A novel framework for an efficient software defect prediction to enhance the quality of software using soft computing techniques

dc.contributor.guide	R Pugazendi
dc.coverage.spatial
dc.creator.researcher	M Thangavel
dc.date.accessioned	2024-02-12T11:58:01Z
dc.date.available	2024-02-12T11:58:01Z
dc.date.awarded	2024
dc.date.completed	2023
dc.date.registered	2011
dc.description.abstract	newline
dc.description.note	4960
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	92mm
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/544960
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Salem
dc.publisher.university	Periyar University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	A novel framework for an efficient
dc.subject.keyword	software defect prediction to enhance the quality
dc.subject.keyword	software using soft computing techniques
dc.title	A novel framework for an efficient software defect prediction to enhance the quality of software using soft computing techniques
dc.title.alternative
dc.type.degree	Ph.D.