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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).
AFCAA REVIC is a set of programs for use in estimating the cost of software development projects. [1] The Revised Enhanced Version of Intermediate COCOMO (REVIC) model is a copyrighted program available for public distribution under agreement with the REVIC developer, Ray Kile, and the U.S. Air Force Cost Analysis Agency (AFCAA).
The Constructive Systems Engineering Cost Model (COSYSMO) was created by Ricardo Valerdi while at the University of Southern California Center for Software Engineering. It gives an estimate of the number of person-months it will take to staff systems engineering resources on hardware and software projects.
Object points are an approach used in software development effort estimation under some models such as COCOMO II. [1] [2]Object points are a way of estimating effort size, similar to Source Lines Of Code (SLOC) or Function Points.
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.
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.
Boehm was one of the first researchers that systematically approached the field of software productivity. 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.
There are several cost, schedule, and effort estimation models which use SLOC as an input parameter, including the widely used Constructive Cost Model series of models by Barry Boehm et al., PRICE Systems True S and Galorath's SEER-SEM. While these models have shown good predictive power, they are only as good as the estimates (particularly the ...