• DocumentCode
    2538329
  • Title

    Automatic Identification of Knowledge Points from Program Code Based on Syntax Feature Tree

  • Author

    Sun, Cihai ; Liu, Hualing

  • Author_Institution
    Bus. Inf. Manage. Sch., Shanghai Inst. of Foreign Trade, Shanghai, China
  • fYear
    2012
  • fDate
    12-14 Oct. 2012
  • Firstpage
    310
  • Lastpage
    313
  • Abstract
    Whether it is in the program design training recommending system or in the code searching domain, it may need to identify or get the statistic of knowledge in the code. However, it is easy to be overlooked and to get errors using manual identification. Besides, it isn´t real-time. This paper will use the method that generate the syntax tree and use feature tree to match the knowledge in the syntax tree to identify code knowledge automatically. The experimental results show that the system can effectively and accurately gathers the statistic of knowledge in program code in real time.
  • Keywords
    program compilers; recommender systems; automatic identification; code searching; knowledge points; manual identification; program code; recommending system; syntax feature tree; Business; Data structures; Educational institutions; Manuals; Solids; Syntactics; Training; Automatic identification; Feature tree match; Syntax tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-4469-2
  • Type

    conf

  • DOI
    10.1109/BCGIN.2012.87
  • Filename
    6382528