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Dr. Fehmi Jaafar
Dr. Fehmi Jaafar
Associate Professor, Quebec University
Verified email at uqac.ca - Homepage
Title
Cited by
Cited by
Year
Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults
F Jaafar, YG Guéhéneuc, S Hamel, F Khomh, M Zulkernine
Empirical Software Engineering 21 (3), 896-931, 2016
512016
Mining the relationship between anti-patterns dependencies and fault-proneness
F Jaafar, YG Guéhéneuc, S Hamel, F Khomh
2013 20th working conference on reverse engineering (WCRE), 351-360, 2013
402013
An exploratory study of macro co-changes
F Jaafar, YG Guéhéneuc, S Hamel, G Antoniol
2011 18th Working Conference on Reverse Engineering, 325-334, 2011
372011
Low-rate DoS attack detection using PSD based entropy and machine learning
N Zhang, F Jaafar, Y Malik
2019 6th IEEE International Conference on Cyber Security and Cloud Computing …, 2019
232019
Fcfraud: Fighting click-fraud from the user side
MS Iqbal, M Zulkernine, F Jaafar, Y Gu
2016 IEEE 17th International Symposium on High Assurance Systems Engineering …, 2016
232016
Analysing anti-patterns static relationships with design patterns
F Jaafar, YG Guéhéneuc, S Hamel
Electronic Communications of the EASST 59, 2014
232014
Detecting asynchrony and dephase change patterns by mining software repositories
F Jaafar, YG Guéhéneuc, S Hamel, G Antoniol
Journal of Software: Evolution and Process 26 (1), 77-106, 2014
212014
Protecting Internet users from becoming victimized attackers of click‐fraud
MS Iqbal, M Zulkernine, F Jaafar, Y Gu
Journal of Software: Evolution and Process 30 (3), e1871, 2018
182018
Lightweight authentication for MQTT to improve the security of IoT communication
RS Bali, F Jaafar, P Zavarasky
Proceedings of the 3rd International Conference on Cryptography, Security …, 2019
172019
Private blockchain network for IoT device firmware integrity verification and update
S Dhakal, F Jaafar, P Zavarsky
2019 IEEE 19th International Symposium on High Assurance Systems Engineering …, 2019
162019
Is predicting software security bugs using deep learning better than the traditional machine learning algorithms?
CJ Clemente, F Jaafar, Y Malik
2018 IEEE International Conference on Software Quality, Reliability and …, 2018
162018
Leveraging historical co-change information for requirements traceability
N Ali, F Jaafar, AE Hassan
2013 20th Working Conference on Reverse Engineering (WCRE), 361-370, 2013
152013
Android gaming malware detection using system call analysis
M Jaiswal, Y Malik, F Jaafar
2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-5, 2018
142018
Anti-pattern mutations and fault-proneness
F Jaafar, F Khomh, YG Guéhéneuc, M Zulkernine
2014 14th International Conference on Quality Software, 246-255, 2014
122014
An automatic software vulnerability classification framework
M Davari, M Zulkernine, F Jaafar
2017 International Conference on Software Security and Assurance (ICSSA), 44-49, 2017
112017
On the analysis of co-occurrence of anti-patterns and clones
F Jaafar, A Lozano, YG Guéhéneuc, K Mens
2017 IEEE International Conference on Software Quality, Reliability and …, 2017
102017
Analyzing software evolution and quality by extracting Asynchrony change patterns
F Jaafar, A Lozano, YG Guéhéneuc, K Mens
Journal of Systems and Software 131, 311-322, 2017
92017
A slow read attack using cloud
D Ameyed, F Jaafar, J Fattahi
2015 7th International Conference on Electronics, Computers and Artificial …, 2015
92015
Detecting android security vulnerabilities using machine learning and system calls analysis
Y Malik, CRS Campos, F Jaafar
2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019
82019
A pattern language for the evolution of component-based software architectures
A Ahmad, P Jamshidi, C Pahl, F Khaliq
Electronic Communications of the EASST 59, 2014
82014
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