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.

Publications

• 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

• CSE 212