Abstract:

Effort estimation in software development projects remains a critical challenge due to its inherent complexity and uncertainty. Traditional estimation methods often suffer from inaccuracies, leading to project delays, budget overruns, and suboptimal resource allocation. To address these issues, this research proposes the application of Extreme Learning Machine (ELM), a machine learning algorithm known for its simplicity, efficiency, and effectiveness in handling nonlinear regression tasks.

Description:

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