• DocumentCode
    2038689
  • Title

    An empirical study of a reverse engineering method for aggregation relationship based on operation propagation

  • Author

    Yeh, Dowming ; Sun, Pei-Chen ; Chu, William ; Lin, Chien-Lung ; Hongji Yang

  • Author_Institution
    National Kaohsiung Normal Univ., Taiwan
  • Volume
    1
  • fYear
    2005
  • fDate
    26-28 July 2005
  • Firstpage
    95
  • Abstract
    One of the major obstacles in reverse engineering legacy object-oriented systems is the identification of aggregation relationships. Most reverse engineering (RE) methods for aggregation relationships are based on the lifetime dependence of an object on another object since many implementations of aggregation relationships result in such dependence. However, research literature shows that lifetime dependence is not really a primary property of the aggregation relationships. A reverse engineering approach is proposed on propagation of operations. To compare the propagation-based method with the lifetime-based method, we apply both methods to ten class libraries, collect their output, and perform statistical analysis to determine the effectiveness of the two methods. The analysis results show that the propagation-based method performs significantly better than the lifetime-based method and by combing both methods the complete aggregation relationships may be reverse engineered in most object-oriented systems.
  • Keywords
    object-oriented programming; reverse engineering; software libraries; software maintenance; statistical analysis; aggregation relationship; class libraries; legacy object-oriented systems; object lifetime dependence; operation propagation; reverse engineering; statistical analysis; Application software; Industrial relations; Libraries; Object oriented modeling; Performance analysis; Programming profession; Reverse engineering; Software maintenance; Statistical analysis; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2413-3
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2005.44
  • Filename
    1510004