000 00982nam a22001937a 4500
999 _c40797
_d40797
040 _cRiphah International University
082 _a006.3
_bABE
100 _aAbeer Jalil (11111)
245 _aImpact of optimal feature selection through hybrid method in multi-class for cross project defect prediction
260 _aIslamabad
_b(unpublished)
_c2021
300 _axi, 45 p.
_b: ill.
_c; 30 cm.
_e+CD
500 _aSubmitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing.
500 _aIncludes bibliographical references
500 _aThesis supervisor: Dr. Rizwan Bin Faiz
502 _aThesis (MS)--Riphah International University, 2021
546 _aEnglish
650 _aOptimal Features
_aComputer Science
_aSoftware Engineering
_vCross project defect prediction
_vGenerative adversarial networks
_vHybrid feature selection
_vMin-max normalization
_vClass imbalance
_vDistribution gap
_vFC
942 _cTH