| 2026 | ENASE | An Automated Evaluation of LLM Generated Code Maintainability Based on Multi-Level Measures and Comparative Analysis. | Rahma Becha, Asma Sellami, Nadia Bouassida, Ali Idri |
| 2024 | AINA | Automotive User Interface Based on LSTM-Grid Search Deep Learning Model for IoT Security Change Request Classification. | Zaineb Sakhrawi, Taher Labidi, Asma Sellami, Nadia Bouassida |
| 2024 | ENASE | MPED-SCRUM: An Automated Decision-Making Framework Based Measurement for Managing Requirement Change Within the SCRUM Process. | Hela Hakim, Asma Sellami, Hanne Ben-Abdallah |
| 2024 | ICSoft | A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation. | Hela Hakim, Asma Sellami, Hanne Ben-Abdallah |
| 2023 | HIS | Classifying Security Change Requests in IOT-Based Systems Using LSTM Deep Learning Model. | Yosra Abbes, Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida |
| 2022 | ICSoft | Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface. | Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida |
| 2020 | AICCSA | An Improved Prediction of Software Enhancement Effort using Correlation-Based Feature Selection and M5P ML Algorithm. | Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida |
| 2020 | ICSoft | An in-Depth Requirements Change Evaluation Process using Functional and Structural Size Measures in the Context of Agile Software Development. | Hela Hakim, Asma Sellami, Hanne Ben-Abdallah |
| 2020 | ICSR | Investigating the Impact of Functional Size Measurement on Predicting Software Enhancement Effort Using Correlation-Based Feature Selection Algorithm and SVR Method. | Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida |
| 2020 | ISDA | Diabetes Self-management Mobile Apps Improvement Based on Users' Reviews Classification. | Najwa Benalaya, Mariem Haoues, Asma Sellami |
| 2019 | ICCCI | An Ontology-Based Approach for Preventing Incompatibility Problems of Quality Requirements During Cloud SLA Establishment. | Taher Labidi, Zaineb Sakhrawi, Asma Sellami, Achraf Mtibaa |
| 2019 | ISDA | Requirements Change Requests Classification: An Ontology-Based Approach. | Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida |
| 2018 | ENASE | Using COSMIC FSM Method to Analyze the Impact of Functional Changes in Business Process Models. | Wiem Khlif, Asma Sellami, Mariem Haoues, Hanne Ben-Abdallah |
| 2018 | ICSoft | Orchestrating Functional Change Decisions in Scrum Process using COSMIC FSM Method. | Asma Sellami, Mariem Haoues, Nour Borchani, Nadia Bouassida |
| 2018 | ICSoft | Guiding the Functional Change Decisions in Agile Project: An Empirical Evaluation. | Asma Sellami, Mariem Haoues, Nour Borchani, Nadia Bouassida |
| 2017 | ICSoft | Analyzing Functional Changes in BPMN Models using COSMIC. | Wiem Khlif, Mariem Haoues, Asma Sellami, Hanne Ben-Abdallah |
| 2017 | SERA | Identifying and localizing the inter-consistency errors among UML use cases and activity diagrams: An approach based on functional and structural size measurements. | Hela Hakim, Asma Sellami, Hanne Ben-Abdallah |
| 2016 | AICCSA | Predicting the functional change status in UML activity diagram from the use case diagram. | Mariem Haoues, Asma Sellami, Hanne Ben-Abdallah |
| 2016 | CRiSIS | Analyzing the Risk of Authenticity Violation Based on the Structural and Functional Sizes of UML Sequence Diagrams. | Hela Hakim, Asma Sellami, Hanne Ben-Abdallah |
| 2014 | ICSE | Design test process in component-based software engineering: an analysis of requirements scalability. | Mariem Haoues, Asma Sellami, Hanne Ben-Abdallah |
| 2013 | ENASE | Analyzing UML Activity and Component Diagrams - An Approach based on COSMIC Functional Size Measurement. | Asma Sellami, Mariem Haoues, Hanne Ben-Abdallah |
| 2013 | ENASE | Automated COSMIC-Based Analysis and Consistency Verification of UML Activity and Component Diagrams. | Asma Sellami, Mariem Haoues, Hanne Ben-Abdallah |
| 2009 | ICSEA | Functional Size of Use Case Diagrams: A Fine-Grain Measurement. | Asma Sellami, Hanne Ben-Abdallah |