Analysis of bottleneck points based on the software requirements data-flow model in Agile projects

This paper examines challenges in software requirements management in Agile projects, focusing on critical workflow points affecting requirements quality. Key issues include incompleteness, inconsistency, lack of traceability, and poor structuring, exacerbated by Agile's iterative nature. A comparative analysis of tools like Jira and Confluence highlights their limitations in ensuring requirements quality. Using a stock-and-flow model, the study conceptualizes the requirements management system as an interconnected process, revealing feedback loops that reduce efficiency. Findings indicate that optimizing software specification processes with a complementary system can mitigate these challenges while minimizing human intervention. The research lays the foundation for developing a mathematical model to improve Agile requirements management efficiency.