Ad
related to: cocomo model of cost estimation
Search results
Results From The WOW.Com Content Network
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 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 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.
Software project managers use software parametric models and parametric estimation tools to estimate their projects' duration, staffing and cost. In the early 1980s refinements to earlier models, such as PRICE S and SLIM, and new models, such as SPQR, Checkpoint, ESTIMACS, SEER-SEM or COCOMO and its commercial implementations PCOC, Costimator ...
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.
Over 225 models have been developed since early 1970s, however, several of them have similar if not identical assumptions. The models have two basic types - prediction modeling and estimation modeling. 1.0 Overview of Software Reliability Prediction Models. These models are derived from actual historical data from real software projects.
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 ...