A sprint-point based estimation technique in Scrum

Abstract

In the last few years Agile methodologies appeared as a reaction to traditional software development methodologies. The Scrum is the widely used method of Agile. Most of the software development organizations are using Scrum these days but these are facing problems related to estimation of cost and effort. It has been observed that the current estimation method in Scrum mostly rely on historical data from past projects and expert opinion but in absence of historical data and experts these methods are not efficient. So there is need of an algorithmic method, which can calculate cost and effort of the software project. In this direction S. Bhalero, Maya Ingel [2] has considered some project-related factors that calculate the cost as well as effort of the project for a general Agile environment. However, several other project as well as people related factors may affect the Scrum environment. In this work an Algorithmic estimation method is being proposed considering various factors thereby estimating the more accurate release date, cost, effort and duration for the project specifically for Scrum. The effectiveness and feasibility of the proposed algorithm has been shown by considering three cases in which different levels of factors are taken and compared.