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References

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[BLV20] Besharati-Foumani H., Lohtander M., Varis J. (2020) Fundamentals and new achievements in feature-based modeling, a review. Procedia Manufacturing, 51, 998–1004. [BRC14] Bodein Y., Rose B., Caillaud E. (2014) Explicit reference modeling methodology in parametric CAD system. Computers in Industry 65(1), 136–147.

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[DSD20] Delahunty T., Seery N., Dunbar R., Ryan M. (2020) An exploration of the variables contributing to graphical education students’ CAD modelling capability. International Journal of Technology and Design Education, 30, 389–411. https://doi.org/10.1007/s10798-019-09503-x.

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[GGM19] Garikano X., Garmendia M., Manso A.P., Solaberrieta E. (2019) Strategic knowledge-based approach for CAD modelling learning. International Journal of Technology and Design Education, 29(4), 947–959. https://doi.org/10.1007/s10798-018-9472.

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Selected references corresponding to contributions from our research team

[*AJA21] Aranburu A., Justel D., Angulo I. (2021) Reusability and flexibility in parametric surface based models: A review of modeling strategies. Computer-Aided Design & Applications, 18(4), pp. 864–874.

[*AJC22] Aranburu A., Justel D., Contero, M., Camba, J.D. (2022) Geometric variability in parametric 3D models: implications for engineering design. 32nd CIRP Design Conference. E.N.S Paris-Saclay, Gif-sur-Yvette, France, from March 28th to March 30th, 2022.

[*CCC16] Camba, J. D., Contero, M., Company, P. (2016) Parametric CAD modeling: An analysis of strategies for design reusability, Computer-Aided Design, 74, 18–31.

[*CCC21] Camba J.D, Contero M., Company P., Hartman N. (2021) The cost of change in parametric modeling: A roadmap. Computer-Aided Design and Applications. 18(3), 634–643.

[*CCJ14] Camba J., Contero M., Johnson M. and Company P. (2014) Extended 3D annotations as a new mechanism to explicitly communicate geometric design intent and increase CAD model reusability. Computer-Aided Design, 57, 61–73.

[*CCO15] Company P., Contero M., Otey J. and Plumed R. (2015) Approach for developing coordinated rubrics to convey quality criteria in MCAD training. Computer-Aided Design, 63, 101–117.

[*CNC20] Company P., Naya F., Contero M. and Camba J.D. (2020) On the role of geometric constraints to support design intent communication and model reusability. Computer-Aided Design and Applications, 17(1), 61–76.

[*CPV02] Contero M., Company P., Vila C., Aleixos N. (2002). Product data quality and collaborative engineering. IEEE Computer Graphics and Applications, 22(3), 32–42.

[*GCC17] González-Lluch C., Company P., Contero M., Camba J.D., and Plumed R. A (2017) Survey on 3D CAD model quality assurance and testing tools. Computer-Aided Design, 83, 64–79.

[*GPP21] González-Lluch C., Plumed R., Pérez-López D. Company P., Contero M, and Camba J.D. (2021) A Constraint Redundancy Elimination Strategy to Improve Design Reuse in Parametric Modeling. Computers in Industry, 129, article 103460.

[*OCC18] Otey J., Company P., Contero M. and Camba J.D. (2018) Revisiting the design intent concept in the context of mechanical CAD education. Computer-Aided Design and Applications. 15(1), 47–60.

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