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Enas Mohamed Fathy
Enas Mohamed Fathy
Teaching Assistant, Faculty of Computers and Information, Helwan University
Dirección de correo verificada de fci.helwan.edu.eg
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Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
AB Farid, EM Fathy, AS Eldin, LA Abd-Elmegid
PeerJ Computer Science 7, e739, 2021
232021
Towards agile implementation of test maturity model integration (tmmi) level 2 using scrum practices
AB Farid, EM Fathy, MA Ellatif
International Journal of Advanced Computer Science and Applications (IJACSA …, 2015
112015
A systematic literature review of software defect prediction using deep learning
A Bahaa, EM Fathy, AS Eldin, LA Abd-Elmegid, A Bahaa, AS Eldin
Journal of Computer Science 17 (5), 490-510, 2021
72021
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