Directory of Experts

You are here

Back to search results
Foutse Khomh
Eng., Ph.D (UdeM), Postdoc (Queen's U)

Research interests and affiliations

Research interests

Research interests of Professor Foutse Khomh include software maintenance and evolution, cloud engineering, service-centric software engineering, empirical software engineering, and software analytics.

Publications

Recent publications
Journal article
Barbez, A., Khomh, F. & Gueheneuc, Y.-G. (2020). A machine-learning based ensemble method for anti-patterns detection. Journal of Systems and Software, 161, 11 pages. Retrieved from https://doi.org/10.1016/j.jss.2019.110486
Journal article
Xu, B., An, L., Thung, F., Khomh, F. & Lo, D. (2020). Why reinventing the wheels? An empirical study on library reuse and re-implementation. Empirical Software Engineering, 25(1), 755-789. Retrieved from https://doi.org/10.1007/s10664-019-09771-0
Journal article
Johannes, D., Khomh, F. & Antoniol, G. (2019). A large-scale empirical study of code smells in JavaScript projects. Software Quality Journal, 27(3), 1271-1314. Retrieved from https://doi.org/10.1007/s11219-019-09442-9
Journal article
An, L., Castelluccio, M. & Khomh, F. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering, 24(4), 1799-1822. Retrieved from https://doi.org/10.1007/s10664-018-9677-7

Biography

Foutse Khomh is an Associate Professor in the Department of Computer Engineering at École Polytechnique de Montréal, where he leads the SWAT team on software analytics and cloud engineering research. Prior to this position, he was a Research Fellow at Queen's University (Canada), working with the Software Reengineering Research Group and the NSERC/RIM Industrial Research Chair in Software Engineering of Ultra Large Scale Systems. He received a  Ph.D.  in Computer Science from the University of Montreal (Dean's Honour List). He also received a Master's degree in Software Engineering from the National Advanced School of Engineering (Cameroon) and a D.E.A (Master's degree) in Mathematics from the University of Yaoundé I (Cameroon). He has experience as a Software Designer at different companies doing research, system design, and project management. 

His research interests include software maintenance and evolution, cloud engineering, service-centric software engineering, empirical software engineering, and software analytics. He received a CS-Can/Info-Can Outstanding Young Computer Science Researcher Prize for 2019. He has published several papers in international conferences and journals, including ICSME, ASE, SANER, ICWS, HPCC, ISSRE, JSS, JSEP, EMSE, and TSE. His work has received three Most Influential Paper Awards, five Best/Distinguished Paper Awards, and more than fifteen nominations for Best Paper Awards. He has served on the program committees of several international conferences including ICSME, SANER, MSR, ICPC, SCAM, ESEM and has reviewed for top international journals such as SQJ, EMSE, TSE, and TOSEM. He is on the Review Board of EMSE. He is program chair for Satellite Events at SANER 2015, program co-chair of SCAM 2015, ICSME 2018, PROMISE 2019, and ICPC 2019, general chair of ICPC 2018 and SCAM 2020, and co-general chair of SANER 2020. He is on the steering committee of PROMISE, SANER (chair), ICPC (chair), MSR, and ICSME (vice-chair). He is one of the organizers of the RELENG workshop series and is Associate Editor for the IEEE Software magazine. He is a member of ACM, IEEE, and IEEE Computer Society.

Link(s) of interest

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (5)

    • An, L. (2019). Understanding the Impact of Release Processes and Practices on Software Quality (Ph.D. Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/3857/
    • Kermansaravi, Z. (2019). Linguistic Anti-Patterns: Impact Analysis on Code Quality (Ph.D. Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/3950/
    • Morales Alvarado, R. (2017). Automated improvement of software design by search-based refactoring (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2878/
    • Saborido Infantes, R. (2017). Assisting developers and users in developing and choosing efficient mobile device apps (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2846/
    • Soh, Z. (2015). Improving Program Comprehension and Recommendation Systems Using Developers' Context (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2034/
  • Master's Thesis (10)

    • Ben Braiek, H. (2019). Towards Debugging and Testing Deep Learning Systems (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/3959/
    • Barbez, A. (2018). Deep Learning Structural and Historical Features for Anti-Patterns Detection (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3724/
    • Barrak, M.A. (2018). Just-in-Time Detection of Protection-Impacting Changes on Wordpress and Mediawiki (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3684/
    • Foundjem, A.T. (2017). Towards improving the reliability of live migration operations in openstack clouds (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2498/
    • Musavi Mirkalaei, S.P. (2017). API Failures in Openstack Cloud Environments (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2715/
    • Abtahizadeh, S.A. (2016). Understanding the Impact of Cloud Computing Patterns on Performance and Energy Consumption (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2296/
    • Bani, B. (2016). Understanding the Impact of Databases on the Energy Efficiency of Cloud Applications (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2256/
    • Mlouki, O. (2016). On the Detection of Licenses Violations in the Android Ecosystem (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2124/
    • Saboury, A. (2016). On the fault-proneness of Javascript code smells (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2445/
    • An, L. (2015). Improving Bug Triaging Using Software Analytics (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1908/

News about Foutse Khomh

NEWS | April 17, 2019
Appointments to three FRQ-IVADO research chairs for diversity and equity in data science | Read

Press review about Foutse Khomh

March 20, 2019, Québec Science, Tragédies aériennes: qu'est-ce que le logiciel MCAS? Le professeur Foutse Khomh, du Département de génie informatique et de génie logiciel de Polytechnique Montréal, explique ce qu'est un MCAS (pour Maneuvering Characteristics Augmentation System),  un logiciel anti-décrochage dont il est beaucoup question dans le dossier des récentes tragédies aériennes impliquant des appareils Boeing 737 Max. 
March 16, 2019, Le Devoir, Peut-on avoir confiance en nos avions? Le professeur au Département de génie informatique et de génie logiciel de Polytechnique Montréal, Foutse Khomh, commente le processus de certification dans l'industrie aérospatiale.