An Intelligent Framework for Estimating Software Development Projects using Machine Learning

The IT industry has faced many challenges related to software effort and cost estimation. A assessment is conducted after estimation, which benefits customers as well developers. purpose of this paper discuss various methods for the estimation in context engineering, such algorithmic methods, expert judgment analogy-based machine learning their different aspects. In spite this, involved development are subject uncertainty. Several have been developed literature improving accuracy, involve use techniques. framework proposed address challenging problem. addition being completely independent models problems, also features a modular architecture. It high interpretability, capability, robustness imprecise uncertain inputs.