Introduction to Software Engineering/Project Management/Cost Estimation

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The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development process has, in recent years, shown itself to be the most effective method of gaining useful historical data that can be used for statistical estimation. In particular, the act of sampling more frequently, coupled with the loosening of constraints between parts of a project, has allowed more accurate estimation and more rapid development times.

Methods[edit]

Popular methods for estimation in software engineering include:

  • Analysis Effort method
  • COCOMO
  • COSYSMO
  • Evidence-based Scheduling Refinement of typical agile estimating techniques using minimal measurement and total time accounting.
  • Function Point Analysis
  • Parametric Estimating
  • PRICE Systems Founders of Commercial Parametric models that estimates the scope, cost, effort and schedule for software projects.
  • Proxy-based estimating (PROBE) (from the Personal Software Process)
  • Program Evaluation and Review Technique (PERT)
  • SEER-SEM Parametric Estimation of Effort, Schedule, Cost, Risk. Mimimum time and staffing concepts based on Brooks's law
  • SLIM
  • The Planning Game (from Extreme Programming)
  • Weighted Micro Function Points (WMFP)
  • Wideband Delphi

External links[edit]