• DocumentCode
    1828266
  • Title

    Fuzzy Model Tree for Early Effort Estimation

  • Author

    Azzeh, Mohammad ; Nassif, Ali Bou

  • Author_Institution
    Dept. of Software Eng., Appl. Sci. Univ., Amman, Jordan
  • Volume
    2
  • fYear
    2013
  • fDate
    4-7 Dec. 2013
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    Use Case Points (UCP) is a well-known method to estimate the project size, based on Use Case diagram, at early phases of software development. Although the Use Case diagram is widely accepted as a de-facto model for analyzing object oriented software requirements over the world, UCP method did not take sufficient amount of attention because, as yet, there is no consensus on how to produce software effort from UCP. This paper aims to study the potential of using Fuzzy Model Tree to derive effort estimates based on UCP size measure using a dataset collected for that purpose. The proposed approach has been validated against Tree boost model, Multiple Linear Regression and classical effort estimation based on the UCP model. The obtained results are promising and show better performance than those obtained by classical UCP, Multiple Linear Regression and slightly better than those obtained by Tree boost model.
  • Keywords
    fuzzy set theory; object-oriented methods; regression analysis; software engineering; trees (mathematics); UCP method; early effort estimation; fuzzy model tree; multiple linear regression; object oriented software requirements; project size estimation; software development; tree boost model; use case diagram; use case points method; Estimation; Mathematical model; Object oriented modeling; Predictive models; Regression tree analysis; Software; Training; Effort Estimation; Fuzzy Modelling; Model tree; Use Case Points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2013 12th International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • DOI
    10.1109/ICMLA.2013.115
  • Filename
    6786092