| 2026 | REFSQ | Extending iStar for Synthetic Data Generation and Simulation Modeling for Industry 5.0. | Vnia Sousa, Ana Lavalle, Alejandro Mat, Antnio Vieira, Maribel Yasmina Santos |
| 2024 | ER | Integrating Business and Process Analytics for Enhanced Data-Driven Decision-Making. | Vnia Sousa, Cristiana Vieira, Ana Lavalle, Antnio Vieira, Maribel Yasmina Santos |
| 2023 | ER | A smart data holistic approach for context-aware data analytics (AETHER-UA) (short paper). | Ana Lavalle, Alejandro Mat, Juan Trujillo, Miguel A. Teruel, Alexander Snchez Daz |
| 2023 | ER | A modeling approach for designing explainable Artificial Intelligence. | lvaro Navarro, Ana Lavalle, Alejandro Mat, Juan C. Trujillo |
| 2022 | DOLAP | A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms. | Ana Lavalle, Alejandro Mate, Juan Trujillo, Jorge Garca |
| 2022 | ER | Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems. | Ana Lavalle, Alejandro Mat, Juan Trujillo, Jorge Garca-Carrasco |
| 2020 | DOLAP | An Approach to Automatically Detect and Visualize Bias in Data Analytics. | Ana Lavalle, Alejandro Mat, Juan Trujillo |
| 2019 | ER | Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach. | Ana Lavalle, Alejandro Mat, Juan Trujillo |
| 2019 | RE | Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework. | Ana Lavalle, Alejandro Mat, Juan Trujillo, Stefano Rizzi |