• DocumentCode
    608309
  • Title

    A Note on Static Software Reliability Models by GMDH: Comparison with a Multiple Regression Model

  • Author

    Kimura, M. ; Shimada, R.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Hosei Univ., Koganei, Japan
  • fYear
    2012
  • fDate
    18-19 Nov. 2012
  • Firstpage
    28
  • Lastpage
    33
  • Abstract
    This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of a multiple regression analysis in this study. We first explain the concept of GMDH approach briefly and then, we discuss how the better model is constructed. By using the actual data sets from the upper process of the real software development, we try to estimate the number of inherent software faults. We compare two proposed models with a traditional multiple regression model in terms of the goodness-of-fit to the data sets.
  • Keywords
    regression analysis; software fault tolerance; GMDH approach; group method-of-data handling; multiple regression model; software development; software fault; software reliability estimation; static software reliability model; GMDH; Regression analysis; Software project data; Software quality management; Software reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Transportation Systems/Recent Advances in Software Dependability (WDTS-RASD), 2012 Workshop on
  • Conference_Location
    Niigata
  • Print_ISBN
    978-1-4799-0315-3
  • Type

    conf

  • DOI
    10.1109/WDTS-RASD.2012.15
  • Filename
    6532145