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Closely related software parametric models are Constructive Cost Model , Parametric Review of Information for Costing and Evaluation – Software (PRICE-S), and Software Evaluation and Estimation of Resources – Software Estimating Model . A claimed advantage to this model is the simplicity of calibration.
These factors are essential to consider even when using formal estimation models, because much of the input to these models is judgment-based. Factors that have been demonstrated to be important are wishful thinking , anchoring , planning fallacy and cognitive dissonance .
Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project.
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).
The model then provides as output various resources requirements in cost and time. Some models concentrate only on estimating project costs (often a single monetary value). Little attention has been given to the development of models for estimating the amount of resources needed for the different elements that comprise a project. [1]
The UCP method was created to solve for estimating the software size of systems that were object oriented. It is based on similar principles as the Function Point (FP) estimation method, but was designed for the specific needs of object oriented systems and system requirements based on use cases. [1] [2] [3]
The Cocomo 2.0 Software Cost Estimation Model; The NASA Software Engineering Laboratory: Manager's Handbook for Software Development; The NASA Software Engineering Laboratory: Manager's Handbook for Software Development; Explanation of Cone of Uncertainty from Construx - Software Development Best Practices; The Cone of Uncertainty and Hurricane ...
His cost estimation model COCOMO - now COCOMO II [10] - is standard software engineering knowledge. In this model, he defines a set of factors that influence productivity, such as the required reliability or the capability of the analysts. These factors have been widely reused in other similar productivity approaches. The rest of the model is ...