• DocumentCode
    3283181
  • Title

    Applying Software Effort Estimation Model Based on Work Breakdown Structure

  • Author

    Wen-Tin Lee ; Kuo-Hsun Hsu ; Lee, Jeyull ; Jong Yih Kuo

  • Author_Institution
    Dept. of Software Eng., Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    192
  • Lastpage
    195
  • Abstract
    Software effort estimation is an important activity for effective project management. To support the prediction of efforts in the early stage of a software project development, we propose an effort estimation model along with a software effort estimation process to estimate project efforts from high level WBS. The proposed estimation model is composed of four original task assignment factors - team size, concurrency, intensity, and fragmentation and one newly proposed factor, named WBS effort. To demonstrate the feasibility of proposed model, a case study is presented. The result of the case study shows that comparing the proposed model with those that using original task assignment effort estimation model, the accuracy of the prediction is improved by applying the five factors. For the data examined, the proposed model also shows to have better results in goodness of fit and quality of estimation than original one.
  • Keywords
    software engineering; concurrency factor; effective project management; fragmentation factor; high level WBS; intensity factor; software effort estimation model; software project development; task assignment effort estimation model; team size factor; work breakdown structure; Analytical models; Computational modeling; Concurrent computing; Electric breakdown; Estimation; Planning; Software; Software Effort Estimations; WBS effort; Work Breakdown Structure; task assignment factor; use case point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.68
  • Filename
    6457256