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Prioritization of User-Stories in Agile Environment


  • School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Department of Information Technology, CT Institute of Engineering, Management and Technology, Jalandhar, Punjab, India


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.


Agile, Multiple Criteria Decision Analysis, Program Evaluation Review Techniques, Rank Order Centroid Method, Requirement Prioritization, User Stories.

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  • Popli R, Chauhan N, Sharma H. Prioritizing user story in agile environment. Proceedings of IEEE International.Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT); Gaziabad: India. 2014 February. p. 515-9.
  • Cao L, Ramesh B. Agile requirements engineering practices: An empirical study. Proceedings of IEEE Software. 2008 February. p. 60-7.
  • Racheva Z, Daneva M, Buglione L. Supporting the dynamic reprioritization of requirements in agile development of software products. Proceedings of 2nd IEEE International Workshop on Software Product Management (ISWPM08); Barcelona: Catalunya. 2008 September. p. 49-58.
  • Racheva Z, Daneva M, Herrmann A. A conceptual model and process for Client-driven agile requirements prioritization.Proceedings of 4th IEEE International Conference on Research Challenges in Information Science (RCIS): Nice; France. 2010 May. p. 287-98.
  • Racheva Z, Daneva M, Sikkel K, Wieringa R, Herrmann A. Do we know enough about requirements prioritization in agile projects: Insights from a case study? Proceedings of 18th IEEE International Conference on Requirements Engineering (RE); Sydney: NSW. 2010 September. p. 147156.
  • Roszkowska E. Rank ordering criteria weighting methods – A comparative overview. Optimum Studia Ekonomiczne Journal. 2013. p. 14-33.
  • Choo EU, Schoner B, Wedley WC. Interpretation of Criteria Weights in Multicriteria Decision Making. Science Direct Journal. 1999 November; 37:527-41.
  • Hwang CL, Yoon K. Multiple attribute decision making: Methods and application A state-of-the-Art Survey. 1st Edition, Springer-Verlag Berlin Heidelberg: Germany; 1981.


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