Distribution and estimation of effort remains a decisive parameter in the success of every system engineering project. In case, when the system being developed is a software, this parameter becomes more critical as the number of factors to be included becomes outsized. Due to this, the precision and scheduling of effort estimation, heavily determines the failure or success of the software development projects , . To tackle this challenge, various software development methodologies are adopted time to time, specific to the needs and priorities of software to be developed. Scrum is the most successfully practiced flavor of Agile
development methodology in commercial software development, academics and other industries of multiple spheres. In spite of all the flexibility and uniqueness available in scrum, effort distribution still remains a constant area of research. This paper proposes an empirical approach of effort distribution in scrum framework, based upon the number and expertise of team members involved in the project. Our effort distribution criterion distinctively prioritizes the number of tasks to be executed by every member of a scrum team .
Scrum, Agile, Framework, Methodology, Sprint, Backlog, Scrum-master