• DocumentCode
    2224200
  • Title

    Business Rule Extraction from Legacy System Using Dependence-Cache Slicing

  • Author

    Gang, Xie

  • Author_Institution
    Coll. of Math. & Comput. Sci., Guizhou Normal Univ., Guiyang, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4214
  • Lastpage
    4218
  • Abstract
    Business rules are operational rules that business organizations follow to perform various activities. We summarize researches for business rule extraction from legacy system and find that the limitation of these methods is to use static slicing, because static slicing sometimes produces a large portion of a source program, especially for programs with array and pointer variable. This paper presents a method using dependence-cache slicing technique to extract business rules. The proposed approach has been implemented as a system and experimented with a number of programs. The finding shows that our proposed approach can greatly improve previous techniques in slice precision.
  • Keywords
    business data processing; cache storage; knowledge acquisition; program slicing; software maintenance; business organizations; business rule extraction; dependence-cache slicing; legacy system; source program; static slicing; Computer science; Data mining; Educational institutions; Information science; Input variables; Mathematics; Organizational aspects; Programming profession; Software maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.373
  • Filename
    5455182