Detection of software evolution phases based on development activities. - Omar Benomar; Hani Abdeen; Houari A. Sahraoui; Pierre Poulin; Mohamed Aymen Saied (ICPC, 2015)

Could we infer unordered API usage patterns only using the library source code? - Mohamed Aymen Saied; Hani Abdeen; Omar Benomar; Houari A. Sahraoui (ICPC, 2015)

Visualization based API usage patterns refining. - Mohamed Aymen Saied; Omar Benomar; Houari A. Sahraoui (VISSOFT, 2015)

Mining Multi-level API Usage Patterns. - Mohamed Aymen Saied; Omar Benomar; Hani Abdeen; Houari A. Sahraoui (SANER, 2015)

An observational study on API usage constraints and their documentation. - Mohamed Aymen Saied; Houari A. Sahraoui; Bruno Dufour (SANER, 2015)

A cooperative approach for combining client-based and library-based API usage pattern mining. - Mohamed Aymen Saied; Houari A. Sahraoui (ICPC, 2016)

Automated Inference of Software Library Usage Patterns. - Mohamed Aymen Saied; Ali Ouni 001; Houari A. Sahraoui; Raula Gaikovina Kula; Katsuro Inoue; David Lo 001 (CoRR, 2016)

Mining complex temporal API usage patterns: an evolutionary approach. - Samuel Huppe; Mohamed Aymen Saied; Houari A. Sahraoui (ICSE (Companion Volume), 2017)

Deploying Microservice Based Applications with Kubernetes: Experiments and Lessons Learned. - Leila Abdollahi Vayghan; Mohamed Aymen Saied; Maria Toeroe; Ferhat Khendek (IEEE CLOUD, 2018)

Towards the automated recovery of complex temporal API-usage patterns. - Mohamed Aymen Saied; Houari A. Sahraoui; Edouard Batot; Michalis Famelis; Pierre-Olivier Talbot (GECCO, 2018)

Identifying software components from object-oriented APIs based on dynamic analysis. - Anas Shatnawi; Hudhaifa Shatnawi; Mohamed Aymen Saied; Zakarea Alshara; Houari A. Sahraoui; Abdelhak Seriai (ICPC, 2018)

Identifying Components from Object-Oriented APIs Based on Dynamic Analysis. - Anas Shatnawi; Hudhaifa Shatnawi; Mohamed Aymen Saied; Zakarea Alshara; Houari A. Sahraoui; Abdelhak Seriai (CoRR, 2018)

Improving reusability of software libraries through usage pattern mining. - Mohamed Aymen Saied; Ali Ouni 001; Houari A. Sahraoui; Raula Gaikovina Kula; Katsuro Inoue; David Lo 001 (J. Syst. Softw., 2018)

Towards Automated Microservices Extraction Using Muti-objective Evolutionary Search. - Islem Saidani; Ali Ouni 001; Mohamed Wiem Mkaouer; Mohamed Aymen Saied (ICSOC, 2019)

Poster: Re-Testing Configured Instances in the Production Environment - A Method for Reducing the Test Suite. - Oussama Jebbar; Mohamed Aymen Saied; Ferhat Khendek; Maria Toeroe (ICST, 2019)

Microservice Based Architecture: Towards High-Availability for Stateful Applications with Kubernetes. - Leila Abdollahi Vayghan; Mohamed Aymen Saied; Maria Toeroe; Ferhat Khendek (QRS, 2019)

Web service API recommendation for automated mashup creation using multi-objective evolutionary search. - Nuri Almarimi; Ali Ouni 001; Salah Bouktif; Mohamed Wiem Mkaouer; Raula Gaikovina Kula; Mohamed Aymen Saied (Appl. Soft Comput., 2019)

Kubernetes as an Availability Manager for Microservice Applications. - Leila Abdollahi Vayghan; Mohamed Aymen Saied; Maria Toeroe; Ferhat Khendek (CoRR, 2019)

Regression Test Suite Reduction for Cloud Systems. - Oussama Jebbar; Mohamed Aymen Saied; Ferhat Khendek; Maria Toeroe (ICST Workshops, 2020)

API Misuse Detection An Immune System inspired Approach. - Maxime Gallais-Jimenez; Hoan Anh Nguyen; Mohamed Aymen Saied; Tien N. Nguyen; Houari A. Sahraoui (CoRR, 2020)

Towards assisting developers in API usage by automated recovery of complex temporal patterns. - Mohamed Aymen Saied; Erick Raelijohn; Edouard Batot; Michalis Famelis; Houari A. Sahraoui (Inf. Softw. Technol., 2020)

Towards Using Package Centrality Trend to Identify Packages in Decline. - Suhaib Mujahid; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab; Mohamed Aymen Saied; Bram Adams (CoRR, 2021)

A Kubernetes controller for managing the availability of elastic microservice based stateful applications. - Leila Abdollahi Vayghan; Mohamed Aymen Saied; Maria Toeroe; Ferhat Khendek (J. Syst. Softw., 2021)

Event-Driven Approach for Monitoring and Orchestration of Cloud and Edge-Enabled IoT Systems. - Mohamed Mouine; Mohamed Aymen Saied (CLOUD, 2022)

On the Identification of Third-Party Library Usage Patterns for Android Applications. - Richardson Alexandre; Ali Ouni 001; Mohamed Aymen Saied; Salah Bouktif; Mohamed Wiem Mkaouer (EASE, 2022)

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications. - Khaled Sellami; Mohamed Aymen Saied; Ali Ouni 001 (EASE, 2022)

Combining Static and Dynamic Analysis to Decompose Monolithic Application into Microservices. - Khaled Sellami; Mohamed Aymen Saied; Ali Ouni 001; Rabe Abdalkareem (ICSOC, 2022)

Improving microservices extraction using evolutionary search. - Khaled Sellami; Ali Ouni 001; Mohamed Aymen Saied; Salah Bouktif; Mohamed Wiem Mkaouer (Inf. Softw. Technol., 2022)

Toward Using Package Centrality Trend to Identify Packages in Decline. - Suhaib Mujahid; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab; Mohamed Aymen Saied; Bram Adams (IEEE Trans. Engineering Management, 2022)

Automate migration to microservices architecture using Machine Learning techniques. - Meryam Chaieb; Mohamed Aymen Saied (CoRR, 2023)

On the impact of single and co-occurrent refactorings on quality attributes in android applications. - Ali Ouni 001; Eman Abdullah AlOmar; Oumayma Hamdi; Mel Ó Cinnéide; Mohamed Wiem Mkaouer; Mohamed Aymen Saied (J. Syst. Softw., 2023)

Migration to Microservices: A Comparative Study of Decomposition Strategies and Analysis Metrics. - Meryam Chaieb; Mohamed Aymen Saied (CoRR, 2024)

Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid. - Meryam Chaieb; Mostafa Anouar Ghorab; Mohamed Aymen Saied (CoRR, 2024)

Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach. - Hajer Mhalla; Mohamed Aymen Saied (CoRR, 2024)

An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow. - Amina Bouaziz; Mohamed Aymen Saied; Mohammed Sayagh; Ali Ouni 001; Mohamed Wiem Mkaouer (SANER, 2025)

Contrastive Learning-Enhanced Large Language Models for Monolith-to-Microservice Decomposition. - Khaled Sellami; Mohamed Aymen Saied (CoRR, 2025)

Extracting microservices from monolithic systems using deep reinforcement learning. - Khaled Sellami; Mohamed Aymen Saied (Empir. Softw. Eng., 2025)