International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 174 - Number 13 |
Year of Publication: 2021 |
Authors: Ravi Kiran Mallidi, Manmohan Sharma |
10.5120/ijca2021921014 |
Ravi Kiran Mallidi, Manmohan Sharma . Study on Agile Story Point Estimation Techniques and Challenges. International Journal of Computer Applications. 174, 13 ( Jan 2021), 9-14. DOI=10.5120/ijca2021921014
Agile Scrum Estimations are incredibly crucial for planning and managing Agile Scrum teams. Most of the Agile projects overrun and budgets due to a lack of proper estimates. Lack of proper estimates leads to imprecise planning, design, development, and management of the project, which may deliver the unsatisfied product/project to the customer and thereby unsatisfied customer/end-user. The project risks were not identified when the initial phase of the project leads to indecorous estimates. The primary objective is to present various Agile Story Point estimation techniques used in development environments and their challenges. Helps the development teams to adopt proper estimation methodology in their projects. Various estimation techniques are available to estimate the Agile projects. Various Agile estimation models are Planning Poker, T-Shirt Size, Dot Voting, Bucket System, Large / Uncertain / Small, Ordering Method, Divide Until Maximum Size, or Less. The paper elaborates on each of the Scrum estimation models and includes challenges for each Agile estimation technique.