2026

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Software development cost prediction method
(КПІ ім. Ігоря Сікорського, 2026) Stelmashenko, M.; Deveciogullari, A.
The task of accurate software development cost estimation is especially relevant in the context of a dynamic IT market and growing demand for effective project management. Traditional methods often lack flexibility and are labor-intensive, especially at early stages marked by high uncertainty. This article presents a software cost prediction method based on fuzzy logic, which accounts for uncertainty in input parameters, expert judgments, and domain-specific features without requiring strict mathematical formalization. The proposed model performs a full cycle of fuzzy inference, resulting in an interpretable interval forecast. Experimental evaluation shows that the method produces realistic estimates with error-aware intervals, supporting budget planning, risk assessment, and informed decision-making in IT project management