A Data Pre-Processing Method for Software Effort Estimation Using  Case-Based Reaso

Katia Cristina A. Damaceno Borges; Iris Fabiana de Barcelos Tronto; Renato de Aquino Lopes; José Demisio Simões da Silva

doi:10.19153/cleiej.16.3.7

A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso

Authors

Katia Cristina A. Damaceno Borges
Iris Fabiana de Barcelos Tronto
Renato de Aquino Lopes
José Demisio Simões da Silva

DOI:

https://doi.org/10.19153/cleiej.16.3.7

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.

Downloads

Published

2013-12-01

Issue

Vol. 16 No. 3 (2013): Special issue of best papers presented at CLEI 2012, Medellín, Colombia

Section

Articles

License

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).