Mohammed Akour, Prof. in Software Engineering
Mohammed Akour, Prof. in Software Engineering
Prince Sultan University, Yarmouk University;
Verified email at - Homepage
Cited by
Cited by
QArabPro: A rule based question answering system for reading comprehension tests in Arabic
M Akour, S Abufardeh, K Magel, Q Al-Radaideh
American Journal of Applied Sciences 8 (6), 652-661, 2011
The importance of big data analytics in business: a case study
H Alsghaier, M Akour, I Shehabat, S Aldiabat
American Journal of Software Engineering and Applications 6 (4), 111-115, 2017
Software fault proneness prediction: A comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam
International Journal of Data Analysis Techniques and Strategies 9 (1), 1-16, 2017
The influence of deep learning algorithms factors in software fault prediction
O Al Qasem, M Akour, M Alenezi
IEEE Access 8, 63945-63960, 2020
The effectiveness of using deep learning algorithms in predicting students achievements
M Akour, H Alsghaier, O Al Qasem
Indonesian Journal of Electrical Engineering and Computer Science 19 (1 …, 2020
Software fault prediction using particle swarm algorithm with genetic algorithm and support vector machine classifier
H Alsghaier, M Akour
Software: Practice and Experience 50 (4), 407-427, 2020
Mobile software testing: Thoughts, strategies, challenges, and experimental study
M Akour, B Falah, AA Al-Zyoud, S Bouriat, K Alemerien
International Journal of Advanced Computer Science and Applications 7 (6), 2016
Towards change propagating test models in autonomic and adaptive systems
M Akour, A Jaidev, TM King
2011 18th IEEE International Conference and Workshops on Engineering of …, 2011
A systematic literature review on software-defined networking
IM Alsmadi, I AlAzzam, M Akour
Information fusion for cyber-security analytics, 333-369, 2017
Game-based learning approach to improve self-learning motivated students
M Akour, H Alsghaier, S Aldiabat
International Journal of Technology Enhanced Learning 12 (2), 146-160, 2020
MQVC: Measuring quranic verses similarity and sura classification using N-gram
M Akour, IM Alsmadi, I Alazzam
The malware detection challenge of accuracy
M Akour, I Alsmadi, M Alazab
2016 2nd International Conference on Open Source Software Computing (OSSCOM …, 2016
Software fault prediction using deep learning algorithms
O Al Qasem, M Akour
International Journal of Open Source Software and Processes (IJOSSP) 10 (4 …, 2019
Information fusion for cyber-security analytics
IM Alsmadi, G Karabatis, A Aleroud
Springer International Publishing, 2017
Application domain and programming language readability yardsticks
M Akour, B Falah
2016 7th International Conference on Computer Science and Information …, 2016
The effectiveness of using deep learning algorithms in predicting daily activities
M Akour, O Al Qasem, H Alsghaier, K Al-Radaideh
International Journal 8 (5), 2019
Harnessing deep learning algorithms to predict software refactoring
M Alenezi, M Akour, O Al Qasem
TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (6 …, 2020
Test case Selection Based on Source Code Features Extraction
Iyad Alazzam, Izzat Alsmadi, Mohammed Akour
International Journal Of Software Engineering and Its Application (IJSEIA) 8 …, 2014
Test cases selection based on source code features extraction
I Alazzam, IM Alsmadi, M Akour
Effective pair programming practice: toward improving student learning in software engineering class
M Akour, K Al-Radaideh, I Alazzam, I Mahmoud Alsmadi
International Journal of Teaching and Case Studies 4 (4), 336-345, 2013
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