Hakam Alomari, Ph.D.
Research Interests & Miami University Software Technology and Analysis Group < MUSTANG>
Topics of Interest: Software engineering, software evolution and maintenance Program understanding/comprehension, program analysis Cognitive models of the software development process Reverse engineering Software visualization to support maintenance and evolution Program Slicing Research Statement: The research program focuses on the construction of methods and tools for lightweight software analysis to assist in the process of software evolution and maintenance of large-scale software systems.
Alomari, Hakam W., Michael L. Collard, Jonathan I. Maletic, Nouh Alhindawi, and Omar Meqdadi. “ srcSlice: very efficient and scalable forward static slicing.” Journal of Software: Evolution and Process 26, no. 11 (2014): 931-961. Newman, Christian D., Tessandra Sage, Michael L. Collard, Hakam W. Alomari, and Jonathan I. Maletic. “ srcslice: A tool for efficient static forward slicing.” In 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C), pp. 621-624. IEEE, 2016. Alomari, Hakam W., Michael L. Collard, and Jonathan I. Maletic. “ A very efficient and scalable forward static slicing approach.” In 2012 19th Working Conference on Reverse Engineering, pp. 425-434. IEEE, 2012. Alomari, Hakam W., Vijayalakshmi Ramasamy, James D. Kiper, and Geoff Potvin. “ A User Interface (UI) and User eXperience (UX) evaluation framework for cyberlearning environments in computer science and software engineering education.” Heliyon 6, no. 5 (2020): e03917. Alomari, Hakam W., Michael L. Collard, and Jonathan I. Maletic. “ A slice-based estimation approach for maintenance effort.” In 2014 IEEE International Conference on Software Maintenance and Evolution, pp. 81-90. IEEE, 2014. Ramasamy, Vijayalakshmi, Hakam Alomari, James Kiper, and Geoffrey Potvin. “ A minimally disruptive approach of integrating testing into computer programming courses.” In 2018 IEEE/ACM International Workshop on Software Engineering Education for Millennials (SEEM), pp. 1-7. IEEE, 2018. Ramasamy, Vijayalakshmi, Urvashi Desai, Hakam W. Alomari, and James D. Kiper. “ Tp-graphminer: a clustering framework for task-based information networks.” In 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), pp. 1-7. IEEE, 2018. Narasareddygari, Mourya Reddy, Gursimran S. Walia, Debra M. Duke, Vijayalakshmi Ramasamy, James Kiper, Debra Lee Davis, Andrew A. Allen, and Hakam W. Alomari. “ Evaluating the Impact of Combination of Engagement Strategies in SEP-CyLE on Improve Student Learning of Programming Concepts.” In Proceedings of the 50th ACM Technical Symposium on Computer Science Education, pp. 1130-1135. 2019. Alomari, Hakam W., and Matthew Stephan. “ Towards slice-based semantic clone detection.” In 2018 IEEE 12th International Workshop on Software Clones (IWSC), pp. 58-59. IEEE, 2018. Alomari, Hakam W., Rachel A. Jennings, Paulo Virote De Souza, Matthew Stephan, and Gerald C. Gannod. “ vizSlice: Visualizing large scale software slices.” In 2016 IEEE Working Conference on Software Visualization (VISSOFT), pp. 101-105. IEEE, 2016. Alomari, Hakam, James D. Kiper, Gursimran Singh Walia, and Katharine Zaback. “ Using web-based repository of testing tutorials (wrestt) with a cyber learning environment to improve testing knowledge of computer science students.” In 2017 ASEE Annual Conference & Exposition. 2017. Alomari, Hakam W., and Matthew Stephan. “ srcClone: Detecting code clones via decompositional slicing.” In Proceedings of the 28th International Conference on Program Comprehension, pp. 274-284. 2020. Alomari, Hakam W., and Matthew Stephan. “ Clone detection through srcClone: A program slicing based approach.” Journal of Systems and Software 184 (2022): 111115. Alomari, H. “ A slicing-based effort estimation approach for open-source software projects.” International Journal of Advance Computational Engineering and Networking (IJACEN) 3, no. 8 (2015): 1-7. Alomari, Hakam W., and Amer F. Al-Badarneh. “ A topological-based spatial data clustering.” In Optical Pattern Recognition XXVII, vol. 9845, p. 98450S. International Society for Optics and Photonics, 2016. Khamaiseh, Samer and Al-Alaj, Abdullah and Adnan, Mohammad and Alomari, Hakam W. “ The Robustness of Detecting Known and Unknown DDoS Saturation Attacks in SDN via the Integration of Supervised and Semi-Supervised Classifiers.” Future Internet 14, no. 6 (2022). Mohammad Kharabsheh, Shadi Banitaan, Hakam W. Alomari, Mohammad Alshirah, Sukaina Alzyoud. “ Respiratory failure in COVID-19 patients a comparative study of smokers to nonsmokers.” Indonesian Journal of Electrical Engineering and Computer Science 14, no. 2 (2022).
Teaching and course related materials