• DocumentCode
    3112335
  • Title

    Function Point Analysis to knowledge representation of software size measurement

  • Author

    Ren, Yongchang ; Xing, Tao ; Quan, Qiang

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Bohai Univ., Jinzhou, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    In Function Point Analysis through the technique of case-based reasoning(CBR), use the expert system to measure the software size, is the new method of software measurement, the knowledge representation is the basis of this new method. In this paper, firstly, analyze the role of the function point analysis in the software measurement; then describe the knowledge representation method of Production Rules in detail; finally, propose the data model of the function point analysis for software size measurement, to analyze the Technical complexity factors and their weights of the model, then carry out knowledge representation on function point analysis. The results show that, the knowledge representation used in this paper, can simulate the human thinking process of problem solving, has features as Naturalness, modularity, efficiency, clarity, etc, on the application of Function Point Analysis to measure the size having good reference value.
  • Keywords
    case-based reasoning; data models; expert systems; knowledge representation; software cost estimation; software metrics; case based reasoning; data model; expert system; function point analysis; human thinking process; knowledge representation; problem solving; production rules; software size measurement; technical complexity factor; Application software; Expert systems; Knowledge representation; Production; Size measurement; Software measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765224
  • Filename
    5765224