Software source code sizing using fuzzy logic modeling

MacDonell, SG
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
AUT University

Knowing the likely size of a software product before it has been constructed is potentially beneficial in project management: for instance, size can be an important factor in determining an appropriate development/integration schedule, and it can be a significant input in terms of the allocation of personnel and other resources. In this study we consider the applicability of fuzzy logic modeling methods to the task of software source code sizing, using a previously published data set. Our results suggest that, particularly with refinement using data and knowledge, fuzzy predictive models can outperform their traditional regression-based counterparts.

Software size , SLOC , Prediction , Fuzzy logic
Information and Software Technology, vol.45(7), pp.389 - 404
Rights statement
Copyright © 2003 Elsevier B.V. All rights reserved. This is the author’s version of a work that was accepted for publication in (see Citation). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version)