Estimation in software engineering
From Wikipedia, the free encyclopedia
The ability to accurately estimate the time/cost taken for a project to come to its successful conclusion has been a serious problem for software engineers. The use of 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.
Popular methods for estimation in software engineering include:
- Parametric Estimating
- Wideband Delphi
- Cocomo
- SLIM
- SEER-SEM Parametric Estimation of Effort, Schedule, Cost, Risk. Mimimum time and staffing concepts based on Brooks Law
- Function Point Analysis
- Proxy Based Estimation (PROBE) (from the Personal Software Process)
- The Planning Game (from Extreme Programming)
- Program Evaluation and Review Technique (PERT)
- Analysis Effort method
