The Business of Software: The Goldilocks Estimate.

The author discusses project estimates in software development, arguing that organizations often make decisions based on low quality estimates made quickly with little research or spend too much time and money accounting for any possible uncertainty in a project estimate. He outlines a formula for t...

Descripción completa

Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 55; no. 10; pp. 24 - 26
Autor principal: Armour, Phillip G.
Formato: Opinion
Publicado: Association for Computing Machinery Oct2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=82148623&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 82148623
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00010782
        ACM
      jtl: Communications of the ACM
      issn: 00010782
      maglogo: N
    pubinfo:
      dt: Oct2012
      vid: 55
      iid: 10
      pid: 68
      pub: Association for Computing Machinery
    artinfo:
      ui:
        82148623
        10.1145/2347736.2347745
      ppf: 24
      ppct: 2
      formats:
      tig:
        atl: The Business of Software: The Goldilocks Estimate.
      aug:
        au: Armour, Phillip G.
        affil:
          Senior consultant, Corvus International Inc., Deer Park, IL,
          Consultant, QSM Inc., McLean, VA.
      su:
        Cost estimates
        Decision making in business
        Project finance
        Computer software development
        Mathematical models
        Cost
      sug:
        subj:
          Cost estimates
          Decision making in business
          Project finance
          Computer software development
          Mathematical models
          Cost
      ab: The author discusses project estimates in software development, arguing that organizations often make decisions based on low quality estimates made quickly with little research or spend too much time and money accounting for any possible uncertainty in a project estimate. He outlines a formula for the calculation of an estimate which optimizes time and cost on the basis of project goal target cost and the parameter of the business practice supported by the project.
      pubtype: Periodical
      doctype: Opinion
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 2012
    holdings:
      @attributes:
        islocal: N