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Enas Mohamed Fathy
Enas Mohamed Fathy
Teaching Assistant, Faculty of Computers and Information, Helwan University
Verified email at fci.helwan.edu.eg
Title
Cited by
Cited by
Year
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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