• DocumentCode
    3276793
  • Title

    Derivation of effective guidance for specification constructions from CDFD-based knowledge representations

  • Author

    Mat, Abdul Rahman ; Shaoying Liu

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    605
  • Lastpage
    610
  • Abstract
    A completeness and accurateness of a specification is depend on how appropriateness and relevancy of the questions during a process of developing the specification. The process of providing an effective question requires several stages and need more discussions between system analyst and knowledge engineer. In this paper, we present on the structure of the questions in which are based on Context Data Flow Diagram (CDFD). In order to describe on how this method can be applied to derive an effective guidance, we use a case study of a brain tumor treatment system to assist and guide system analyst to construct the specification. Our aim is to develop a knowledge-based supporting tool to help system analyst in constructing formal specification.
  • Keywords
    data flow analysis; formal specification; knowledge based systems; patient treatment; CDFD-based knowledge representations; context data flow diagram; effective guidance derivation; formal specification; knowledge-based supporting tool; specification constructions; Registers; brain tumor treatment system; cdfd; formal engineering method; knowledge representation; sofl;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615381
  • Filename
    6615381