Researcher-lecturer

DAAJI Marwa

Contact

Email :
Phone number : +33 6 08 68 01 79

ResearchGate

scholar.google.com.my

Campus CESI de Pau
8 Rue des Frères Charles et Alcide d’Orbigny
64000 Pau

Research team

Engineering and Numerical Tools

Educational activities

  • Discipline : Computer Science: Web Development
  • Level : Undergraduate studies

Background

  • PhD
    Faculty of Sciences of Tunis, Tunisia, 2021
    « Web service interfaces decomposition based on formal concept analysis, design anti-pattern detection and correction using machine learning and genetic algorithms »
  • Engineering degree
    High Institute of Art And Multimédia of Manouba, Tunisia, 2015
    « Method for generating consensual association rules based on Formal Concept Analysis»

Research interests

  • Predictive maintenance
  • Prediction and correction of Web Services Bugs

Publications

Synthèse (2017-2023)

  • ACL :2
  • C-INV :2

Selected publications

  • Daaji, M., Ouni, A., Gammoudi, M. M., Bouktif, S., & Mkaouer, M. W. (2023). BPEL process defects prediction using multi-objective evolutionary search. Journal of Systems and Software, Volume 204, 2023, 111767, ISSN 0164-1212, DOI: 10.1016/j.jss.2023.111767
  • Daagi, M., Ouni, A., Gammoudi, M. M., Bouktif, S., and Mkaouer, M. W. 2021. Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service. ACM Trans. Internet Technol. 22, 1, Article 12 (September 2021), 31 pages. DOI:https://dl.acm.org/doi/10.1145/3446388
  • M. Daagi, A. Ouniy, M. Kessentini, M. M. Gammoudi and S. Bouktif, “Web Service Interface Decomposition Using Formal Concept Analysis,” 2017 IEEE International Conference on Web Services (ICWS), 2017, pp. 172-179, doi: 10.1109/ICWS.2017.30
  • Ouni, A. Daagi, M. Kessentini, S. Bouktif and M. M. Gammoudi, “A Machine Learning-Based Approach to Detect Web Service Design Defects,” 2017 IEEE International Conference on Web Services (ICWS), 2017, pp. 532-539, doi: 10.1109/ICWS.2017.62