• DocumentCode
    1705837
  • Title

    An Analysis of Accuracy and Learning in Software Project Estimating

  • Author

    Zapata, A.H. ; Chaudron, M.R.V.

  • Author_Institution
    Leiden Inst. of Adv. Comput. Sci., Leiden, Netherlands
  • fYear
    2012
  • Firstpage
    414
  • Lastpage
    421
  • Abstract
    This paper presents a study into the accuracy of different dimensions of IT project estimating: schedule, budget & effort. The study is based on a dataset of 171 projects that have been collected at the IT-department of a large Dutch multinational company. The paper also analyses whether there is any learning (improvement) effect over time. Our results show that there is no relation between accuracy of budget, schedule and effort in the analyzed organization. Besides, they show that over time there is no change of the accuracy effectiveness and efficiency. The paper reflects and provides recommendations on how to improve the learning from historical estimates.
  • Keywords
    learning (artificial intelligence); project management; software management; accuracy effectiveness; efficiency; large Dutch multinational company; learning; software project estimation; Accuracy; Calibration; Estimation; Industries; Organizations; Schedules; Software; Project estimation; accuracy of estimation; budget; management; organizational learning; schedule; time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on
  • Conference_Location
    Cesme, Izmir
  • Print_ISBN
    978-1-4673-2451-9
  • Type

    conf

  • DOI
    10.1109/SEAA.2012.46
  • Filename
    6328183