Performance evaluation of convolutional neural network for multi-class in cross project defect prediction
Sundas Noreen (13582)
Performance evaluation of convolutional neural network for multi-class in cross project defect prediction - Islamabad (unpublished) 2021 - xiii, 52 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing. Includes bibliographical references Thesis supervisor: Dr. Rizwan Bin Faiz
Thesis (MS)--Riphah International University, 2021
English
Computer Science
Software Engineering--Research methodology--CNN model structure--Neural network--Repository--Datasets--Optimizer--FC
006.32 / SUN
Performance evaluation of convolutional neural network for multi-class in cross project defect prediction - Islamabad (unpublished) 2021 - xiii, 52 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing. Includes bibliographical references Thesis supervisor: Dr. Rizwan Bin Faiz
Thesis (MS)--Riphah International University, 2021
English
Computer Science
Software Engineering--Research methodology--CNN model structure--Neural network--Repository--Datasets--Optimizer--FC
006.32 / SUN