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From legacy to microservices: A type‐based approach for microservices identification using machine learning and semantic analysis

Published in Journal of Software: Evolution and Process, 2023

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: 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.

MicroMatic: Fully automated microservices identification approach from monolithic systems

Published in ACM/IEEE 6th International Workshop on Software Engineering Research & Practices for the Internet of Things, 2024

Recommended citation: 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).

Magnet: Method-based approach using graph neural network for microservices identification

Published in IEEE 21st International Conference on Software Architecture (ICSA), 2024

Recommended citation: 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.

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.