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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.
Topics and methods related to the costs of conducting software engineering. These topics are more concerned, typically, with estimating the effort of software engineering, rather than the actual execution of it.
In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.
In software development and other information technology fields, technical debt (also known as design debt [1] or code debt) is the implied cost of future reworking because a solution prioritizes expedience over long-term design.
SEER for Software (SEER-SEM) is composed of a group of models working together to provide estimates of effort, duration, staffing, and defects. These models can be briefly described by the questions they answer: Sizing. How large is the software project being estimated (Lines of Code, Function Points, Use Cases, etc.) Technology.
It is one of the earliest of these types of models developed. 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 .
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