Agile

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 effici

Process Management in Distributed Project Teams

The paper examines approaches to managing the processes of coordination and distribution of tasks in distributed project teams in the IT industry, which work in geographically dispersed Agile environments. The focus is on developing a team member selection model that considers the experience, performance, and geographic location of members of distributed teams for effective task performance.