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Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.
Parametric estimating models are mathematical models containing cost estimating relationships (CERs) developed through data collection and regression analysis. The TruePlanning Software model provides activity-based parametric models to aid in the estimation of new software development, integrations of Commercial Off-the-Shelf (COTS) Software ...
A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process. The cost estimate has a single total value and may have identifiable component values. A problem with a cost overrun can be avoided with a credible, reliable, and accurate cost estimate. A cost ...
A parametric model is a set of related mathematical equations that incorporates variable parameters. A scenario is defined by selecting a value for each parameter. Software project managers use software parametric models and parametric estimation tools to estimate their projects' duration, staffing and cost.
Software size is a key input to any estimating model and across most software parametric models. Supported sizing metrics include source lines of code (SLOC), function points, function-based sizing (FBS) and a range of other measures. They are translated for internal use into effective size ().
Parametric estimating uses mathematic models in order to make reliable and logical predictions between a cost objective and its resultant costs. [14] [15] Parametric estimating (also called parametric formulas) is a mathematical representation of cost relationships, that provide a logical and predictable correlation between the physical or ...
The perhaps most common estimation methods today are the parametric estimation models COCOMO, SEER-SEM and SLIM. They have their basis in estimation research conducted in the 1970s and 1980s and are since then updated with new calibration data, with the last major release being COCOMO II in the year 2000.
The Constructive Cost Model (COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. The model parameters are derived from fitting a regression formula using data from historical projects (63 projects for COCOMO 81 and 163 projects for COCOMO II).