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

100%

Software Engineering

62%

Software Evolution and Bug Management

90%

Software Remodularization

75%

Evolutionary Algorithms

55%

Research Publications in Numbers

Books
0

Chapters
3

Articles
33

Abstracts
53

Selected Publications

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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |
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.
CrossRef | Direct Link |