
  • Keywords
    Internet; information resources; reverse engineering; Internet; REEF; Web server log file analysis; Web site content; Web site reverse engineering; Web tools; case study; data gathering; reverse engineering environment framework; Application software; Companies; Computer architecture; Computer science; Information analysis; Large-scale systems; Libraries; Reverse engineering; Web page design; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2001. ICSE 2001. Proceedings of the 23rd International Conference on
  • ISSN
    0270-5257
  • Print_ISBN
    0-7695-1050-7
  • Type

    conf

  • DOI
    10.1109/ICSE.2001.919126
  • Filename
    919126