Applications of fuzzy logic to software metric models for development effort estimation

dc.contributor.author	Gray, Andrew	en_NZ
dc.contributor.author	MacDonell, Stephen	en_NZ
dc.date.copyright	1997-07	en_NZ
dc.identifier.citation	Gray, A., & MacDonell, S. (1997). Applications of fuzzy logic to software metric models for development effort estimation (Information Science Discussion Papers Series No. 97/10). University of Otago. Retrieved from http://hdl.handle.net/10523/1120	en
dc.identifier.uri	http://hdl.handle.net/10523/1120
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 non-linearities and interactions inherent in complex real-world 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.	en_NZ
dc.format.mimetype	application/pdf
dc.publisher	University of Otago	en_NZ
dc.relation.ispartofseries	Information Science Discussion Papers Series	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	Applications of fuzzy logic to software metric models for development effort estimation	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	8	en_NZ
otago.date.accession	2011-01-18 20:13:58	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	1041	en_NZ
otago.school.eprints	Software Metrics Research Laboratory	en_NZ
otago.school.eprints	Information Science	en_NZ
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otago.relation.number	97/10	en_NZ