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H. Sbai et Fredj, M., « Variability Management in Business-IT Alignment: MDA based Approach », INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, vol. 7, p. 212-221, 2016.
H. Sbai, Fredj, M., et Kjiri, L., « Towards a Process Patterns based Approach for Promoting Adaptability in Configurable Process Models », in ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 3, 2013, p. 382-387.
H. Sbai, Fredj, M., et Kjiri, L., « Support for resources changes in configurable process models », in 2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2014, p. 1082-1087.
H. Sbaï, Fredj, M., Chakir, B., et Kjiri, L., « On managing evolution of configurable services based on configurable processes », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 616-621.
H. Sbaï, Fredj, M., et Kjiri, L., « Support for resources changes in configurable process models », in International Conference on Multimedia Computing and Systems -Proceedings, 2014, p. 1082-1087.
H. Sbaï, Fredj, M., et Chakir, B., « Generating services supporting variability from configurable process models », Journal of Theoretical and Applied Information Technology, vol. 72, p. 111-124, 2015.
H. Sbaï, Fredj, M., et Kjiri, L., « A process pattern for managing evolution of configurable reference process models », in CiSt 2012 - Proceedings: 2012 Colloquium in Information Science and Technology, 2012, p. 22-25.
H. Sbai, Fredj, M., et Kjiri, L., « To trace and guide evolution in configurable process models », in 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013.
M. Sayagh, Kerzazi, N., Adams, B., et Petrillo, F., « Software Configuration Engineering in Practice: Interviews, Survey, and Systematic Literature Review », IEEE Transactions on Software Engineering, 2018.
M. Sayagh, Kerzazi, N., Petrillo, F., Bennani, K., et Adams, B., « What should your run-time configuration framework do to help developers? », Empirical Software Engineering, vol. 25, p. 1259-1293, 2020.
M. Sayagh, Kerzazi, N., Adams, B., et Petrillo, F., « Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review », IEEE Transactions on Software Engineering, vol. 46, p. 646-673, 2020.
M. Sayagh, Kerzazi, N., et Adams, B., « On cross-stack configuration errors », in Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering, ICSE 2017, 2017, p. 255-265.
M. Sarhani, A. Afia, E., et Faizi, R., « Facing the feature selection problem with a binary PSO-GSA approach », Operations Research/ Computer Science Interfaces Series, vol. 62, p. 447-462, 2018.
M. Sarhani et Afia, A. El, « Intelligent System Based Support Vector Regression For Supply Chain Demand Forecasting », in 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, p. 79-83.
M. Sarhani et A. Afia, E., « Electric load forecasting using hybrid machine learning approach incorporating feature selection », in CEUR Workshop Proceedings, 2015, vol. 1580, p. 1-7.
M. Sarhani et Afia, A. E., « Generalization enhancement of support vector regression in electric load forecasting with model selection », in ACM International Conference Proceeding Series, 2018.
M. Sarhani et Afia, A. El, « Feature selection and parameter optimization of support vector regression for electric load forecasting », in 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT), 2016, p. 288-293.
M. Sarhani, Ezzinbi, O., Afia, A. E., et Benadada, Y., « Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem », in Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016, 2016.
M. Sarhani et A. Afia, E., « Intelligent system based support vector regression for supply chain demand forecasting », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 79-83.
M. Sarhani et Afia, A. El, « An Extension of X13-ARIMA-SEATS to Forecast Islamic Holidays Effect on Logistic Activities », in PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014), 2014, p. 79-84.
M. Sarhani, Ezzinbi, O., Afia, A. El, et Benadada, Y., « Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem », in PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL'16), 2016.
M. Sarhani, A. Afia, E., et Faizi, R., « Facing the feature selection problem with a binary PSO-GSA approach », Operations Research/ Computer Science Interfaces Series, vol. 62, p. 447-462, 2018.
M. Sarhani et A. Afia, E., « Feature selection and parameter optimization of support vector regression for electric load forecasting », in Proceedings of 2016 International Conference on Electrical and Information Technologies, ICEIT 2016, 2016, p. 288-293.
M. Sarhani et A. Afia, E., « An extension of X13-ARIMA-SEATS to forecast islamic holidays effect on logistic activities », in Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014, 2014, p. 79-84.
L. Sardi, Idri, A., Readman, L. M., Alami, H., Bezad, R., et Fernandez-Aleman, J. L., « Mobile health applications for postnatal care: Review and analysis of functionalities and technical features », Computer Methods and Programs in Biomedicine, vol. 184, 2020.

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