[1] Sharbaf, M., Zamani, B. & Sunyé, G. 2022."Automatic resolution of model merging conflicts using quality-based reinforcement learning," Journal of Computer Languages, Vol. 71, p. 101123.
[2] Batot E. R. & Sahraoui, H. 2022. "Promoting social diversity for the automated learning of complex MDE artifacts," Software and Systems Modeling, Vol. 21, No. 3, pp. 1159-1178, doi: 10.1007/s10270-021-00969-9.
[3] Akdur, D., Garousi, V. & Demirörs, O. 2018. "A survey on modeling and model-driven engineering practices in the embedded software industry," Journal of Systems Architecture, Vol. 91, pp. 62-82.
[4] Höppner, S., Kehrer, T. & Tichy, M. 2021. "Contrasting dedicated model transformation languages versus general purpose languages: a historical perspective on ATL versus Java based on complexity and size," Software and Systems Modeling, Vol. 21, No. 2, pp. 805-837, doi: 10.1007/s10270-021-00937-3.
[5] Rouhi, A., Kolahdouz Rahimi, S. & Lano, K. 2022. "Formalizing model transformation patterns," Journal of Software: Evolution and Process, Vol. 34, No. 2, p. e2406.
[6] Jilani, A. A., Khan, M. U., Iqbal, M. Z. & Usman, M. 2022. "An automated search‐based test model generation approach for structural testing of model transformations," Journal of Software: Evolution and Process, Vol. 34, No. 11, p. e2461, 2022.
[7] Weidmann, N., Yigitbas, E., Anjorin, A., Srivastava, A. & Jose, J. 2022. "Human-in-the-Loop Large-Scale Model Transformations with the VICToRy Debugger," J. Object Technol., Vol. 21, No. 3, pp. 3:1-15.
[8] Höppner, S., Haas, Y., Tichy, M. & Juhnke, K. 2022. "Advantages and disadvantages of (dedicated) model transformation languages: A qualitative interview study," Empirical Software Engineering, Vol. 27, No. 6, p. 159.
[9] Jouault, F., Allilaire, F., Bézivin, J. & Kurtev, I. 2008. "ATL: A model transformation tool," Science of computer programming, Vol. 72, No. 1-2, pp. 31-39.
[10] Eisenberg, M., Pichler, H.-P., Garmendia, A. & Wimmer, M. 2021. "Towards reinforcement learning for in-place model transformations," in 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), IEEE, pp. 82-88.
[11] Kolovos, D. S., Paige, R. F. & Polack, F. A. 2008."The epsilon transformation language," in Theory and Practice of Model Transformations: First International Conference, ICMT 2008, Zürich, Switzerland, July 1-2, 2008 Proceedings 1, 2008: Springer, pp. 46-60.
[12] Lano K. & Xue, Q. 2022. "Code Generation by Example," in MODELSWARD, pp. 84-92.
[13] Lano, K., Kolahdouz-Rahimi, S. & Fang, S. 2021. "Model transformation development using automated requirements analysis, metamodel matching, and transformation by example," ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 31, No. 2, pp. 1-71.
[14] Eisenberg, M.& Wimmer, M. 2024. "From single-objective to multi-objective reinforcement learning-based model transformation," Software and Systems Modeling, pp. 1-31.
[15] Burgueno, L., Cabot, J., Li, S. & Gérard, S. 2022. "A generic LSTM neural network architecture to infer heterogeneous model transformations," Software and Systems Modeling, Vol. 21, No. 1, pp. 139-15.
[16] Nikbakht-Nasrabadi, D., Samimi-Dehkordi, L. & Basiri, M. 2025. "A Preliminary Investigation into Automated Model Transformation Using Q-Learning: A Case Study," presented at the 29th International Conference of the Computer Society of Iran (CSICC 2025), Sharif University of Technology, Tehran.
[17] Samimi-Dehkordi, L., Zamani, B. & Kolahdouz-Rahimi, S. 2018."EVL+ Strace: a novel bidirectional model transformation approach," Information and Software Technology, Vol. 100, pp. 47-72.
[18] Westfechtel, B. 2018. "Case-based exploration of bidirectional transformations in QVT relations," Software & Systems Modeling, Vol. 17, pp. 989-1029.
[19] Willink, E. D. 2003."A concrete UML-based graphical transformation syntax: The UML to RDBMS example in UMLX," Metamodelling for MDA, p. 129.
