Applications of fuzzy logic to software metric models for development effort estimation
| aut.researcher | MacDonell, Stephen Gerard | |
| dc.contributor.author | Gray, A | |
| dc.contributor.author | MacDonell, S | |
| dc.contributor.editor | Isik, C | |
| dc.contributor.editor | Cross, V | |
| dc.date.accessioned | 2012-04-04T07:44:26Z | |
| dc.date.available | 2012-04-04T07:44:26Z | |
| dc.date.copyright | 1997 | |
| dc.date.issued | 1997 | |
| dc.description.abstract | Software metrics are measurements of the software development process and product that can be used as variables (both dependent and independent) in models for project management. The most common types of these models are those used for predicting the development effort for a software system based on size, complexity, developer characteristics, and other metrics. Despite the financial benefits from developing accurate and usable models, there are a number of problems that have not been overcome using the traditional techniques of formal and linear regression models. These include the nonlinearities and interactions inherent in complex realworld development processes, the lack of stationarity in such processes, over-commitment to precisely specified values, the small quantities of data often available, and the inability to use whatever knowledge is available where exact numerical values are unknown. The use of alternative techniques, especially fuzzy logic, is investigated and some usage recommendations are made. | |
| dc.identifier.citation | Annual Meeting of the North American Fuzzy Information Processing Society, (pp 394 - 399) | |
| dc.identifier.doi | 10.1109/NAFIPS.1997.624073 | |
| dc.identifier.uri | https://hdl.handle.net/10292/3593 | |
| dc.publisher | IEEE Computer Society Press | |
| 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. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version) | |
| dc.rights.accessrights | OpenAccess | |
| dc.title | Applications of fuzzy logic to software metric models for development effort estimation | |
| 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 |