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Driss Allaki
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2020 – today
- 2024
- [c9]Ilyass Tarhri, Driss Allaki, Hamza Kamal Idrissi:
Towards Generating a Dataset for Failure Prediction in Microservices Applications. NETYS 2024: 225-230 - 2023
- [j3]Driss Allaki:
Solving a Multi-criteria Decision Problem to Efficiently Handle UML Model Inconsistencies. J. Softw. 18(2): 70-85 (2023) - [c8]Hassan Farsi, Driss Allaki, Abdeslam En-Nouaary, Mohamed Dahchour:
Dealing with Anti-Patterns When Migrating from Monoliths to Microservices: Challenges and Research Directions. CloudTech 2023: 1-8 - [c7]Ismail El Yamani, Souad Sadki, Hanan El Bakkali, Driss Allaki:
CL2S4P: A Privacy Policy Translator for Comprehensive Interpretation in Smart Healthcare Systems. CloudTech 2023: 1-7 - 2022
- [c6]Hassan Farsi, Driss Allaki, Abdeslam En-Nouaary, Mohamed Dahchour:
A Graph-based Solution to Deal with Cyclic Dependencies in Microservices Architecture. FiCloud 2022: 254-259 - 2021
- [c5]Hassan Farsi, Driss Allaki, Abdeslam En-Nouaary, Mohamed Dahchour:
Following Domain Driven Design principles for Microservices decomposition: is it enough? AICCSA 2021: 1-8
2010 – 2019
- 2019
- [c4]Souad Sadki, Hanan El Bakkali, Driss Allaki, Anas Chenguiti Ansari:
Predicting Patients' Health Behavior Based on Their Privacy Preferences. AICCSA 2019: 1-8 - 2018
- [c3]Driss Allaki, Mohamed Dahchour, Abdeslam En-Nouaary:
An AHP-Based Method to Fix Inconsistencies in UML Collaborative Modeling. CIST 2018: 1-5 - 2017
- [j2]Driss Allaki, Mohamed Dahchour, Abdeslam En-Nouaary:
Managing Inconsistencies in UML Models: A Systematic Literature Review. J. Softw. 12(6): 454-471 (2017) - 2016
- [c2]Driss Allaki, Mohamed Dahchour, Abdeslam En-Nouaary:
Detecting and fixing UML model inconsistencies using constraints. CIST 2016: 295-299 - [c1]Driss Allaki, Mohamed Dahchour, Abdeslam En-Nouaary:
A Constraint-based Approach for Checking Vertical Inconsistencies between Class and Sequence UML Diagrams. ICEIS (1) 2016: 441-447 - 2015
- [j1]Driss Allaki, Mohamed Dahchour, Abdeslam En-Nouaary:
A New Taxonomy of Inconsistencies in UML Models : with their Detection Methods for Better MDE. Int. J. Comput. Sci. Appl. 12(1): 48-65 (2015)
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