• DocumentCode
    1737838
  • Title

    Learning how to improve effort estimation in small software development companies

  • Author

    Moses, John ; Clifford, John

  • Author_Institution
    Sch. of Comput., Eng. & Technol., Sunderland Univ., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    522
  • Lastpage
    527
  • Abstract
    Small software development companies have special effort estimation requirements. In particular, small companies often find that they must tender for contracts for which they have no expertise in the project problem or solution domains. In addition, they have little spare capacity for project management and improvement. They have therefore no formal way of learning how to improve future effort estimates. A discussion of why small software company effort estimation needs are likely to be different to larger companies is provided; and a proposal for specific support for effort estimation in smaller companies is given. The support takes the form of a simple Bayesian statistical modelling approach. The approach can be used by estimators to learn how to improve the consistency of their estimation in existing and in novel problem and solution domains
  • Keywords
    Bayes methods; DP industry; contracts; project management; software cost estimation; software development management; contracts; effort estimation improvement; effort estimation requirements; estimation consistency; future effort estimates; larger companies; mis-classification tendencies; project management; project problem; simple Bayesian statistical modelling approach; small software development companies; solution domains; Accuracy; Bayesian methods; Computer Society; Contracts; Gears; Mathematical model; Personnel; Programming; Project management; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2000. COMPSAC 2000. The 24th Annual International
  • Conference_Location
    Taipei
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-0792-1
  • Type

    conf

  • DOI
    10.1109/CMPSAC.2000.884776
  • Filename
    884776