An Approach for Improving the Efficiency of Software Team by Continuous Evaluation of Software Development

Abstract

Accurate software cost and schedule estimations are essential specially for large software
projects. However, once the required efforts have been estimated, little is done to recalibrate and
reducethe uncertainty of the initial estimates. To address this problem,we have developed and
used a framework to continuously monitor the software project progress and readjust the
estimated effort utilizing the Constructive Cost Model II (COCOMO II) and the Unified Code
Count Tool. As a software project progresses, we gain more information about the project itself,
which can then be used to assess and re estimate the effort required to complete the project. With
more accurate estimations and less uncertainties, the quality and goal of project outcome can be
assured within the available resources. The paper thus also provides and analyzes empirical data
on how projects evolve within the familiar software “cone of uncertainty.”