Hybrid UML-COSMIC Approach to Functional Sizing and Cost Estimation for a Marketing Goods Monitoring

Abstract

This study proposes a hybrid approach that integrates UML-based modeling and the COSMIC functional size measurement method to design and evaluate a web-based Marketing Goods Monitoring System (MGMS) tailored for small and medium-sized enterprises (SMEs). The system is designed using use case and sequence diagrams to model 24 functional requirements supporting CRUD operations across five distinct user roles: Admin, Warehouse Staff, Sales Staff, Marketing Manager, and Finance Admin. Additionally, five non-functional requirements—security, performance, accessibility, scalability, and usability—are incorporated to ensure deployment readiness. The system's complexity is assessed using the COSMIC method, resulting in a functional size of 82 COSMIC Function Points (CFP), including 14 Entry, 19 Write, 14 Read, 10 Exit operations, and 25 validation processes. This size places the MGMS in the high-complexity category, indicating a system with multiple interacting components and rich functionality. Furthermore, a cost estimation is conducted using a productivity rate of 7 CFP per day and a labor rate of IDR 135,800 per hour, yielding a projected development effort of 82 working hours and a total cost of IDR 11,135,600 (≈ USD 750). These results demonstrate the system’s technical feasibility, functional completeness, and economic viability, offering a scalable and affordable solution for SMEs transitioning from manual to automated operations.