1. Lecture Notes in Computer Science;D Aguilera,2012
2. Basciani, F., Rocco, J.D., Ruscio, D.D., Iovino, L., Pierantonio, A.: A customizable approach for the automated quality assessment of modelling artifacts. In: 10th International Conference on the Quality of Information and Communications Technology, QUATIC 2016, Lisbon, Portugal, 6–9 September 2016, pp. 88–93 (2016)
3. Bertoa, M.F., Vallecillo, A.: Quality attributes for software metamodels (2010)
4. Bettini, L., Ruscio, D.D., Iovino, L., Pierantonio, A.: Quality-driven detection and resolution of metamodel smells. IEEE Access 7, 16364–16376 (2019)
5. Doan, K.H., Gogolla, M.: Extending a UML and OCL tool for meta-modeling: applications towards model quality assessment. In: Schaefer, I., Karagiannis, D., Vogelsang, A., Mindez, D., Seidl, C. (eds.) Modellierung 2018, pp. 205–220. GI, LNI 280 (2018)