An efficient ensemble learning approach for software defects prediction (Record no. 42160)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00844nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Author Mark | MAH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Mahnoor Habib (191405002) |
| 245 ## - TITLE STATEMENT | |
| Title | An efficient ensemble learning approach for software defects prediction |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Faisalabad |
| Name of publisher | (unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 70 p |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science to the Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor:Dr.Umer Iqbal |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University,2021 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Software defects |
| -- | Machine learning |
| Keywords | Black box |
| -- | National Aeronautics |
| -- | Common techniques |
| -- | Decision table |
| -- | Decision tree |
| -- | FC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| Faisalabad Campus | Faisalabad Campus | Riphah international university | 004 MAH | 82396 | 1 | Thesis |