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Software defect prediction using data categorization and machine learning techniques / (Record no. 79849)

MARC details
000 -LEADER
fixed length control field 02336cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032703.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210208s2020 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.10.M.Sc.2020.Mo.S
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Moheb Mofied Ragheb Henein
245 10 - TITLE STATEMENT
Title Software defect prediction using data categorization and machine learning techniques /
Statement of responsibility, etc. Moheb Mofied Ragheb Henein ; Supervised Salwa K. Abdelhafiz , Doaa M. Shawky
246 15 - VARYING FORM OF TITLE
Title proper/short title التنبؤ بعيوب البرامج عن طريق استخدام طرق تصنيف البيانات وتقنيات التعلم الآلى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Moheb Mofied Ragheb Henein ,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 81 P . :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics
520 ## - SUMMARY, ETC.
Summary, etc. In this thesis, two approaches are proposed to overcome two main challenges in SDP; namely the class imbalance and overlap. The first approach is Clustering-based Undersampling Artificial Neural Network (CU-ANN) that tackles the imbalance problem. The second approach is Hybrid sampling Cost- Sensitive Support Vector Machine (HCSVM), which balances the data set by undersampling the majority class instances and oversampling the minority class ones. Moreover, minority samples are categorized based on their severity, where the degree of severity is directly proportional to the number of neighbors belonging to the majority class. Taking into consideration the severity of minority samples in the learning phase alleviates the impact of class overlap. A cost-sensitive approach that assigns high misclassification costs to di cult minority samples considers these samples rather than treating them as outliers. Experiments are conducted on benchmark data sets, NASA MDP, which are the most used datasets in SDP performance evaluation
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial Neural Network
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Defect
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Software Defect Prediction
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Doaa M. Shawky ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Salwa K. Abdelhafiz ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Amira
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.10.M.Sc.2020.Mo.S 01010110082711000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.10.M.Sc.2020.Mo.S 01020110082711000 22.09.2023 CD - Rom 82711.CD