COSCOMO

Cost Estimation for Online Courseware
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Last Modified Sunday, April 27, 2008 11:13:41 AM
COCOMO SCORM Cost Estimation Software 
 
COSCOMO is a modification of the COCOMO II Software Estimation algorithm. It accounts for unique products and processes that are required to create online, e-Learning courseware that conforms to the DoD SCORM standards. COSCOMO is the result of a DoD research project. It is freely available to any organization that would like to adopt it as a beginning point for a commercial product.
 
 

COCOMO SCORM Cost Model (COSCOMO) combines the method and algorithm behind COCOMO II and the process and products requird to create online courseware. Such modifications hae been very popular since COCOMO was introduced in 1981. To learn more about COSCOMO browse this site and visit:
 

COCOMO II is a model that allows one to estimate the cost, effort, and schedule when planning a new software development activity. It consists of three submodels, each one offering increased fidelity the further along one is in the project planning and design process. Listed in increasing fidelity, these submodels are called the Applications Composition, Early Design, and Post-architecture models. To learn more about COCOMO visit:
 


SCORM, the Sharable Content Object Reference Model, is a technical specification that governs how online training (or "e-learning") is created and delivered to learners. To learn more about SCORM, visit:

SCORM-conformant courseware content is difficult to measure in terms of complexity and development time; however, most people would agree that there are certain qualities (like level of interactivity) that make some web-based content more difficult to develop than other content. COSCOMO is an algorithm to assist both the government and developers in estimating all of the decision points taken by an instructional designer and later the software developer when designing and developing SCORM-conformant courseware content. Quantifying this in a comparative numerical measure makes development and test cost estimates more meaningful and accurate; thereby, reducing risk to SCORM-conformant courseware projects.