• DocumentCode
    3777296
  • Title

    A method for identification of crosscutting concerns based on goal model and two-state algorithm

  • Author

    Chengwan He; Shuiqin Ye

  • Author_Institution
    School of Computer Science and Engineering, Wuhan Institute of technology, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    431
  • Lastpage
    435
  • Abstract
    To identify crosscutting concerns in the requirement phase, this paper proposes a method for discovering crosscutting concerns based on goal model and two-state algorithm. We analyze each phenomena of goal model and summarize the identification rules. Crosscutting concerns are identified by calculating the scatter and centralization values of goals. The method includes four steps: building the goal model, transforming the goal model, discovering the crosscutting concerns by identification rules, and composing the crosscutting concerns with the goals affected by them. We illustrate the method through a case study (a ticket booking management system). The results show that the two-state algorithm can more effectively identify crosscutting concerns in the requirement phase.
  • Keywords
    "Analytical models","Computational modeling","Software","XML","Business","Atmospheric modeling"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490784
  • Filename
    7490784