Fuzzy logic for software metric models throughout the development life-cycle

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorGray, AR
dc.contributor.authorMacDonell, SG
dc.contributor.editorDave, RN
dc.contributor.editorSudkamp, T
dc.date.accessioned2011-09-02T18:58:54Z
dc.date.available2011-09-02T18:58:54Z
dc.date.copyright1999-07-01
dc.date.issued1999-07-01
dc.description.abstractOne problem faced by managers who are using project management models is the elicitation of numerical inputs. Obtaining these with any degree of confidence early in a project is not always feasible. Related to this difficulty is the risk of precisely specified outputs from models leading to overcommitment. These problems can be seen as the collective failure of software measurements to represent the inherent uncertainties in managers' knowledge of the development products, resources, and processes. It is proposed that fuzzy logic techniques can help to overcome some of these difficulties by representing the imprecision in inputs and outputs, as well as providing a more expert-knowledge based approach to model building. The use of fuzzy logic for project management however should not be the same throughout the development life cycle. Different levels of available information and desired precision suggest that it can be used differently depending on the current phase, although a single model can be used for consistency
dc.identifier.citationProceedings of the 18th international conference annual meeting of the North American Fuzzy Information Processing Society (NAFIPS'99), pp.258-262
dc.identifier.doi10.1109/NAFIPS.1999.781694
dc.identifier.isbn0-7803-5211-4
dc.identifier.urihttps://hdl.handle.net/10292/1978
dc.publisherIEEE Computer Society Press
dc.relation.urihttp://dx.doi.org/10.1109/NAFIPS.1999.781694
dc.rights© 1999 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccess
dc.subjectAccuracy
dc.subjectFuzzy logic
dc.subjectInformation management
dc.subjectInformation science
dc.subjectKnowledge management
dc.subjectMachine learning
dc.subjectManagement information systems
dc.subjectProject management
dc.subjectResource management
dc.subjectSoftware metrics
dc.titleFuzzy logic for software metric models throughout the development life-cycle
dc.typeConference Contribution
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pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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