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Alternatives to regression models for estimating software projects
MacDonell, SG; Gray, AR
Abstract:
The use of ‘standard’ regression analysis to derive predictive equations for software development has recently been complemented by increasing numbers of analyses using less common methods, such as neural networks, fuzzy logic models, and regression trees. This paper considers the implications of using these methods and provides some recommendations as to when they may be appropriate. A comparison of techniques is also made in terms of their modelling capabilities with specific reference to function point analysis.
Item Type:Conference Contribution
Date:1996
Citation:International Function Point User Group Fall Conference, Dallas TX, USA. 1996.
Publisher:AUT University
Rights Statement:NOTICE: this is the author’s version of a work that was accepted for publication. 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.
