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ORCIDMohamed Aymen Saied
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2020 – today
- 2025
[j8]Khaled Sellami
, Mohamed Aymen Saied:
Extracting microservices from monolithic systems using deep reinforcement learning. Empir. Softw. Eng. 30(1): 1 (2025)- [i12]Khaled Sellami, Mohamed Aymen Saied:
Contrastive Learning-Enhanced Large Language Models for Monolith-to-Microservice Decomposition. CoRR abs/2502.04604 (2025) - 2024
- [i11]Meryam Chaieb, Mohamed Aymen Saied:
Migration to Microservices: A Comparative Study of Decomposition Strategies and Analysis Metrics. CoRR abs/2402.08481 (2024) - [i10]Meryam Chaieb, Mostafa Anouar Ghorab, Mohamed Aymen Saied:
Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid. CoRR abs/2405.03620 (2024) - [i9]Hajer Mhalla, Mohamed Aymen Saied:
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach. CoRR abs/2405.09657 (2024) - 2023
- [j7]Ali Ouni, Eman Abdullah AlOmar, Oumayma Hamdi, Mel Ó Cinnéide, Mohamed Wiem Mkaouer, Mohamed Aymen Saied:
On the impact of single and co-occurrent refactorings on quality attributes in android applications. J. Syst. Softw. 205: 111817 (2023) - [i8]Meryam Chaieb, Mohamed Aymen Saied:
Automate migration to microservices architecture using Machine Learning techniques. CoRR abs/2301.06508 (2023) - 2022
- [j6]Khaled Sellami, Ali Ouni, Mohamed Aymen Saied, Salah Bouktif, Mohamed Wiem Mkaouer:
Improving microservices extraction using evolutionary search. Inf. Softw. Technol. 151: 106996 (2022) - [j5]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Toward Using Package Centrality Trend to Identify Packages in Decline. IEEE Trans. Engineering Management 69(6): 3618-3632 (2022) - [c18]Mohamed Mouine, Mohamed Aymen Saied:
Event-Driven Approach for Monitoring and Orchestration of Cloud and Edge-Enabled IoT Systems. CLOUD 2022: 273-282 - [c17]Khaled Sellami, Mohamed Aymen Saied, Ali Ouni:
A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications. EASE 2022: 201-210 - [c16]Richardson Alexandre, Ali Ouni, Mohamed Aymen Saied, Salah Bouktif, Mohamed Wiem Mkaouer:
On the Identification of Third-Party Library Usage Patterns for Android Applications. EASE 2022: 255-259 - [c15]Khaled Sellami, Mohamed Aymen Saied, Ali Ouni, Rabe Abdalkareem:
Combining Static and Dynamic Analysis to Decompose Monolithic Application into Microservices. ICSOC 2022: 203-218 - [i7]Khaled Sellami, Mohamed Aymen Saied, Ali Ouni:
A Hierarchical-DBSCAN Method for Extracting Microservices from Monolithic Applications. CoRR abs/2206.07010 (2022) - 2021
- [j4]Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
A Kubernetes controller for managing the availability of elastic microservice based stateful applications. J. Syst. Softw. 175: 110924 (2021) - [i6]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Towards Using Package Centrality Trend to Identify Packages in Decline. CoRR abs/2107.10168 (2021) - 2020
- [j3]Mohamed Aymen Saied, Erick Raelijohn, Edouard Batot, Michalis Famelis, Houari A. Sahraoui:
Towards assisting developers in API usage by automated recovery of complex temporal patterns. Inf. Softw. Technol. 119 (2020) - [c14]Oussama Jebbar, Mohamed Aymen Saied, Ferhat Khendek, Maria Toeroe:
Regression Test Suite Reduction for Cloud Systems. ICST Workshops 2020: 477-486 - [i5]Maxime Gallais-Jimenez, Hoan Anh Nguyen, Mohamed Aymen Saied, Tien N. Nguyen, Houari A. Sahraoui:
API Misuse Detection An Immune System inspired Approach. CoRR abs/2012.14078 (2020) - [i4]Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
A Kubernetes Controller for Managing the Availability of Elastic Microservice Based Stateful Applications. CoRR abs/2012.14086 (2020)
2010 – 2019
- 2019
- [j2]Nuri Almarimi, Ali Ouni, Salah Bouktif, Mohamed Wiem Mkaouer, Raula Gaikovina Kula, Mohamed Aymen Saied:
Web service API recommendation for automated mashup creation using multi-objective evolutionary search. Appl. Soft Comput. 85 (2019) - [c13]Islem Saidani, Ali Ouni, Mohamed Wiem Mkaouer, Mohamed Aymen Saied:
Towards Automated Microservices Extraction Using Muti-objective Evolutionary Search. ICSOC 2019: 58-63 - [c12]Oussama Jebbar, Mohamed Aymen Saied, Ferhat Khendek, Maria Toeroe:
Poster: Re-Testing Configured Instances in the Production Environment - A Method for Reducing the Test Suite. ICST 2019: 367-370 - [c11]Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
Microservice Based Architecture: Towards High-Availability for Stateful Applications with Kubernetes. QRS 2019: 176-185 - [i3]Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
Kubernetes as an Availability Manager for Microservice Applications. CoRR abs/1901.04946 (2019) - 2018
- [j1]Mohamed Aymen Saied, Ali Ouni, Houari A. Sahraoui, Raula Gaikovina Kula, Katsuro Inoue, David Lo:
Improving reusability of software libraries through usage pattern mining. J. Syst. Softw. 145: 164-179 (2018) - [c10]Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
Deploying Microservice Based Applications with Kubernetes: Experiments and Lessons Learned. IEEE CLOUD 2018: 970-973 - [c9]Mohamed Aymen Saied, Houari A. Sahraoui, Edouard Batot, Michalis Famelis, Pierre-Olivier Talbot:
Towards the automated recovery of complex temporal API-usage patterns. GECCO 2018: 1435-1442 - [c8]Anas Shatnawi, Hudhaifa Shatnawi, Mohamed Aymen Saied, Zakarea Alshara, Houari A. Sahraoui, Abdelhak Seriai:
Identifying software components from object-oriented APIs based on dynamic analysis. ICPC 2018: 189-199 - [i2]Anas Shatnawi, Hudhaifa Shatnawi, Mohamed Aymen Saied, Zakarea Alshara, Houari A. Sahraoui, Abdelhak Seriai:
Identifying Components from Object-Oriented APIs Based on Dynamic Analysis. CoRR abs/1803.06235 (2018) - 2017
- [c7]Samuel Huppe, Mohamed Aymen Saied, Houari A. Sahraoui:
Mining complex temporal API usage patterns: an evolutionary approach. ICSE (Companion Volume) 2017: 274-276 - 2016
- [c6]Mohamed Aymen Saied, Houari A. Sahraoui:
A cooperative approach for combining client-based and library-based API usage pattern mining. ICPC 2016: 1-10 - [i1]Mohamed Aymen Saied, Ali Ouni, Houari A. Sahraoui, Raula Gaikovina Kula, Katsuro Inoue, David Lo:
Automated Inference of Software Library Usage Patterns. CoRR abs/1612.01626 (2016) - 2015
- [c5]Omar Benomar, Hani Abdeen, Houari A. Sahraoui, Pierre Poulin, Mohamed Aymen Saied:
Detection of software evolution phases based on development activities. ICPC 2015: 15-24 - [c4]Mohamed Aymen Saied, Hani Abdeen, Omar Benomar, Houari A. Sahraoui:
Could we infer unordered API usage patterns only using the library source code? ICPC 2015: 71-81 - [c3]Mohamed Aymen Saied, Omar Benomar, Houari A. Sahraoui:
Visualization based API usage patterns refining. VISSOFT 2015: 155-159 - [c2]Mohamed Aymen Saied, Omar Benomar, Hani Abdeen, Houari A. Sahraoui:
Mining Multi-level API Usage Patterns. SANER 2015: 23-32 - [c1]Mohamed Aymen Saied, Houari A. Sahraoui, Bruno Dufour:
An observational study on API usage constraints and their documentation. SANER 2015: 33-42
Coauthor Index
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last updated on 2025-03-13 21:26 CET by the dblp team
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