• DocumentCode
    2031627
  • Title

    A Measurement Method of Software Flexibility Based on BP Network

  • Author

    Niu, Jingchun ; Shen, Limin ; Peng, Siwei ; Li, Feng

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An approach for software flexibility measurement and measurement indexes based on BP neural network were proposed. By using the self-organizing, self-learning and self- adapting properties of BP neural networks, the rule of software flexibility measurement indexes weight concealed in the training data could be learned by means of BP neural networks automatically adjust indexes weight of measurement. Therefore the influence of random factors could be overcome. In order to validate the proposed method, the software flexibility measurement model based on BP neural network was established. 10 samples were trained and 2 samples were tested. Analysis results show that we could get satisfying precision of the software flexibility measurement and the method is feasible in the software flexibility measurement.
  • Keywords
    backpropagation; self-organising feature maps; software engineering; unsupervised learning; BP neural network; measurement indexes; self-adapting properties; self-learning properties; self-organizing properties; software flexibility; Application software; Artificial neural networks; Computer architecture; Educational institutions; Network topology; Neural networks; Software measurement; Software systems; User interfaces; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072635
  • Filename
    5072635