• DocumentCode
    2109614
  • Title

    An Approach to Construct Software Just-In-Time Based on Domain Expert System

  • Author

    Xing, Shaomin ; Zhou, Bosheng ; Chen, Tianying

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Beihang Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    Business-end programming can enable end-users to develop software just-in-time. Existing business programming approaches lack guidance for end-users who have little experiences for development. Meanwhile the efficiency of development is low and the correctness of application systems are difficult to guarantee. So a novel business-end programming approach based on domain expert system (DES) was proposed. First, a programming framework for end-users was presented. Then the DES was established based on Bayesian network structure learning and parameter learning. After that, a heuristic method for end-user programming taking DES as core component was proposed. This method could recommend business services to end-users in the process of programming relying on DES. It also provided real-time guidance and help end-users to complete programming step by step. Next, the realization of the method was illustrated and an example was demonstrated. Finally, the effect of this method was discussed and analyzed. The results show that this method was effective for end-user programming.
  • Keywords
    Bayes methods; business data processing; expert systems; learning (artificial intelligence); optimisation; software engineering; Bayesian network structure learning; business-end programming; domain expert system; heuristic method; parameter learning; software just-in-time development; bayesian networks; business end programming; domain expert systems; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering, 2008. ISISE '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-2727-4
  • Type

    conf

  • DOI
    10.1109/ISISE.2008.121
  • Filename
    4732167