Prioritization of User-Stories in Agile Environment

Abstract

Objectives: The objective of this paper is to prioritize user stories based on importance, and effort criteria. Methods/ Statistical Analysis: The proposed approach is considering importance, and effort criteria for the prioritization of user stories. Importance is decided by students, and effort is decided by complexity factor. The Voting Method is used for assignment of rank based on importance, Rank Ordered Centroid Multiple Criteria Decision Analysis Method is used for calculation of weight, and Program Evaluation Review Technique is used for estimation of effort. The priority of a user story is decided by weight by effort ratio. Findings: Usually the user story prioritization is done by some familiar methods such as Moscow method, Business Value method, Walking Skelton method, Kano Model, and Validate learning method. In this paper an approach is proposed that consider criteria from client’s side as well as developer’s side. In this approach; rank, weight, and effort are determined on the basis of which the prioritization of user stories is done. So this approach considers criteria from client side as well as developer side both, but familiar methods consider criteria either from client side or developer side. Applications/Improvements: The proposed approach will easy to use in various agile-development-oriented organizations. In future other important criteria for clients as well as developers can be considered for prioritization of user-stories. Keywords: Agile, Multiple Criteria Decision Analysis, Program Evaluation Review Techniques, Rank Order Centroid Method, Requirement Prioritization, User Stories