Framework for Mitigating Uncertainty for Story Points Estimation in Agile based Projects

Abstract

In Agile techniques, the inherent uncertainty in estimating story points presents a challenge due to the dynamic nature of the project aspects, such as the ever-changing needs and the ever-evolving dynamics of the team. Because of this uncertainty, the planning and execution of the project are less accurate. This research endeavors to develop a comprehensive "Framework for Mitigating Uncertainty in Story Points Estimation in Agile-based Projects." Agile methodologies, characterized by their adaptability to changing project requirements and dynamic team structures, face a significant challenge in accurately estimating story points due to inherent uncertainty. The dynamic nature of Agile projects introduces complexities that can impact project planning and execution accuracy. This study contributes towards a robust framework specifically designed to address the complexities of uncertainty in story point’s estimation. By providing practical solutions, the framework aims to elevate the accuracy of story point’s estimation in Agile projects. This research has significant potential to enhance the success rate of Agile projects by improving critical aspects such as project planning, resource allocation, and timely project delivery. The central challenge addressed in this research is the uncertainty associated with estimating story points in Agile projects. Agile methodologies thrive on adaptability, but this very dynamism introduces uncertainty in story point’s estimation. Factors such as evolving project requirements and dynamic team dynamics contribute tothis uncertainty, impacting the reliability of story point’s estimation. The repercussions of inaccurate story point’s estimation are substantial, leading to challenges in project planning and execution. Potential consequences include project delays, misallocation of resources, and compromised project success. Recognizing the critical need for a dedicated framework, the study asserts that existing methodologies fall short in addressing the specific challenges posed by uncertainty in story point’s estimation. Hence, there is acompelling need for a comprehensive framework that proactively tackles uncertainty, ultimately enhancing the precision and reliability of story point’s estimation in Agile-basedprojects.