Dr. Mohamed Wiem Wiem Mkaouer

Assistant Professor
Department of Software Engineering, Golisano College of Computing and Information Sciences, USA


Highest Degree
Ph.D. in Software Engineering from University of Michigan, Ann Arbor, USA

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Biography

Mohamed Wiem Mkaouer is currently an Assistant Professor in the Software Engineering department, in the B. Thomas Golisano College of Computing and Information Sciences at the Rochester Institute of Technology. He received his PhD in 2016 from the University of Michigan. His research interests include software quality, systems refactoring, model-driven engineering and software testing. He is a member of the Search-based Software Engineering at Michigan research group, he is also a member of the Association for Computing Machinery and the IEEE Computer Society. He has collaborations with industrial companies on the use computational search and evolutionary algorithms to address several software engineering problems such as software quality, software remodularization, software evolution, etc. He published several papers in software engineering journals and conferences, including one best paper award. He has served as a reviewer and program committee member in several major journals and conferences (GECCO, EMSE, JSME, etc.) and an organization member of many conferences and workshops (SSBSE, NasBASE, etc.). He was also the web chair of the first North American Search Based Software Engineering Symposium (Nasbase2015) and he is now in the steering committee of the IEEE Search-Based Software Engineering Symposium (SSBSE).

Area of Interest:

Artificial Intelligence
Software Engineering
Software Evolution and Bug Management
Software Remodularization
Evolutionary Algorithms

Selected Publications

  1. Soui, M., M. Chouchane, N. Bessghaier, M.W. Mkaouer and M. Kessentini, 2022. On the impact of aesthetic defects on the maintainability of mobile graphical user interfaces: An empirical study. Inf. Syst. Front, 24: 659-676.
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  2. Sellami, K., A. Ouni, M.A. Saied, S. Bouktif and M.W. Mkaouer, 2022. Improving microservices extraction using evolutionary search. Inf. Software Technol., Vol. 151. 10.1016/j.infsof.2022.106996.
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  3. Saidani, I., A. Ouni, M. Ahasanuzzaman, S. Hassan, M.W. Mkaouer and A.E. Hassan, 2022. Tracking bad updates in mobile apps: A search-based approach. Empir. Software Eng., Vol. 27. 10.1007/S10664-022-10125-6.
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  4. Saidani, I., A. Ouni and M.W. Mkaouer, 2022. Improving the prediction of continuous integration build failures using deep learning. Autom. Softw. Eng., Vol. 29. 10.1007/s10515-021-00319-5.
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  5. Peruma, A., S. Simmons, E.A. AlOmar, C.D. Newman, M.W. Mkaouer and A. Ouni, 2022. How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow. Empir. Software Eng., Vol. 27. 10.1007/s10664-021-10045-x.
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  6. Marmolejos, L., E.A. AlOmar, M.W. Mkaouer, C.Newman and A. Ouni, 2022. On the use of textual feature extraction techniques to support the automated detection of refactoring documentation. Innovations Syst. Softw. Eng., 18: 233-249.
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  7. Daaji, M., A. Ouni, M.M. Gammoudi, S. Bouktif and M.W. Mkaouer, 2022. Multi-criteria web services selection: Balancing the quality of design and quality of service. ACM Trans. Internet Technol., Vol. 22. 10.1145/3446388.
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  8. Alshoaibi, D., M.W. Mkaouer, A. Ouni, A.M. Wahaishi, T. Desell and M. Soui, 2022. Search-based detection of code changes introducing performance regression. Swarm Evol. Comput., Vol. 73. 10.1016/j.swevo.2022.101101.
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  9. Alomar, E.A., T. Wang, V. Raut, M.W. Mkaouer, C. Newman and A. Ouni, 2022. Refactoring for reuse: An empirical study. Innovations Syst. Softw. Eng., 18: 105-135.
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  10. Almarimi, N., A. Ouni, M. Chouchen and M.W. Mkaouer, 2022. Improving the detection of community smells through socio‐technical and sentiment analysis. J. Software Evolu. Process, 10.1002/smr.2505.
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  11. Aljedaani, W., R. Krasniqi, S. Aljedaani, M.W. Mkaouer, S. Ludi and K. Al-Raddah, 2022. If online learning works for you, what about deaf students? Emerging challenges of online learning for deaf and hearing-impaired students during COVID-19: A literature review. Univ. Access Inf. Soc., 10.1007/s10209-022-00897-5.
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  12. Aljedaani, W., I. Abuhaimed, F. Rustam, M.W. Mkaouer, A. Ouni and I. Jenhani, 2022. Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Soc. Netw. Anal. Min., Vol. 12. 10.1007/s13278-022-00946-0.
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  13. Aljedaani, W., F. Rustam, M.W. Mkaouer, A. Ghallab, V. Rupapara, P.B. Washington, E. Lee and I. Ashraf, 2022. Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry. Knowledge-Based Syst., Vol. 255. 10.1016/j.knosys.2022.109780.
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  14. AlOmar, E.A., J. Liu, K. Addo, M.W. Mkaouer, C. Newman, A. Ouni and Z. Yu, 2022. On the documentation of refactoring types. Autom. Softw. Eng., Vol. 29. 10.1007/s10515-021-00314-w.
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