Fuzzy framework for assessment of software effort based on complexity and assumptions

dc.contributor.guide	Selvarani, A Grace
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	B, Arthi
dc.date.accessioned	2019-03-20T11:26:32Z
dc.date.available	2019-03-20T11:26:32Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xxi, 156p.
dc.identifier.uri	http://hdl.handle.net/10603/233302
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	147-155
dc.rights	university
dc.source.university	University
dc.subject.keyword	Artifacts
dc.subject.keyword	Biomedical
dc.subject.keyword	CostDrivers
dc.subject.keyword	Dataset
dc.subject.keyword	Framework
dc.title	Fuzzy framework for assessment of software effort based on complexity and assumptions
dc.title.alternative
dc.type.degree	Ph.D.