Архітектура інтелектуальної системи оцінювання складності програмних проєктів у середовищах SaaS/PaaS

Abstract

The paper proposes a software architecture for an intelligent information technology designed for automated software project complexity estimation in SaaS/PaaS environments. Unlike traditional approaches, the architecture is based on service-oriented principles and integrates a hybrid intelligent core that combines a frame-based requirements representation model with a fuzzy inference component. The structure of data acquisition modules via project management system APIs is described, allowing for dynamic accounting of cloud service integration complexity. The application of the proposed architecture enables the creation of adaptive decision support systems that increase the accuracy of software functional size estimation at early development stages and reduce the workload on human experts.