Prof. Ajay Jaiswal,

Prestige Institute of Engineering Management and Research, Indore, Madhya Pradesh 452010, India

Abstract

Accurate software project cost estimation is essential for efficient resource allocation, risk management, and scheduling. Accuracy and generality are frequently lacking in traditional estimate models. To improve prediction accuracy, this study suggests a hybrid framework (Fuzzy + GA) that combines fuzzy logic and genetic algorithms. Evaluations were performed using reference datasets from Desharnais, Kitchenham, and Maxwell with RMSE values of 0.4531, 0.0312, and 0.0416 and R squared scores of 0.7513, 0.9512, and 0.9142, respectively. The model outperformed current techniques and demonstrated notable gains.

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