Alternatives to regression models for estimating software projects
| aut.researcher | MacDonell, Stephen Gerard | |
| dc.contributor.author | MacDonell, SG | |
| dc.contributor.author | Gray, AR | |
| dc.date.accessioned | 2012-04-18T20:03:39Z | |
| dc.date.available | 2012-04-18T20:03:39Z | |
| dc.date.copyright | 1996 | |
| dc.date.issued | 1996 | |
| dc.description.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. | |
| dc.identifier.citation | International Function Point User Group Fall Conference, Dallas TX, USA. 1996. | |
| dc.identifier.uri | https://hdl.handle.net/10292/3869 | |
| dc.publisher | AUT University | |
| dc.rights | 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. | |
| dc.rights.accessrights | OpenAccess | |
| dc.title | Alternatives to regression models for estimating software projects | |
| dc.type | Conference Contribution | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies | |
| pubs.organisational-data | /AUT/Design & Creative Technologies/School of Computing & Mathematical Science | |
| pubs.organisational-data | /AUT/PBRF Researchers | |
| pubs.organisational-data | /AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers | |
| pubs.organisational-data | /AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing |