Abstract

 
 
 
 
 Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and availability data, thus requiring a systematic data treatment. In this paper, it is proposed a data pre-processing method for use in software effort estimate. The results of it on applying on applying Case Based Reasoning - CBR that enables us to enhance the
 
 
 
 
 
 
 precision of the estimates.
 
 
 
 
Highlights
Due to the great development of hardware and software and with the advent of globalization, it has increased the competition between software enterprises
An estimation of accuracy and concise effort are crucial for the effective management of the software project
In Brazil the cenary is a little different, according to the research made by the Science and Technology Cabinet – STC, only 45,7% perform estimates for software effort[12]
Summary
Due to the great development of hardware and software and with the advent of globalization, it has increased the competition between software enterprises. An effective management of projects are crucial for an enterprise to reach the goals and to maintain itself in this competitive market. It is necessary an implementation of a group of activities, among them there are the making of size estimation, effort, cost and time for development required to deliver a certain software. The goal of this study is to present a method data to support the data preprocessing for software effort estimation.
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