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Dr Mounifah Alenazi (University of Hafr Al Batin) KSA

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Biography

Mounifah Alenazi is an assistant professor in the Department of Science and Technology at the University of Hafr Al Batin and serves as a committee member overseeing the implementation of the university’s strategic plan. She received her bachelor's degree in computer science and education from Imam Abdulrahman bin Faisal University in 2009, her master's degree in computer science from Kennesaw State University in 2016, and her Ph.D. in computer science and engineering from the University of Cincinnati in 2021.

Her research interests include requirements engineering, information seeking using artificial intelligence, machine learning, and human-centric approaches. Mounifah received the Best Reviewer Award at the IEEE 21st International Conference on Information Reuse and Integration for Data Science and was honored with the Outstanding Graduate Student Award during her master's studies. She has published several papers in high-ranking journals and conferences.

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University of Hafar Al-Batin, Saudi Arabia

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  • KSA
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Languges
  • Arabic
  • English
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  • Computer Sciences
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  • Artificial Intelligence
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Subjects
  • Computer Sciences
  • Machine Learning
  • Artificial Intelligence
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  • PhD
Research Interest/Publications
  1. Mounifah Alenazi, “Requirements Technical Debt Through the Lens of Environment Assumptions,” The 8th International Conference on Technical Debt, co-located with the 47th International Conference on Software Engineering (ICSE 2025), Ottawa, Canada (accepted).
  2. Mounifah Alenazi, Nan Niu, and Juha Savolainen, “A Novel Approach to Tracing Safety Requirements and State-Based Design Models“, 42nd International Conference on Software Engineering (ICSE 2020), Seoul, South Korea, July 6-11, 2020, pp. 848-860.
    1. CORE rank: A*
  3. Mounifah Alenazi, Nan Niu, and Juha Savolainen, “A Process Mining based Approach to Improving Defect Detection of SysML Models“, Late Breaking Results Track at The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego, California, United States, November 13, 2019.
    1. CORE rank: A*
  4. Mounifah Alenazi, Nan Niu, and Juha Savolainen,“SysML Modeling Mistakes and Their Impacts on Requirements”, 9th International Model-Driven Requirements Engineering Workshop (MoDRE), Jeju Island, South Korea, September 24, 2019, pp. 14-23.
  5. Wentao Wang, Nan Niu, Mounifah Alenazi, and Li Da Xu, “In-Place Traceability for Automated Production Systems: A Survey of PLC and SysML Tools” , IEEE Transactions on Industrial Informatics, Volume: 15, Issue: 6, June 2019, pp. 3155-3162, IEEE (Xplore).
    1. SJR rank: Q1.
  6. Wentao Wang, Nan Niu, Mounifah Alenazi, Juha Savolainen, Zhendong Niu, Jing-Ru C. Cheng, and Li Da Xu, “Complementarity in Requirements Tracing“,IEEE Transactions on Cybernetics, Volume: 50, Issue: 4, April 2020, pp. 1395-1404, IEEE (Xplore).
    1. SJR rank: Q1.
  7. Mounifah Alenazi, “Leveraging Traceability and Obstacle Analysis to Ensure Requirements Fulfillment in Systems Engineering”, 12th Joint Meeting of the European Software Engineering Conference and the Symposium on the Foundations of Software Engineering (ESEC/FSE), Doctoral Symposium (Poster), 2018.
  8. Mounifah Alenazi, Nan Niu, Wentao Wang, and Juha Savolaineny, “Using Obstacle Analysis to Support SysML-Based Model Testing for Cyber Physical Systems”, 8th International Model-Driven Requirements Engineering Workshop (MoDRE), Banff, Canada, August 20, 2018, pp. 46-55.
  9. Mounifah Alenazi, Deepak Reddy, and Nan Niu, “Assuring Virtual PLC in the Context of SysML Models”, 17th International Conference on Software Reuse (ICSR), Madrid, Spain, May 23, 2018, pp. 121–136.
    1. CORE rank: B
  10. Mounifah Alenazi, Nan Niu, Wentao Wang, and Arushi Gupta, “Traceability for Automated Production Systems: A Position Paper”, 7th International Model-Driven Requirements Engineering Workshop (MoDRE), Lisbon, Portugal, September 4, 2017, pp. 51–55.
  11. Mounifah Alenazi, Nan Niu, Wentao Wang, and Birgit Vogel-Heuser, “Traceability for Evolving Automated Production Systems”, Grand Challenges of Traceability: The Next Ten Years, Kentucky, USA, April 1, 2017, pp. 28–30.
  12. Nan Niu, Juha Savolainen, Wentao Wang, and Mounifah Alenazi, “Best of Both Worlds: Synthesizing the Human and Method Sides of Requirements Tracing”, Grand Challenges of Traceability: The Next Ten Years, Kentucky, USA, April 1, 2017, pp. 13–15.
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