• DocumentCode
    496869
  • Title

    Detecting Functional Dependence Program Invariants Based on Data Mining

  • Author

    Liu Shukun ; Yang Xiaohua

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Hunan Int. Econ. Univ., Changsha, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    With the development of computer science and technology, software has been widely applied in all kinds of business. It has been a very popular and important application system. So the quality of software causes more serious attention than before. Design by program invariant is a very important method which is used to improve quality of software. In this paper, a theory model of dynamically detecting technology of program invariant was built. And a new method of dynamically generating technology of program invariant of functional dependence based on the theory of database was showed. In this way, program invariant of functional dependence can be detected in a nimble way. Experiments have been done and the result demonstrates that the method is obviously reliable and efficient.
  • Keywords
    computer science; data mining; software quality; business; computer science; data mining; functional dependence program; quality of software; Application software; Assembly; Computer science; Contracts; Data mining; Databases; Information processing; Instruments; Software quality; Testing; dynamically generating; program invariants; quality of software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.91
  • Filename
    5197064