Publications

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W. Ettazi, Nassar, M., et Hafiddi, H., « CATS-CAE reflective middleware framework for adapting context-aware transactional services: Using a hybrid policy-based approach », International Journal of Web Services Research, vol. 17, p. 40-58, 2020.
J. E. L. Bouroumi, Guermah, H., Nassar, M., et Kriouile, A., « CBPM: An Approach for Contextual Business Process Modeling », in 4th International Conference on Intelligent Computing in Data Sciences, ICDS 2020, 2020.
E. C. Houssaini, Nassar, M., et Kriouile, A., « A cloud service template for enabling accurate cloud adoption and migration », in Proceedings of 2015 International Conference on Cloud Computing Technologies and Applications, CloudTech 2015, 2015.
M. Nassar, Anwar, A., Ebersold, S., Elasri, B., Coulette, B., et Kriouile, A., « Code generation in VUML profile: A model driven approach », in 2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009, 2009, p. 412-419.
S. Bennani, M. Hamlaoui, E., Nassar, M., Ebersold, S., et Coulette, B., « Collaborative model-based matching of heterogeneous models », in Proceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018, 2018, p. 152-157.
T. Fissaa, M. Hamlaoui, E., Guermah, H., Hafiddi, H., et Nassar, M., « Combining planning and learning for context aware service composition », International Journal of Data Analysis Techniques and Strategies, vol. 13, p. 151-169, 2021.
I. Choukri, Guermah, H., Daosabah, A., et Nassar, M., « Context aware Hidden Markov Model for Intention process mining », in 5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021.
H. Hafiddi, Nassar, M., Baidouri, H., B. Asri, E., et Kriouile, A., « A context-aware service centric approach for service oriented architectures », in ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, 2011, vol. 3 ISAS, p. 176-183.
A. Boumahdi, M. Hamlaoui, E., et Nassar, M., « Crisis management systems: Big data and machine learning approach », in ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, 2020, p. 603-610.

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