| 2023 | MODELS | Model-Driven Optimization: Towards Performance-Enhancing Low-Level Encodings. | Lars van Arragon, Carlos Diego Nascimento Damasceno, Daniel Strber |
| 2023 | MODELS | An Experimental Evaluation of Conformance Testing Techniques in Active Automata Learning. | Bharat Garhewal, Carlos Diego Nascimento Damasceno |
| 2022 | SPLC | A tool for analysing higher-order feature interactions in preprocessor annotations in C and C++ projects. | David Korsman, Carlos Diego Nascimento Damasceno, Daniel Strber |
| 2022 | SPLC | A benchmark for active learning of variability-intensive systems. | Shaghayegh Tavassoli, Carlos Diego Nascimento Damasceno, Mohammad Reza Mousavi, Ramtin Khosravi |
| 2022 | SPLC | Adaptive behavioral model learning for software product lines. | Shaghayegh Tavassoli, Carlos Diego Nascimento Damasceno, Ramtin Khosravi, Mohammad Reza Mousavi |
| 2021 | MODELS | Quality Guidelines for Research Artifacts in Model-Driven Engineering. | Carlos Diego Nascimento Damasceno, Daniel Strber |
| 2019 | IFM | Learning to Reuse: Adaptive Model Learning for Evolving Systems. | Carlos Diego Nascimento Damasceno, Mohammad Reza Mousavi, Adenilso da Silva Simo |
| 2019 | SPLC | Learning from difference: an automated approach for learning family models from software product lines. | Carlos Diego Nascimento Damasceno, Mohammad Reza Mousavi, Adenilso da Silva Simo |