SEER-SEM (Software Engineering Institute Estimating and Sizing Method) is a software cost estimation model developed by the Software Engineering Institute (SEI) at Carnegie Mellon University. SEER-SEM is designed to provide accurate estimates for software development projects, including time and cost estimates, based on a set of input parameters.

SEER-SEM uses a parametric modeling approach, which means that it estimates software development effort based on historical data, project characteristics, and other factors. The model uses a set of equations to estimate software size, effort, duration, and cost, based on input parameters such as project size, complexity, and development team size.

SEER-SEM includes several modules, each designed to estimate a different aspect of software development. These modules include:

  • The Application Composition module, which estimates the size and complexity of the software being developed.
  • The Development Environment module, which estimates the tools and resources required for software development.
  • The Effort module, which estimates the amount of effort required for software development based on input parameters such as project size, team size, and development methodology.
  • The Schedule module, which estimates the duration of the project based on the amount of effort required and other input parameters.
  • The Cost module, which estimates the total cost of the project based on the amount of effort and duration estimated by the other modules.

SEER-SEM is designed to be highly customizable, allowing users to adjust the input parameters to fit the specific needs of their project. The model also includes a built-in risk analysis feature, which allows users to identify and evaluate potential risks that could impact project costs and schedules.

SEER-SEM is widely used in the software development industry, particularly in government and defense contracting, where accurate cost estimates are critical for project planning and budgeting. The model has been validated through numerous case studies and has been found to provide accurate and reliable estimates in a variety of software development contexts.

SEER-SEM is designed to be user-friendly and accessible, with a user interface that allows developers to input their project parameters and receive accurate cost and time estimates. The model also includes a wide range of built-in features and tools to help developers analyze and evaluate their estimates, including risk analysis, sensitivity analysis, and "what-if" scenario planning.

SEER-SEM is widely used by software development teams in various industries, including government, defense contracting, and commercial software development. The model has been used to estimate the cost and time required for a wide range of software projects, including complex systems engineering projects, web and mobile application development, and enterprise software development.

SEER-SEM is continually updated and improved by the SEI, with new features and enhancements being added regularly. The model is also supported by a range of training and consulting services, which can help development teams to get the most out of the model and improve their software cost estimation practices.

In summary, SEER-SEM is a widely recognized and trusted software cost estimation model developed and refined by the Software Engineering Institute over many years. This powerful model has been successfully applied to various software development projects across a range of industries, helping teams to accurately estimate the cost, time, and effort required to complete their projects. With its user-friendly interface and customizable input parameters, SEER-SEM provides developers a flexible and adaptable tool for achieving accurate cost estimations and improved project outcomes. As a continually evolving model supported by training and consulting services, SEER-SEM is an essential resource for software development teams seeking to optimize their cost estimation practices and achieve successful project delivery.

See Also

Total Cost of Ownership (TCO)