Alternatives to regression models for estimating software projects

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 implicat...

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Bibliographic Details
Main Authors: MacDonell, SG (Author), Gray, AR (Author)
Format: Others
Published: AUT University, 2012-04-18T20:03:39Z.
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100 1 0 |a MacDonell, SG  |e author 
700 1 0 |a Gray, AR  |e author 
245 0 0 |a Alternatives to regression models for estimating software projects 
260 |b AUT University,   |c 2012-04-18T20:03:39Z. 
500 |a International Function Point User Group Fall Conference, Dallas TX, USA. 1996. 
520 |a 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. 
540 |a OpenAccess 
655 7 |a Conference Contribution 
856 |z Get fulltext  |u http://hdl.handle.net/10292/3869