An empirical study of effort estimation during project execution

摘要

This paper presents an empirical study of effort estimation. hi particular the study is focused on improvements in effort estimations, as more information becomes available. For example, after the requirements phase, the requirements specification is available and the question is whether the knowledge regarding the number of requirements helps in improving the effort estimation of the project. The objective is twofold. First, it is important to find suitable measures that can be used in there-planning of the projects. Second, the objective is to stud)' how the effort estimations evolve as a software project is performed.The analysis is based on data from 26 projects. The analysis consists of two main steps: model building based on data from part of the projects, and evaluation of the models for the other projects. No single measure was found to be a particular goodmeasure for an effort prediction models instead several measures from different phases are used. The prediction models were then evaluated, and it is concluded that it is difficult to improve effort estimations during project execution, at least if theinitial estimate is fairly good. It is, however believed that the prediction models are important to know that the initial estimate is of the right order i.e. the estimates are needed to ensure that the initial estimate was fairly good. It is concludedthat the re-estimation approach will help project managers to stay in control of their projects.