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Khalid Alkharabsheh is an assistant professor at the Department of Software Engineering of the Al-Balqa Applied University (BAU). He received his Master's degree (MS) in computer science from Al-Balqa Applied University, Jordan, in 2005, and his Ph.D. from Santiago de Compostela University (USC), Spain, in 2019. His research interests focused on empirical software engineering, software quality, machine learning, design smell detection, and object-oriented languages.
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 Research Intersets:
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Software Quality
Empirical Software Engineering
Machine Learning
Validation and Verification
Design Smell Detection
Object Oriented Languages
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 Qualifications
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Degree
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University
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Specialization
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Graduation year
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| 1 | PHD | University of Santiago de Compostela | Computer Science/ Software Engineering | 2019 | | 2 | MASTER DEGREE | Al-Balqa Applied University | Computer Science | 2005 | | 3 | BACHELOR'S DEGREE | Yarmouk University | Computer Science | 2002 |
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 Experiences
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Academic Experience:
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 2019 -Current :Academic Staff,Al-Balqa Applied University,Jordan.
2006 -2013 :Academic Staff,Al-Balqa Applied University,Jordan.
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Administrative Experience:
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 2003 -2006 :Lab. Supervisor,Irbid National University,Jordan.
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 Publications
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1- A concrete product derivation in software product line engineering: a practical approach ,nternational Journal of Computer Applications in Technology, 2023,Vol. 70,no. 3/4.
2- A hybrid convolutional neural network model for detection of diabetic retinopathy ,International Journal of Computer Applications in Technology, 2023,Vol. 70,no. 3/4.
3- Approach to Attributed Feature Modeling for Requirement Elicitation in Scrum Development ,Journal of Theoretical and Applied Information Technology, 2023,Vol. 101,no. 9.
4- Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study ,Information and Software Technology, 2022,Vol. 155,no. .
5- Prioritization of god class design smell: A multi-criteria based approach ,Journal of King Saud University - Computer and Information Sciences, 2022,Vol. 34,no. 10.
6- A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class ,Information and Software Technology, 2021,Vol. 143,no. .
7- Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection ,IEEE Access, 2021,Vol. 9,no. .
8- Exploratory study of the impact of project domain and size category on the detection of the God class design smell ,Software Quality Journal, 2021,Vol. 29,no. 2.
9- Optimizing MapReduce Model for Big Data Analytics Using
Subtractive Clustering Algorithm ,International Journal of Advanced Science and Technology, 2020,Vol. 29,no. 4.
10- Software Design Smell Detection: a systematic mapping study ,Software Quality Journal, 2018,Vol. 27,no. .
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 University Courses Taught
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1- Formal Method in Software Engineering.
2- Object-Oriented Software Engineering.
3- Special Topics in Software Engineering.
4- Requirements Engineering and Formal Specifications.
5- Computer and Network Security.
6- Operating Systems Theory.
7- Information Retrieval Systems and search Engines.
8- Software project planning and management.
9- Computer Skills2 for scientific faculties.
10- Computer Skills2 for humanities faculties.
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 Conferences and Workshops
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Conference/Workshop Name
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Conference/Workshop Place
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Conference/Workshop Date
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| 1 | IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology | Jordan | 2021/11 | | 2 | 22nd International Middleware Conference | Canada | 2021/10 |
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 Books
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Book Name
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Publisher Name
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Year
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| 1 | Basics of Programming in C++ | Altatbeekeya for publishing and distribution | 2014 |
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 Journals Editor/ Reviewer
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Review:
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Applied Mathematics & Information Sciences.
Energy Systems.
Journal of software: Evolution and Process.
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 Refrences
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Prof. Dr. Yania Crespo-Universidad de Valladolid ,yania@infor.uva.es.
Prof. Dr. Jos? A. Taboada-Universidad de Santiago de Compostela ,joseangel.taboada@usc.es.
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