BOAM: A Business-oriented Identification Approach of Microservices within Legacy Systems
TBD
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Magnet: Method-based approach using graph neural network for microservices identification
I. Trabelsi, N. Moha, Y. -G. Guéhéneuc and L. Geffard, "Magnet: Method-Based Approach Using Graph Neural Network for Microservices Identification," 2024 IEEE 21st International Conference on Software Architecture (ICSA), Hyderabad, India, 2024, pp. 1-11, doi: 10.1109/ICSA59870.2024.00009.
MicroMatic: Fully automated microservices identification approach from monolithic systems
Trabelsi, I., Popa, B., Péreyrol, J., Beaulieu, P.O. and Moha, N., 2024, April. MicroMatic: Fully automated microservices identification approach from monolithic systems. In Proceedings of the ACM/IEEE 6th International Workshop on Software Engineering Research & Practices for the Internet of Things (pp. 7-13).
From legacy to microservices: A type‐based approach for microservices identification using machine learning and semantic analysis
Trabelsi, I., Abdellatif, M., Abubaker, A., Moha, N., Mosser, S., Ebrahimi‐Kahou, S. and Guéhéneuc, Y.G., 2023. From legacy to microservices: A type‐based approach for microservices identification using machine learning and semantic analysis. Journal of Software: Evolution and Process, 35(10), p.e2503.
On the maintenance support for microservice-based systems through the specification and the detection of microservice antipatterns
Tighilt, R., Abdellatif, M., Trabelsi, I., Madern, L., Moha, N. and Guéhéneuc, Y.G., 2023. On the maintenance support for microservice-based systems through the specification and the detection of microservice antipatterns. Journal of Systems and Software, 204, p.111755.
Talks
Magnet: Method-based approach using graph neural network for microservices identification
at IEEE 21st International Conference on Software Architecture (ICSA), Hyderabad, India,
MicroMatic: Fully automated microservices identification approach from monolithic systems
at ACM/IEEE 6th International Workshop on Software Engineering Research & Practices for the Internet of Things, ICSE, Lisbon, Portugal,
Leveraging Large Language Models for Legacy System Migration
at Software Engineering at Montreal meeting, Montréal, Canada,
Microservice Identication Approach using ML and Semantic Analysis
at Software Engineering at Montreal meeting, Montréal, Canada,
Poster: From Legacy to Microservices migration
at Consortium for Software Engineering Research Spring Meeting, Montréal, Canada,
Teaching
Service and leadership
- Currently signed in to 43 different slack teams