Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/544960
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-02-12T11:58:01Z | - |
dc.date.available | 2024-02-12T11:58:01Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/544960 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
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.creator.researcher | M Thangavel | |
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.description.note | 4960 | |
dc.contributor.guide | R Pugazendi | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2011 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 92mm | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10_annexure.pdf | Attached File | 3.16 MB | Adobe PDF | View/Open |
1_title.pdf | 68.49 kB | Adobe PDF | View/Open | |
2_preliminary pages.pdf | 1.57 MB | Adobe PDF | View/Open | |
3_content.pdf | 109.51 kB | Adobe PDF | View/Open | |
4_abstract.pdf | 74.92 kB | Adobe PDF | View/Open | |
5_chapter 1.pdf | 292.01 kB | Adobe PDF | View/Open | |
6_chapter 2.pdf | 135.91 kB | Adobe PDF | View/Open | |
7_chapter 3.pdf | 308.31 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 91.52 kB | Adobe PDF | View/Open | |
8_chapter 4.pdf | 201.03 kB | Adobe PDF | View/Open | |
9_chapter 5 to 7.pdf | 808.46 kB | Adobe PDF | View/Open |
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