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Effort estimation consist the prediction of how many hours of work and how many workers are needed to develop a project. Predicting software development effort with high precision is still a great challenge for project managers. The majority of software cost estimation techniques falling into three general categories includes Algorithmic Models (AM) and Expert Judgment (EJ), and Machine Learning(ML) techniques. Among estimation techniques, COCOMO (COnstructive COst MOdel) is the most commonly used algorithmic cost modeling technique because of its simplicity for estimating the effort in person-month for a project at different stages. COCOMO uses the mathematical formulae to predict project cost estimation.
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